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The 12th Conference on Information Technology and Its Applications : Proceedings of the International Conference CITA 2023 / / edited by Ngoc Thanh Nguyen, Hoa Le-Minh, Cong-Phap Huynh, Quang-Vu Nguyen
| The 12th Conference on Information Technology and Its Applications : Proceedings of the International Conference CITA 2023 / / edited by Ngoc Thanh Nguyen, Hoa Le-Minh, Cong-Phap Huynh, Quang-Vu Nguyen |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (414 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
Le-MinhHoa
HuynhCong Phap NguyenQuang-Vu |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Engineering—Data processing
Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence |
| ISBN |
9783031368868
303136886X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents -- Data Science and Artificial Intelligence -- A New ConvMixer-Based Approach for Diagnosis of Fault Bearing Using Signal Spectrum -- 1 Introduction -- 2 Related Work -- 2.1 Conv-Mixer Neural Networks -- 2.2 Siamese Neural Networks -- 3 Methodology -- 3.1 General Architecture for Failure Diagnosis -- 3.2 The Proposed Siamese-Based Conv-Mixer Model -- 3.3 Diagnosis Network -- 4 Experiment -- 4.1 Datasets -- 4.2 Training -- 4.3 Results -- 4.4 Comparison -- 5 Conclusion -- References -- Differentially-Private Distributed Machine Learning with Partial Worker Attendance: A Flexible and Efficient Approach -- 1 Introduction -- 1.1 Background -- 1.2 Our Contributions -- 1.3 Paper Organization -- 2 Preliminaries -- 3 Our Proposed Algorithm -- 4 Experiments -- 5 Conclusion -- References -- Building Legal Knowledge Map Repository with NLP Toolkits -- 1 Introduction -- 2 Legal Knowledge Maps -- 2.1 Modeling -- 2.2 Hierarchy of Legislation -- 2.3 Legal Ontology Design -- 2.4 Legal Knowledge Map Construction -- 3 Implementation -- 3.1 Materials -- 3.2 Vietnamese NLP Toolkits -- 3.3 Building VLegalKMaps as Linked Data -- 4 Validations -- 4.1 Experiment Setup -- 4.2 Case Study -- 4.3 Statistics and Discussions -- 5 Conclusions and Future Works -- References -- Classification of Ransomware Families Based on Hashing Techniques -- 1 Introduction -- 2 Overview of Hashing Techniques in Malware Analysis -- 3 The Proposed Method -- 3.1 The Combined Analysis Method of Imphash, File Level Ssdeep Hashing, and Section Level Ssdeep Hashing -- 3.2 Preparing the Database -- 3.3 Predictive Model -- 3.4 Evaluation Criteria -- 4 Evaluations and Results -- 4.1 Experiment with Test Set Containing only Ransomware -- 4.2 Experiment with Test Set Containing both Malicious and Benign Samples.
4.3 Advantages and Limitations of the Proposed Method -- 5 Conclusions -- References -- Towards a New Multi-tasking Learning Approach for Human Fall Detection -- 1 Introduction -- 2 Related Work -- 2.1 Simulated Falls -- 2.2 Real Falls -- 2.3 Multi-task Learning -- 2.4 Summary -- 3 Multi-task Deep Neural Network for Fall Detection -- 3.1 Multiple Classifiers -- 3.2 Temporal Convolutional Network as a Feature Extractor -- 3.3 Re-sampling for Class and Task Balance -- 3.4 Data Augmentation -- 4 Experiments -- 4.1 Datasets -- 4.2 Experiment Settings -- 4.3 Evaluation and Discussion -- 5 Conclusion and Future Work -- References -- A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction -- 1 Introduction -- 2 Related Work -- 3 Feature Selection -- 3.1 Software Metrics -- 3.2 Genetic Algorithm -- 3.3 Particle Swarm Optimization -- 3.4 Whale Optimization Algorithm -- 3.5 Cuckoo Search -- 3.6 Mayfly Algorithm -- 3.7 Binary Bat Algorithm -- 3.8 Feature Selection Details -- 4 Methodology -- 4.1 Proposed Approach -- 4.2 VanillaGAN for Handling Imbalanced Data -- 4.3 Dataset -- 4.4 Evaluation Measurement -- 5 Experimental Result -- 6 Conclusion -- References -- Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites -- 1 Introduction -- 2 Methodology -- 2.1 Data Preparation and Pre-processing -- 2.2 Feature Extraction and Encoding -- 2.3 Model Construction, Learning and Evaluation -- 3 Results and Discussion -- 3.1 Impact of Amino Acid Composition and Single Features -- 3.2 Impact of Hybrid Features -- 3.3 RSXSUMO Model Construction -- 3.4 Comparison with Other Predictors -- 4 Conclusion -- References -- A Model for Alliance Partner Selection Based on GM (1, 1) and DEA Frameworks - Case of Vietnamese Coffee Industry -- 1 Introduction -- 2 Related Works -- 2.1 Strategic Alliance. 2.2 Grey Forecasting Model -- 2.3 Data Envelopment Analysis -- 3 Proposal Research -- 4 Case Study -- 4.1 DMU Collection -- 4.2 Inputs and Outputs Selection -- 4.3 Forecast the Performance of All DMU by GM (1, 1) Model. -- 4.4 Analysis Performance Before Alliance -- 4.5 Analysis the Performance After Alliance -- 5 Conclusions -- References -- Car Detector Based on YOLOv5 for Parking Management -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Machine Learning-Based Methods -- 2.2 CNN-Based Methods -- 3 Methodology -- 3.1 Proposed Network Architecture -- 3.2 Loss Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 4.4 Ablation Study -- 5 Conclusion -- References -- Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 3.1 Data Collection -- 3.2 Exploratory Data Analysis -- 3.3 Two-Stage Approach -- 4 Results and Discussions -- 4.1 Evaluation Metrics -- 4.2 Results -- 5 Conclusion -- References -- An Improved Transfer Learning-Based Approach for Detecting Abnormal Cervical Cells from Pap Smear Microscopic Images -- 1 Introduction -- 2 Abnormal Cervical Cells and Preprocessing Data -- 2.1 Abnormal Cervical Cells -- 2.2 Exploratory Data Analysis and Preprocessing -- 3 Transfer Learning and Proposed Approach -- 3.1 ResNet50v2 -- 3.2 EfficientNetv2L -- 3.3 Proposed Approach Based on Transfer Learning -- 4 Experimental Results -- 5 Conclusion -- References -- Digital Economy -- Emotional Intelligence and Social Media Site Experiences' Effects on College Choice Behavior: The Mediating Role of Brand Attitude -- 1 Introduction -- 2 Theoretical Background and Hypotheses -- 2.1 Website Experiences and Emotional intelligence -- 2.2 The Attitude Toward Website Model - AWS Model. 2.3 The Research Model and Hypotheses -- 3 Research Method -- 4 Research Result -- 4.1 Descriptive Data Statistics -- 4.2 Reliability Test Results -- 4.3 Exploratory Factor Analysis (EFA) Results -- 4.4 Research Model Testing -- 5 Discussion -- 6 Conclusion -- References -- Image and Natural Language Processing -- A Multi Context Decoder-based Network with Applications for Polyp Segmentation in Colonoscopy Images -- 1 Introduction -- 2 Related Work -- 2.1 Vision Transformer -- 2.2 Fusion On Multi Resolution Feature Map -- 3 Methodology -- 3.1 Overview -- 3.2 Generate Context Feature Map (GCF) -- 3.3 Decoder Block -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 4.4 Representative Results -- 4.5 Comparative Results -- 5 Conclusion -- References -- AMG-Mixer: A Multi-Axis Attention MLP-Mixer Architecture for Biomedical Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Network Architecture -- 3.1 AxialMBConv Token Mix and Mixer Building Block -- 3.2 Multi-scale Multi-axis MLP Gated (MS-MAMG) -- 3.3 Decoder Unit -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Strategy -- 4.3 Evaluation Metrics -- 4.4 Representative Results -- 4.5 Comparative Results -- 5 Conclusion -- References -- Investigating YOLO Models for Rice Seed Classification -- 1 Introduction -- 2 Methodology -- 2.1 YOLOv5 -- 2.2 YOLOv6 -- 2.3 YOLOv7 -- 3 Experiments and Results -- 3.1 Data Description -- 3.2 Performance Indicator -- 3.3 Result and Discussion -- 4 Conclusion -- References -- Extending OCR Model for Font and Style Classification -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Problem Formulation -- 3.2 Overview -- 3.3 Encoder -- 3.4 Decoder -- 3.5 Image-wise Font Clsasification -- 3.6 Style Classification -- 3.7 Loss Function -- 4 Experiments -- 4.1 Experiment Setting -- 4.2 Benchmarks. 4.3 Experiment Result and Discussion -- 5 Conclusion -- References -- STG-SimVP: Spatiotemporal GAN-Based SimVP for Video Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Video Frame Synthesis -- 2.2 Generative Adversarial Networks - GAN -- 2.3 SimVP -- 3 Proposed Methods -- 3.1 STG-SimVP -- 3.2 Dual Discriminators -- 3.3 Objective Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Details -- 4.3 Comparisons With State-of-the-Art Methods -- 5 Ablation Study -- 6 Limitations -- 7 Conclusion -- References -- Tritention U-Net: A Modified U-Net Architecture for Lung Tumor Segmentation -- 1 Introduction -- 2 Tritention U-Net Architechture (TU-Net) -- 2.1 Architechture Overview -- 2.2 Backbone U-Net Architecture -- 2.3 Tritention Gate -- 3 Experimental and Results -- 3.1 Dataset -- 3.2 Experimental Setup -- 3.3 Results -- 4 Conclusion -- References -- Multi-modal with Multiple Image Filters for Facial Emotion Recognition -- 1 Introduction -- 2 Multiple Filter Levels for FER -- 2.1 Multiple Model -- 2.2 Dropping Pixels - Processor -- 2.3 Blurring Image - Processor -- 3 Experimental and Results -- 3.1 Dataset -- 3.2 Experimental Setup -- 3.3 Results -- 4 Conclusion -- References -- Few-Shots Novel Space-Time View Synthesis from Consecutive Photos -- 1 Introduction -- 2 Related Work -- 3 Proposed Methods -- 3.1 Background: Neural Scene Flow Fields (NSFF) -- 3.2 NSFF with Encoder -- 4 Experiments -- 4.1 Implement Details -- 4.2 Evaluations -- 5 Limitations -- 6 Conclusion -- References -- Information Technology Skills Extractor for Job Descriptions in vku-ITSkills Dataset Using Natural Language Processing -- 1 Introduction -- 2 Preliminary -- 3 Construct IT Skills Dictionary and vku-ITSkills Dataset -- 4 The Proposed NLP Pipeline for IT Skills Extractor -- 4.1 Tokenizer -- 4.2 Transformers Based Token Embedding. 4.3 Part of Speech (POS) Tagging, Noun Phrases and Combination Rules. |
| Record Nr. | UNINA-9910736019003321 |
Nguyen Ngoc Thanh
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 13th Conference on Information Technology and Its Applications : Proceedings of the International Conference CITA 2024 / / edited by Ngoc Thanh Nguyen, Cong-Phap Huynh, Thanh Thuy Nguyen, Nhien-An Le-Khac, Quang-Vu Nguyen
| The 13th Conference on Information Technology and Its Applications : Proceedings of the International Conference CITA 2024 / / edited by Ngoc Thanh Nguyen, Cong-Phap Huynh, Thanh Thuy Nguyen, Nhien-An Le-Khac, Quang-Vu Nguyen |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (559 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
HuynhCong-Phap
NguyenThanh Thuy Le-KhacNhien-An NguyenQuang-Vu |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence |
| ISBN |
9783031741272
3031741277 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MiRNA disease associations prediction based on improving feature vectors quality combined with highly reliable negative samples selection -- signBEER Decentralized Optimization with Improved Communication by Signs -- Frequency spatial Feature Fusion Network for Infrared and Visible Image Fusion -- Combining Lora With AR In IoT Enabled Smart Farm Monitoring -- AI Fitness Trainer using 3D Human Pose Estimation and Dynamic Time Warping -- A Non Test Driver Concolic Based Unit Testing Method for Java Projects -- Deep Learning Based Convolutional Neural Network for Crash Severity Prediction -- Enhanced Attention based Multimodal Deep Learning for Product Categorization on E commerce Platform -- Pre trained Self Attention Framework An Efficient Mechanism for Source Separation -- Meta heuristic for a flight service scheduling problem in Viet Nam -- Implementation of a VCO based ADC on TSMC CMOS 65nm for Audio Applications -- Federated Learning of Random Oblique Stumps Tailored on the Raspberry Pi Zero for the ImageNet Challenge -- COMBINATION OF GALE SHAPLEY AND PESA II ALGORITHM IN STUDENT UNIVERSITY MATCH -- Optimising Deep Learning for Wearable Sensor based Fall Detection -- A New Approach for Concept Drift Detection in Visual Data -- cMDTPS Comprehensive Masked Modality Modeling with improved similarity distribution matching loss for Text based Person Search -- Implementing Efficient Memory Based Collaborative Filtering Recommendation Systems Methods for Improving Scalability in Training Phase -- A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model -- BERT based model for Vietnamese Fact Verification Dataset -- Statistical vs Neural Machine Translations for Khmer Braille -- Exploring Scalability in Large Scale Time Series in DeepVATS framework -- GEO An Approach for Out of Distribution Detection in Graph Neural Networks using Energy Scoring and One Class Learning -- COLLISION AVOIDANCE PROBLEM FOR ROBOTS IN SMART WAREHOUSES USING A FOCUSED DECENTRALIZED REINFORCEMENT LEARNING MODEL -- Data Augmentation Methods for Cross device Acoustic Scene Classification -- In depth with Spatial Temporal Graph Neural Networks for Traffic Forecasting An overview with Attention -- A group decision model using picture fuzzy rough approximation space -- Sentiment Analysis of Airline Customer Reviews in Vietnamese Language using Deep Learning -- How does Data Augmentation Affect to Model Performance in Long Tailed Classification? -- Improved Tomato Detector Supporting for Automatic Harvesting Systems -- Multi scale Convolutions Meet Group Attention for Dense Prediction Tasks -- Small Object Detection with Attention free Transformer for Aerial Surveillance System -- A Lightweight based Architecture for Nuclei Segmentation in Histopathology Images -- MCST Net A Multi Cross Spatial attention U net with Transformer block for Skin Lesion Segmentation -- Governance in Digital Entrepreneurship Ecosystems A Narrative Review -- Exploring Determinants of E banking Non adoption among Customers A case study in Export Import Commercial Joint Stock Bank, Vietnam -- Factors influencing the organizational commitment of employees in the digital work environment A case of Dak Lak province in Vietnam -- Enhanced the GMr (1,1) Model in Forecasting and Decision – Making -- RadSense Radio Sensing for Crime Monitoring in Restricted Access Areas -- An Effective Unsupervised Cyber Attack Detection on Web Applications using Gaussian Mixture Model -- 5G Core Security An Insider Threat Vulnerability Assessment -- Advancing Security in SDN IoT Networks DL Based Autonomous Anomaly Detection with Enhanced Cross Validation for Poisoning Attack Detection -- Multimodal Deep Learning Feedback for Generating Evasive Malware Samples against Malware Detector -- Advancing Phishing Attack Detection with A Novel Dataset and Deep Learning Solution. |
| Record Nr. | UNINA-9910906200503321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced methods for computational collective intelligence / / Ngoc Thanh Nguyen ... [et al.]
| Advanced methods for computational collective intelligence / / Ngoc Thanh Nguyen ... [et al.] |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2013 |
| Descrizione fisica | 1 online resource (X, 378 p.) |
| Disciplina | 006.3 |
| Collana | Studies in computational intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence |
| ISBN |
9783642343001
3642343007 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Semantic Web and Ontologies -- Part II: Social Networks and e-Learning -- Part III: Agent and Multiagent Systems -- Part IV: Data Mining Methods and Applications -- Part V: Soft computing -- Part VI: Optimization and Control. |
| Record Nr. | UNINA-9910437766203321 |
|
Nguyen Ngoc Thanh
|
||
| Berlin ; ; New York, : Springer, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Advances in Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (779 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BotzheimJános
GulyásLászló NunezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision |
| ISBN | 3-031-41774-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Collective Intelligence and Collective Decision-Making -- Assessing the Effects of Expanded Input Elicitation and Machine Learning-based Priming for Crowd Stock Prediction -- RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-based Recommender Systems -- Personalized Quiz-Based Perfume Recommender System Using Social Data -- LSTM-based QoE Evaluation for Web Microservices’ Reputation Scoring -- Previous Opinions is All You Need - Legal Information Retrieval System -- An Agent-Based Network Model for Interpersonal Emotion Regulation in Human-Bot Interaction -- Deep Learning Techniques -- Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning -- Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content during the Spread of the Coronavirus Pandemic -- Interpretation of immunofluorescence slides by Deep Learning techniques: Anti-nuclear antibodies case study -- An improved approach for Parkinson’s disease classification based on convolutional neural network -- A Convolutional Recurrent Neural Network model for Classification of Parkinson’s Disease from Resting State EEG signals -- Recognition of Alzheimer’s Disease based on Transfer Learning Approach using Brain MRI Images With Regularization -- Detection and analyzing satellite images by using Conventional neural network -- Classifying Chicken-Made Food Images Using Enhanced MobilNetV2 -- Natural Language Processing -- Initial approach to pharmaceutical opinion search in polish language -- WSDTN a novel dataset for Arabic word sense disambiguation -- CNN-BiLSTM model for Arabic Dialect Identification -- Active Learning with AraGPT2 for Arabic Named Entity Recognition -- FreMPhone: A French Mobile Phone Corpus for Aspect-based Sentiment Analysis -- OTSummarizer an Optimal Transport based approach for extractive text summarization -- Towards a hybrid document indexing approach for Arabic documentary retrieval system -- Sh-DistilBERT: new transfer learning model for Arabic Sentiment Analysis and Aspect Category Detection -- Data Minning and Machine learning -- A hybrid method of k-nearest neighbors with decision tree for water quality classification in aquaculture -- Evaluating Web Crawlers with Machine Learning Algorithms for Accurate Location Extraction from Job Offers -- A Design Science Research Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS Inertial Sensors Using Machine Learning -- Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets -- AAPL forecasting using contemporary time series models -- Improving Gossip Learning via Limited Model Merging -- Ensemble Machine Learning-Based Egg Parasitism Identification for Endangered Bird Conservation -- Social Networks and Speek Communication -- A Comparative Analysis of Long Covid in the French Press and Twitter -- Semantic analysis of transit related tweets in London and Prague -- k-shell Without Decomposition -- Difficulties developing a children’s speech recognition system for languages with limited training data -- Kazakh-Uzbek Speech Cascade Machine Translation on Complete Set of Endings -- Cybersecurity and Internet of Things -- Human-related security threats and countermeasures of electronic banking and identity services - Polish case study -- Design and Development of IoT based Medical Cleanroom -- Reliable framework for Digital Forensics in Medical Internet of Things -- Federated Learning - Opportunities and Application Challenges -- Cooperative Strategies for Decision Making and Optimization -- A new Ant population based improvement heuristic for solving large scale TSP -- Comparison of various mutation operators of the bacterial memetic algorithm on the traveling salesman problem -- Comparing Lamarckian and Baldwinian Approaches in Memetic Optimization -- A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem -- Generalized objective function to ensure robust evaluation for evolutionary storage location assignment algorithms -- Bacterial Evolutionary Algorithm based Autoencoder Architecture Search for Anomaly Detection -- Digital Content Understanding and Apllication for Industry 4.0 -- Improved Object Detection by Utilizing the Image Stream -- Combination of DE-GAN With CNN-LSTM for Arabic OCR on Images with Colorful Backgrounds -- A Solution for Building a V-Museum Based on Virtual Reality Application -- Synthetic football sprite animations learned across the pitch -- Solving the Hydrophobic-Polar model with Nested Monte Carlo Search -- Ground Truth Data Generator In Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations -- Theoretical and empirical testing of the randomness of a quantum random number generator with quantum entanglement -- Computational Intelligence in Medical Applications -- Robust Brain Age Estimation via Regression Models and MRI-derived Features -- Efficient Analysis of Patient Length of Stay in Hospitals Using Classification and Clustering Approaches. Electrocardiogram-based Heart Disease Classification with Machine Learning Techniques -- SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-ray Images -- A New Approach For The Diagnosis of Children Personality Disorders Based On Semantic Analysis -- Comparative Analysis of Human Action Recognition Classification for Ambient Assisted Living -- Overview of Time Series Classification based on symbolic discretization for ECG applications -- Res 1D CNN and BiLSTM with Attention Mechanism Integration for Arrhythmia Diagnosis. |
| Record Nr. | UNISA-996550553803316 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (779 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BotzheimJános
GulyásLászló NunezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision |
| ISBN |
9783031417740
3031417747 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Collective Intelligence and Collective Decision-Making -- Assessing the Effects of Expanded Input Elicitation and Machine Learning-based Priming for Crowd Stock Prediction -- RaReSi: An Approach Combining Ratings and Reviews to Measure User Similarity in Neighbor-based Recommender Systems -- Personalized Quiz-Based Perfume Recommender System Using Social Data -- LSTM-based QoE Evaluation for Web Microservices’ Reputation Scoring -- Previous Opinions is All You Need - Legal Information Retrieval System -- An Agent-Based Network Model for Interpersonal Emotion Regulation in Human-Bot Interaction -- Deep Learning Techniques -- Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning -- Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content during the Spread of the Coronavirus Pandemic -- Interpretation of immunofluorescence slides by Deep Learning techniques: Anti-nuclear antibodies case study -- An improved approach for Parkinson’s disease classification based on convolutional neural network -- A Convolutional Recurrent Neural Network model for Classification of Parkinson’s Disease from Resting State EEG signals -- Recognition of Alzheimer’s Disease based on Transfer Learning Approach using Brain MRI Images With Regularization -- Detection and analyzing satellite images by using Conventional neural network -- Classifying Chicken-Made Food Images Using Enhanced MobilNetV2 -- Natural Language Processing -- Initial approach to pharmaceutical opinion search in polish language -- WSDTN a novel dataset for Arabic word sense disambiguation -- CNN-BiLSTM model for Arabic Dialect Identification -- Active Learning with AraGPT2 for Arabic Named Entity Recognition -- FreMPhone: A French Mobile Phone Corpus for Aspect-based Sentiment Analysis -- OTSummarizer an Optimal Transport based approach for extractive text summarization -- Towards a hybrid document indexing approach for Arabic documentary retrieval system -- Sh-DistilBERT: new transfer learning model for Arabic Sentiment Analysis and Aspect Category Detection -- Data Minning and Machine learning -- A hybrid method of k-nearest neighbors with decision tree for water quality classification in aquaculture -- Evaluating Web Crawlers with Machine Learning Algorithms for Accurate Location Extraction from Job Offers -- A Design Science Research Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS Inertial Sensors Using Machine Learning -- Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets -- AAPL forecasting using contemporary time series models -- Improving Gossip Learning via Limited Model Merging -- Ensemble Machine Learning-Based Egg Parasitism Identification for Endangered Bird Conservation -- Social Networks and Speek Communication -- A Comparative Analysis of Long Covid in the French Press and Twitter -- Semantic analysis of transit related tweets in London and Prague -- k-shell Without Decomposition -- Difficulties developing a children’s speech recognition system for languages with limited training data -- Kazakh-Uzbek Speech Cascade Machine Translation on Complete Set of Endings -- Cybersecurity and Internet of Things -- Human-related security threats and countermeasures of electronic banking and identity services - Polish case study -- Design and Development of IoT based Medical Cleanroom -- Reliable framework for Digital Forensics in Medical Internet of Things -- Federated Learning - Opportunities and Application Challenges -- Cooperative Strategies for Decision Making and Optimization -- A new Ant population based improvement heuristic for solving large scale TSP -- Comparison of various mutation operators of the bacterial memetic algorithm on the traveling salesman problem -- Comparing Lamarckian and Baldwinian Approaches in Memetic Optimization -- A Fitness Approximation Assisted Hyper-heuristic for the Permutation Flowshop Problem -- Generalized objective function to ensure robust evaluation for evolutionary storage location assignment algorithms -- Bacterial Evolutionary Algorithm based Autoencoder Architecture Search for Anomaly Detection -- Digital Content Understanding and Apllication for Industry 4.0 -- Improved Object Detection by Utilizing the Image Stream -- Combination of DE-GAN With CNN-LSTM for Arabic OCR on Images with Colorful Backgrounds -- A Solution for Building a V-Museum Based on Virtual Reality Application -- Synthetic football sprite animations learned across the pitch -- Solving the Hydrophobic-Polar model with Nested Monte Carlo Search -- Ground Truth Data Generator In Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations -- Theoretical and empirical testing of the randomness of a quantum random number generator with quantum entanglement -- Computational Intelligence in Medical Applications -- Robust Brain Age Estimation via Regression Models and MRI-derived Features -- Efficient Analysis of Patient Length of Stay in Hospitals Using Classification and Clustering Approaches. Electrocardiogram-based Heart Disease Classification with Machine Learning Techniques -- SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-ray Images -- A New Approach For The Diagnosis of Children Personality Disorders Based On Semantic Analysis -- Comparative Analysis of Human Action Recognition Classification for Ambient Assisted Living -- Overview of Time Series Classification based on symbolic discretization for ECG applications -- Res 1D CNN and BiLSTM with Attention Mechanism Integration for Arrhythmia Diagnosis. |
| Record Nr. | UNINA-9910746295203321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (415 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
FranczykBogdan
LudwigAndré NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 3-031-70819-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur´an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer’s disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes. |
| Record Nr. | UNINA-9910886987303321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence : 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (418 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
FranczykBogdan
LudwigAndré NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 3-031-70816-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Collective Intelligence and Collective Decision-Making. -- Collective Computational Intelligence – challenges and opportunities. -- Reward-based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem. -- A Novel Multi-Criteria Approach Supporting Strong Sustainability Assessment. -- Enhancing Focused Ant Colony Optimization for Large-Scale Traveling Salesman Problems through Adaptive Parameter Tuning. -- Parallelized Population-based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. -- A Collective Intelligence To Predict Stock Market Indices Applying An Optimized Hybrid Ensemble Learning Model. -- Deep Learning Techniques. -- Melanoma detection using CBR approach within a possibilistic framework. -- GANet - Learning tabular data using global attention. -- COVID-19 Detection based on Deep Features and SVM. -- Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features. -- Interpreting results of VGG-16 for COVID-19 diagnosis on CT images. -- A hybrid approach using 2D CNN and attention-based LSTM for Parkinson’s Disease Detection from video. -- Improved CNN Model Stability and Robustness with Video Frame Segmentation. -- Deep Learning for Cardiac Diseases Classification. -- Natural Language Processing. -- BABot: a Framework for the LLM-based Chatbot Supporting Business Analytics in e-Commerce. -- BioBERT for Multiple knowledge-based question expansion and biomedical extractive question answering. -- AMAMP: A Two-Phase Adaptive Multi-hop Attention Message Passing Mechanism For Logical Reasoning Machine Reading Comprehension. -- Enhancing Low-Resource NER via Knowledge Transfer from LLM. -- Efficient Argument Classification with Compact Language Models and ChatGPT-4 Refinements. -- Refining Natural Language Inferences using Cross-Document Structure Theory. -- Data Mining and Machine Learning. -- Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision. -- Detection and Classification of olive leaves diseases using machine learning algorithms. -- Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. -- Detection of candidate skills from job offers and comparison with ESCO database. -- Multi-objective and Randomly Distributed Fuzzy Logic-based Unequal Clustering in Heterogeneous Wireless Sensor Networks. -- nMITP-Miner: An efficient method for mining frequent maximal inter-transaction patterns. -- A heterogeneous ensemble of classifiers for sports betting: based on the English Premier League. -- The New K-Means Initialization Method. -- Efficiently discover multi-level maximal high-utility patterns from hierarchical databases. |
| Record Nr. | UNINA-9910886988403321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence [[electronic resource] ] : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (859 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BotzheimJános
GulyásLászló NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN | 3-031-41456-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Collective Intelligence and Collective Decision-Making -- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions -- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management -- An Architecture for Enabling Collective Intelligence in IoT Networks -- Self-Organizing Maps for Data Purchase Support in Data Marketplaces -- Agent based model of elementary school group learning – a case study -- Deep Learning Techniques -- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks -- DNGAE: Deep Neighborhood Graph Autoencoder for robust blind hyperspectral unmixing -- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition -- Graph Convolution Collaborative Filtering with Dense Embeddings -- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-Bones Particle Swarm Optimization for Chest X-ray Image Classification -- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection -- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series -- Efficient Sparse Networks from Watts-Strogatz Network Priors -- Natural Language Processing -- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation -- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method -- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology -- Detecting Duplicate Multiple Choice Questions in The Large Question Bank -- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform -- Data Minning and Machine learning -- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach -- Complexity-Based Code Embeddings -- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study -- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation -- Staircase Recognition based on Possibilistic Feature Quality Assessment Method -- Social Networks and Intelligent Systems -- Toward effective link prediction based on local information in organizational social networks -- A new topic modeling method for tweets comparison -- Measuring gender: A machine learning approach to social media demographics and author profiling -- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach -- Educational Videos Recommendation System Based On Topic Modeling -- Cybersecurity, Blockchain Technology and Internet of Things -- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems -- Trust Assessment on Data Stream Imputation in IoT Environments -- Optimizing Merkle Tree Structure for Blockchain transactions by a DC Programming approach -- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living -- Hyperledger blockchain-enabled cold chain application for flower logistics -- A Fully Decentralized Privacy-Enabled Federated Learning System -- Cooperative Strategies for Decision Making and Optimization -- Two-dimensional Pheromone in Ant Colony Optimization -- Analysis of different reinsertion strategies in Steady State Genetic Algorithm -- Traffic Optimization by Local Bacterial Memetic Algorithm -- Optimizing Fire Control Monitoring System in Smart Cities -- Computational Intelligence for Digital Content Understanding -- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning -- Speaker Identification Enhancement Using Emotional Features -- Classification of punches in Olympic boxing using static RGB cameras -- Learning Human Postures using Lab-Depth HOG Descriptors -- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis -- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network -- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification -- Intelligent Automated Pancreas Segmentation using U-Net Model Variants -- Knowledge Engineering and Apllication for Industry 4.0 -- Energy and Congestion Awareness Traffic Scheduling in Hybrid Software-Defined Network with Flow Splitting -- "Is Proton good enough?" - a performance comparison between gaming on Windows and Linux -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complex layers of ranked prognostic models -- Project Team Members competences configuration: a proactive and reactive approach -- Computational Intelligence in Medical Applications -- Teeth disease recognition based on X-ray images -- Predicting Alzheimer’s Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort -- MEP: A Comprehensive Medicines Extraction System on Prescriptions -- New Approaches to Monitoring Respiratory Activity as Part of an Intelligent Model for Stress Assessment -- An Adaptive Network Model for Anorexia Nervosa: Addressing the Effects of Therapy -- ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 chest X-Ray image -- Ensemble Models and Data Fusion -- Credit Risk Scoring Using a Data Fusion Approach -- Goal-oriented Classification of Football Results -- Learning from Imbalanced Data Streams Using Rotation-based Ensemble Classifiers -- DE-Forest – optimized decision tree ensemble -- Mining multiple class imbalanced datasets using a specialized balancing algorithm and the Adaboost technique -- Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks. |
| Record Nr. | UNISA-996550558803316 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz
| Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings / / edited by Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (859 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BotzheimJános
GulyásLászló NúñezManuel TreurJan VossenGottfried KozierkiewiczAdrianna |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Data structures (Computer science) Information theory Computer science Artificial Intelligence Computer Engineering and Networks Computer Communication Networks Data Structures and Information Theory Theory of Computation |
| ISBN |
9783031414565
303141456X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Collective Intelligence and Collective Decision-Making -- Hybrid Genetic Algorithms to Determine 2-Optimality Consensus for a Collective of Ordered Partitions -- From Fragmented Data to Collective Intelligence: A Data Fabric Approach for University Knowledge Management -- An Architecture for Enabling Collective Intelligence in IoT Networks -- Self-Organizing Maps for Data Purchase Support in Data Marketplaces -- Agent based model of elementary school group learning – a case study -- Deep Learning Techniques -- Deep Reinforcement Learning for Jointly Resource Allocation and Trajectory Planning in UAV-assisted Networks -- DNGAE: Deep Neighborhood Graph Autoencoder for robust blind hyperspectral unmixing -- Unlocking the Potential of Deep Learning and Filter Gabor for Facial Emotion Recognition -- Graph Convolution Collaborative Filtering with Dense Embeddings -- Automatic Quantization for Convolutional Neural Networks Based on Enhanced Bare-BonesParticle Swarm Optimization for Chest X-ray Image Classification -- A Convolutional Autoencoder Approach for Weakly Supervised Anomaly Video Detection -- Sparsity-invariant Convolution for Forecasting Irregularly Sampled Time Series -- Efficient Sparse Networks from Watts-Strogatz Network Priors -- Natural Language Processing -- Exploring the Role of Monolingual Data in Cross-Attention Pre-Training for Neural Machine Translation -- Development of a dictionary for preschool children with weak speech skills based on the Word2Vec method -- An abstractive automatic summarization approach based on a text comprehension model of cognitive psychology -- Detecting Duplicate Multiple Choice Questions in The Large Question Bank -- A Context-Aware Approach for Improving Dialog Act Detection in a Multilingual Conversational Platform -- Data Minning and Machine learning -- Efficient Association Rules Minimization Using a Double-Stage Quine-McCluskey-Based Approach -- Complexity-Based Code Embeddings -- Differentially Private Copulas, DAG and Hybrid Methods: a Comprehensive Data Utility Study -- Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation -- Staircase Recognition based on Possibilistic Feature Quality Assessment Method -- Social Networks and Intelligent Systems -- Toward effective link prediction based on local information in organizational social networks -- A new topic modeling method for tweets comparison -- Measuring gender: A machine learning approach to social media demographics and author profiling -- Crisis Detection by Social and Remote Sensing Fusion: A selective Attention Approach -- Educational Videos Recommendation System Based On Topic Modeling -- Cybersecurity, Blockchain Technology and Internet of Things -- A Two-hop Neighborhood Based Berserk Detection Algorithm for Probabilistic Model of Consensus in Distributed Ledger Systems -- Trust Assessment on Data Stream Imputation in IoT Environments -- Optimizing Merkle Tree Structure for Blockchain transactions by a DC Programming approach -- Wearable Tag for Indoor Localization in the context of Ambient Assisted Living -- Hyperledger blockchain-enabled cold chain application for flower logistics -- A Fully Decentralized Privacy-Enabled Federated Learning System -- Cooperative Strategies for Decision Making and Optimization -- Two-dimensional Pheromone in Ant Colony Optimization -- Analysis of different reinsertion strategies in Steady State Genetic Algorithm -- Traffic Optimization by Local Bacterial Memetic Algorithm -- Optimizing Fire Control Monitoring System in Smart Cities -- Computational Intelligence for Digital Content Understanding -- Desertification Detection in Satellite Images using Siamese Variational Autoencoder with Transfer Learning -- Speaker Identification Enhancement Using Emotional Features -- Classification of punches in Olympic boxing using static RGB cameras -- Learning Human Postures using Lab-Depth HOG Descriptors -- SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis -- Extrinsic Calibration Framework for Camera-Lidar Fusion using Recurrent Residual Network -- GAN-based Data Augmentation and Pseudo-Label Refinement for Unsupervised Domain Adaptation Person Re-Identification -- Intelligent Automated Pancreas Segmentation using U-Net Model Variants -- Knowledge Engineering and Apllication for Industry 4.0 -- Energy and Congestion Awareness Traffic Scheduling in Hybrid Software-Defined Network with Flow Splitting -- "Is Proton good enough?" - a performance comparison between gaming on Windows and Linux -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas -- Complex layers of ranked prognostic models -- Project Team Members competences configuration: a proactive and reactive approach -- Computational Intelligence in Medical Applications -- Teeth disease recognition based on X-ray images -- Predicting Alzheimer’s Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort -- MEP: A Comprehensive Medicines Extraction System on Prescriptions -- New Approaches to Monitoring Respiratory Activity as Part of an Intelligent Model for Stress Assessment -- An Adaptive Network Model for Anorexia Nervosa: Addressing the Effects of Therapy -- ReVQ-VAE: A Vector Quantization-Variational Autoencoder for COVID-19 chest X-Ray image -- Ensemble Models and Data Fusion -- Credit Risk Scoring Using a Data Fusion Approach -- Goal-oriented Classification of Football Results -- Learning from Imbalanced Data Streams Using Rotation-based Ensemble Classifiers -- DE-Forest – optimized decision tree ensemble -- Mining multiple class imbalanced datasets using aspecialized balancing algorithm and the Adaboost technique -- Investigation and prediction of Cognitive Load During Memory and Arithmetic Tasks. |
| Record Nr. | UNINA-9910746086503321 |
|
Nguyen Ngoc Thanh
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz
| Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (446 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
ChbeirRichard
ManolopoulosYannis FujitaHamido HongTzung-Pei NguyenLe Minh WojtkiewiczKrystian |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer science
Computer Science |
| ISBN |
9789819749850
9819749859 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Data Modelling and Smart Information Systems. -- A systematic review of medicinal plant identification using deep learning. -- KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification. -- MVis4LD: Multimodal Visual Interactive System for Lie Detection. -- ULTIMATE Project Toolkit for Robotic AI-based Data Analysis and Visualization. -- Adaptive Traffic Management System based on Real-time Traffic Conditions. -- Formalizing Data Metamodel Semantics for Mapping Patterns Specification. -- Evolution and Refinement of the Formal Framework for Collective Systems. -- Multi-criteria temporal intelligent decision support system for sustainable energy mix assessment. -- Image and Video Processing. -- Brain Tumor Segmentation with FPN-based EfficientNet and XAI. -- V-DETR: Pure Transformer for End-To-End Object Detection. -- Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing. -- Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Learning Architecture. -- Self-supervised adversarial masking for 3D point cloud representation learning. -- Facial Ethnicity Recognition Based on a New Joint Loss Function. -- Decision-making Approach for Early Plant Stress Detection from Hyperspectral Images. -- Adaptive Scheme of Clustering-based Unsupervised Learning for Person Re-identification. -- Machine Learning Algorithms in Theory and Practice. -- An ensemble classifier based on kNN with an interval threshold strategy. -- Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means. -- Invigorative Art. Can a Computer Program Be Creative?. -- Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. -- Identification of Users in a Gambling Problem with the Use of Machine Learning. -- Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback. -- On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks. -- Prediction and Recommendation Systems. -- A Clustering-Based Athlete Recommender System Considering the Discrepancy between Ability and Result. -- Interpretable Fuzzy Embedded Neural Network for Multivariate Time-Series Forecasting. -- How to Recommend Multidimensional Data with a Multiplex Graph?. -- Text, Speech and Natural Language Processing. -- Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text against Covid-19 Social Media Content. -- Comparative analysis of models for neural machine speech-to-text translation for Turkic state languages`. -- Vietnamese Automatic Speech Recognition for Financial Conversation Data. -- Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. -- Deep semantic biomedical document representation method. -- Synergistic Text Annotation based on Rule-based Expressions and DistilBERT. |
| Record Nr. | UNINA-9910874691403321 |
|
Nguyen Ngoc Thanh
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
