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Advances in Computational Collective Intelligence : 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Proceedings / / Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki (edsitors)
Advances in Computational Collective Intelligence : 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Proceedings / / Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki (edsitors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XXIX, 823 p. 348 illus., 240 illus. in color.)
Disciplina 006.33
Collana Communications in computer and information science
Soggetto topico Expert systems (Computer science)
Artificial intelligence
Intelligent agents (Computer software)
Semantic Web
Human-computer interaction
ISBN 3-030-63119-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Mining and Machine Learning -- Deep Learning and Applications for Industry 4.0 -- Recommender Systems -- Computer Vision Techniques -- Decision Support and Control Systems -- Intelligent Management Information Systems -- Innovations in Intelligent Systems -- Intelligent Modeling and Simulation Approaches for Games and Real World Systems -- Experience Enhanced Intelligence to IoT -- Data Driven IoT for Smart Society -- Applications of Collective Intelligence -- Natural Language Processing -- Low Resource Languages Processing -- Computational Collective Intelligence and Natural Language Processing.
Record Nr. UNISA-996465342303316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computational Collective Intelligence : 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Proceedings / / Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki (edsitors)
Advances in Computational Collective Intelligence : 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Proceedings / / Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki (edsitors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XXIX, 823 p. 348 illus., 240 illus. in color.)
Disciplina 006.33
Collana Communications in computer and information science
Soggetto topico Expert systems (Computer science)
Artificial intelligence
Intelligent agents (Computer software)
Semantic Web
Human-computer interaction
ISBN 3-030-63119-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Mining and Machine Learning -- Deep Learning and Applications for Industry 4.0 -- Recommender Systems -- Computer Vision Techniques -- Decision Support and Control Systems -- Intelligent Management Information Systems -- Innovations in Intelligent Systems -- Intelligent Modeling and Simulation Approaches for Games and Real World Systems -- Experience Enhanced Intelligence to IoT -- Data Driven IoT for Smart Society -- Applications of Collective Intelligence -- Natural Language Processing -- Low Resource Languages Processing -- Computational Collective Intelligence and Natural Language Processing.
Record Nr. UNINA-9910427697403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in computational collective intelligence : 13th international, conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29-October 1, 2021, proceedings / / edited by Krystian Wojtkiewicz [and three others]
Advances in computational collective intelligence : 13th international, conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29-October 1, 2021, proceedings / / edited by Krystian Wojtkiewicz [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (742 pages)
Disciplina 006.33
Collana Communications in Computer and Information Science
Soggetto topico Expert systems (Computer science)
Intelligent agents (Computer software)
ISBN 3-030-88113-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464513903316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in computational collective intelligence : 13th international, conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29-October 1, 2021, proceedings / / edited by Krystian Wojtkiewicz [and three others]
Advances in computational collective intelligence : 13th international, conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29-October 1, 2021, proceedings / / edited by Krystian Wojtkiewicz [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (742 pages)
Disciplina 006.33
Collana Communications in Computer and Information Science
Soggetto topico Expert systems (Computer science)
Intelligent agents (Computer software)
ISBN 3-030-88113-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910502981303321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part I / / 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 I / / 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 (342 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 9789819749829
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Advanced Data Analysis Methods. -- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data. -- Energy Measurement System for Data Lake: An Initial Approach. -- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction. -- Stochastic approaches for criteria weight identification in multi-criteria decision analysis. -- Exploring Data Preparation Modules by Examples. -- A novel approach to the use of explainability to mine network intrusion detection rules`. -- AI-driven Cybersecurity And Medical Solutions. -- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification. -- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis. -- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques. -- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine. -- Application of Generative Models. -- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection. -- Named Entity Recognition Model for Polish Books. -- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard. -- Professionally Diverse: AI-Generated Faces for Targeted Advertising. -- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions. -- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification. -- Computational Intelligence. -- A Novel Dynamic Programming Method for Non-Parametric Data Discretization. -- Framework to Merge Possibilistic Belief Bases. -- Game-theory Based Voting Schemas for Ensemble of Classifiers. -- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions. -- Predicting Epidemic Outbreak using Climatic factors. -- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method. -- Masked Face-Landmark Prediction with Mask-Coefficient. -- Federated Erasable-itemset Mining with Quasi-erasable Itemsets. -- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm. -- Advanced Data Analysis Methods. -- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data. -- Energy Measurement System for Data Lake: An Initial Approach. -- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction. -- Stochastic approaches for criteria weight identification in multi-criteria decision analysis. -- Exploring Data Preparation Modules by Examples. -- A novel approach to the use of explainability to mine network intrusion detection rules`. -- AI-driven Cybersecurity And Medical Solutions. -- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification. -- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis. -- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques. -- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine. -- Application of Generative Models. -- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection. -- Named Entity Recognition Model for Polish Books. -- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard. -- Professionally Diverse: AI-Generated Faces for Targeted Advertising. -- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions. -- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification. -- Computational Intelligence. -- A Novel Dynamic Programming Method for Non-Parametric Data Discretization. -- Framework to Merge Possibilistic Belief Bases. -- Game-theory Based Voting Schemas for Ensemble of Classifiers. -- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions. -- Predicting Epidemic Outbreak using Climatic factors. -- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method. -- Masked Face-Landmark Prediction with Mask-Coefficient. -- Federated Erasable-itemset Mining with Quasi-erasable Itemsets. -- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm.
Record Nr. UNINA-9910874691003321
Nguyen Ngoc Thanh  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
Recent challenges in intelligent information and database systems : 13th Asian conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings / / Tzung-Pei Hong [and three others], editors
Recent challenges in intelligent information and database systems : 13th Asian conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings / / Tzung-Pei Hong [and three others], editors
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (xxviii, 42 pages) : illustrations
Disciplina 001.535
Collana Communications in computer and information science
Soggetto topico Artificial intelligence
Database management
ISBN 981-16-1685-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Conference Organization -- Contents -- Data Mining and Machine Learning Methods -- CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics -- 1 Introduction -- 2 Background -- 2.1 Luria's Alternating Series Tests -- 3 Problem Statement -- 4 Experimental Setting -- 4.1 Tested Subjects -- 4.2 Data Acquisition -- 5 Proposed Workflow and Methods -- 5.1 Enhancement and Augmentation -- 5.2 Workflow of CNN Training Testing and Validation -- 6 Main Results -- 7 Discussion -- 8 Conclusions -- References -- Examination of Water Temperature Accuracy Improvement Method for Forecast -- 1 Introduction -- 2 Background -- 2.1 Importance of Water Temperature -- 2.2 Proposed System -- 2.3 Water Temperature Observation Device -- 2.4 Seawater Temperature Announcement System -- 2.5 Purpose -- 3 Seawater Temperature Prediction -- 3.1 Issues -- 3.2 Detection and Removement of Outliers -- 3.3 Improvement of Interpolation Accuracy -- 4 Evaluation of Proposed Method 1 -- 4.1 Evaluation Method -- 5 Future Works -- 5.1 Outlier Detection and Removement Method -- 5.2 Improvement of Interpolation Accuracy -- References -- Assembly Process Modeling Through Long Short-Term Memory -- 1 Introduction -- 2 Related Work -- 3 Next Assembly Step Prediction Through LSTM -- 4 Experimental Results -- 5 Conclusions and Further Work -- References -- CampusMaps: Voice Assisted Navigation Using Alexa Skills -- 1 Introduction -- 2 Background and Terminology -- 2.1 Voice Assistants -- 2.2 Navigation Systems -- 2.3 Terminology -- 3 Proposed System: CampusMaps -- 3.1 Architecture -- 3.2 Modelling Maps -- 3.3 Routing -- 3.4 Alexa Skill Development -- 4 Advantages and Challenges -- 4.1 Advantages -- 4.2 Challenges -- 5 Results -- 5.1 Alpha Tests -- 5.2 Beta Tests -- 6 Conclusion and Future Scope -- References.
Advanced Data Mining Techniques and Applications -- Solving Reduction Problems in Cover Lattice Based Decision Tables -- 1 Introduction -- 2 Covering Based Decision Tables -- 2.1 Covering Based Rough Sets and Covering Decision Systems -- 2.2 Cover Lattice Based Decision Table -- 2.3 An Example: Cover Lattice Based Decision Tables in Transaction Databases -- 3 The Reduction of the Condition Lattice and the Fitting of the Decision Lattice -- 3.1 Reduction in Cover Lattice Based Decision Tables -- 3.2 Decision Fitting in the Cover Lattice Based Decision Table -- 3.3 A Typical Application of Cover Lattice Based Rough Set -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Forecasting System for Solar-Power Generation -- 1 Introduction -- 2 Literature Review -- 2.1 Solar-Power Generation and Prediction -- 2.2 Machine Learning Algorithms -- 3 Proposed Prediction Models -- 4 Experimental Results -- 4.1 Data Usage -- 4.2 Solar Radiation Prediction -- 5 Conclusions -- References -- A Recommender System for Insurance Packages Based on Item-Attribute-Value Prediction -- 1 Introduction -- 2 Preparation Steps -- 2.1 Background Knowledge -- 2.2 Data Preparation -- 2.3 A Review of Techniques -- 3 INSUREX Approach -- 3.1 Overall Flow -- 3.2 Item-Attribute-Value Prediction -- 3.3 Recommendation Model -- 3.4 Evaluation Method -- 4 Result and Evaluation -- 4.1 Analytical Results -- 4.2 Proof-of-Concept (POC) Application -- 4.3 Discussion -- 5 Conclusion -- References -- Application of Recommendation Systems Based on Deep Learning -- 1 Introduction -- 2 Deep Learning -- 2.1 Autoencoder -- 2.2 Restricted Boltzmann Machine -- 2.3 Deep Belief Network -- 2.4 Convolutional Neural Network -- 2.5 Recurrent Neural Network -- 3 Application of Deep Learning in Content-Based Recommendation System -- 3.1 Method Based on Multilayer Perceptron.
3.2 Method Based on Convolutional Neural Network -- 3.3 Methods Based on Other Deep Learning Models -- 4 Application of Deep Learning in Collaborative Filtering Recommendation System -- 4.1 Collaborative Filtering Based on Restricted Boltzmann Machine -- 4.2 Collaborative Filtering Based on Autoencoder -- 4.3 Collaborative Filtering Based on Convolutional Neural Network -- 4.4 Collaborative Filtering Based on Recurrent Neural Network -- 4.5 Collaborative Filtering Based on Other Deep Learning Models -- 5 Application of Deep Learning in Hybrid Recommendation System -- 5.1 Hybrid Recommendation Method Based on Autoencoder -- 5.2 Hybrid Recommendation Method Based on Other Deep Learning Models -- 6 Conclusion -- References -- Data Reduction with Distance Correlation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Analysis -- 4.1 Analysis -- 5 Conclusion -- References -- Intelligent and Contextual Systems -- A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Principal Component Analysis for Dimension Reduction -- 2.3 Synthetic Minority Oversampling Technique -- 2.4 Classification Algorithms -- 3 Experiment and Result -- 4 Conclusion -- References -- Design of Text and Voice Machine Translation Tool for Presentations -- 1 Introduction -- 2 Background and Related Work -- 2.1 Sequence to Sequence Model -- 2.2 Speech Recognition -- 2.3 Machine Translate -- 2.4 Text to Speech -- 3 System Description -- 3.1 Speech Recognition -- 3.2 Machine Translation -- 3.3 Text to Speech -- 4 Experiments and Results -- 4.1 Vietnamese-English Translation -- 4.2 English-Vietnamese Translation -- 5 Conclusion -- References -- Hybrid Approach for the Semantic Analysis of Texts in the Kazakh Language -- 1 Introduction -- 2 Related Works.
3 A Semantic Analysis Based an Algorithm for Extracting Annotation and Keywords -- 4 Application of Approaches and Experimental Results -- 5 Conclusion and Future Work -- References -- Natural Language Processing -- Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model -- 1 Introduction -- 2 Background -- 2.1 Latent Dirichlet Allocation -- 2.2 Gibbs Sampling for Dirichlet Multinomial Model -- 3 Proposed Model -- 3.1 Generalized Dirichlet Multinomial Mixture Model -- 3.2 Collapsed Gibbs Sampling for Generalized Dirichlet Multinomial Mixture Model -- 4 Experimental Results -- 4.1 Short-Text Datasets and Preprocessing -- 4.2 Evaluation Metrics Used -- 4.3 Comparison of Gibbs Sampling Algorithms -- 4.4 Influence of K -- 4.5 Influence of the Number of Iterations -- 4.6 Performance Given the Parameter -- 5 Conclusion -- References -- Comparative Study of Machine Learning Algorithms for Performant Text Analysis in a Real World System -- 1 Introduction -- 1.1 Motivation -- 2 Problem Statement -- 3 Related Work -- 4 Data Processing -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Word Cloud -- 4.4 Keyword Extraction -- 4.5 Data Mapping and Frequency -- 5 Two-Class Neural Network -- 5.1 Training the Two-Class Neural Network -- 6 Two-Class Averaged Perceptron -- 6.1 Training of Two-Class Averaged Perceptron -- 7 Two-Class Boosted Decision Tree -- 7.1 Training the Two-Class Boosted Decision Tree -- 8 Experimental and Statistical Results -- 8.1 Web Service Deployment and Prediction -- 9 Conclusion and Future Work -- References -- Contour: Penalty and Spotlight Mask for Abstractive Summarization -- 1 Introduction -- 2 Related Work -- 3 Contour: Penalty and Spotlight Mask -- 3.1 Penalty -- 3.2 Spotlight -- 3.3 Contour -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Evaluate Metrics.
4.4 Comparison Basis -- 4.5 Result -- 5 Conclusion -- References -- Heterogeneous Information Access System with a Natural Language Interface in the Context of Organization of Events -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Evaluation -- 4.1 Functional Test -- 4.2 Performance Analysis -- 4.3 Tests Performed and Results Obtained -- 5 Conclusions -- References -- Network Systems and Applications -- Single Failure Recovery in Distributed Social Network -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Proposed Methodology -- 4.1 Framework -- 4.2 Approach for Simulation -- 5 Experimental Study -- 5.1 System Specification -- 5.2 Result -- 6 Conclusion -- References -- Improving Reading Accuracy in Personal Information Distribution Systems Using Smartwatches and Wireless Headphones -- 1 Introduction -- 2 Research Backgrounds -- 2.1 Spread of the Internet -- 2.2 Personalized Information Distribution System PINOT -- 2.3 Smartphone Penetration -- 2.4 Smartphone Version PINOT -- 2.5 Problem of Smartphone Version PINOT -- 2.6 Widespread Use of Smartwatches -- 2.7 Smartwatch Cooperation PINOT -- 2.8 Problem of Smartwatch Cooperation PINOT -- 3 Proposed System -- 4 Evaluation and Improvement of the Proposed System -- 4.1 Experimental Results and Discussion -- 4.2 Improvement of Misreadings -- References -- Cyber Security Aspects of Digital Services Using IoT Appliances -- 1 Introduction -- 2 Security Threats to Communication Networks -- 2.1 Botnets and Ransomware -- 2.2 Threats to Applications of IoT -- 3 Security Aspects of Customer Premises Network -- 3.1 Communication Protocols' Aspects -- 3.2 Modeling of Threats and Incidents -- 4 Security Testing and Validation -- 4.1 Testing Environment -- 4.2 Blockchain Database in a Sample IoT Application -- 5 Concluding Remarks -- References -- Computational Imaging and Vision.
Simple Methodology for Eye Gaze Direction Estimation.
Altri titoli varianti ACIIDS 2021
Record Nr. UNISA-996464399303316
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Recent challenges in intelligent information and database systems : 13th Asian conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings / / Tzung-Pei Hong [and three others], editors
Recent challenges in intelligent information and database systems : 13th Asian conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings / / Tzung-Pei Hong [and three others], editors
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (xxviii, 42 pages) : illustrations
Disciplina 001.535
Collana Communications in computer and information science
Soggetto topico Artificial intelligence
Database management
ISBN 981-16-1685-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Conference Organization -- Contents -- Data Mining and Machine Learning Methods -- CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics -- 1 Introduction -- 2 Background -- 2.1 Luria's Alternating Series Tests -- 3 Problem Statement -- 4 Experimental Setting -- 4.1 Tested Subjects -- 4.2 Data Acquisition -- 5 Proposed Workflow and Methods -- 5.1 Enhancement and Augmentation -- 5.2 Workflow of CNN Training Testing and Validation -- 6 Main Results -- 7 Discussion -- 8 Conclusions -- References -- Examination of Water Temperature Accuracy Improvement Method for Forecast -- 1 Introduction -- 2 Background -- 2.1 Importance of Water Temperature -- 2.2 Proposed System -- 2.3 Water Temperature Observation Device -- 2.4 Seawater Temperature Announcement System -- 2.5 Purpose -- 3 Seawater Temperature Prediction -- 3.1 Issues -- 3.2 Detection and Removement of Outliers -- 3.3 Improvement of Interpolation Accuracy -- 4 Evaluation of Proposed Method 1 -- 4.1 Evaluation Method -- 5 Future Works -- 5.1 Outlier Detection and Removement Method -- 5.2 Improvement of Interpolation Accuracy -- References -- Assembly Process Modeling Through Long Short-Term Memory -- 1 Introduction -- 2 Related Work -- 3 Next Assembly Step Prediction Through LSTM -- 4 Experimental Results -- 5 Conclusions and Further Work -- References -- CampusMaps: Voice Assisted Navigation Using Alexa Skills -- 1 Introduction -- 2 Background and Terminology -- 2.1 Voice Assistants -- 2.2 Navigation Systems -- 2.3 Terminology -- 3 Proposed System: CampusMaps -- 3.1 Architecture -- 3.2 Modelling Maps -- 3.3 Routing -- 3.4 Alexa Skill Development -- 4 Advantages and Challenges -- 4.1 Advantages -- 4.2 Challenges -- 5 Results -- 5.1 Alpha Tests -- 5.2 Beta Tests -- 6 Conclusion and Future Scope -- References.
Advanced Data Mining Techniques and Applications -- Solving Reduction Problems in Cover Lattice Based Decision Tables -- 1 Introduction -- 2 Covering Based Decision Tables -- 2.1 Covering Based Rough Sets and Covering Decision Systems -- 2.2 Cover Lattice Based Decision Table -- 2.3 An Example: Cover Lattice Based Decision Tables in Transaction Databases -- 3 The Reduction of the Condition Lattice and the Fitting of the Decision Lattice -- 3.1 Reduction in Cover Lattice Based Decision Tables -- 3.2 Decision Fitting in the Cover Lattice Based Decision Table -- 3.3 A Typical Application of Cover Lattice Based Rough Set -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Forecasting System for Solar-Power Generation -- 1 Introduction -- 2 Literature Review -- 2.1 Solar-Power Generation and Prediction -- 2.2 Machine Learning Algorithms -- 3 Proposed Prediction Models -- 4 Experimental Results -- 4.1 Data Usage -- 4.2 Solar Radiation Prediction -- 5 Conclusions -- References -- A Recommender System for Insurance Packages Based on Item-Attribute-Value Prediction -- 1 Introduction -- 2 Preparation Steps -- 2.1 Background Knowledge -- 2.2 Data Preparation -- 2.3 A Review of Techniques -- 3 INSUREX Approach -- 3.1 Overall Flow -- 3.2 Item-Attribute-Value Prediction -- 3.3 Recommendation Model -- 3.4 Evaluation Method -- 4 Result and Evaluation -- 4.1 Analytical Results -- 4.2 Proof-of-Concept (POC) Application -- 4.3 Discussion -- 5 Conclusion -- References -- Application of Recommendation Systems Based on Deep Learning -- 1 Introduction -- 2 Deep Learning -- 2.1 Autoencoder -- 2.2 Restricted Boltzmann Machine -- 2.3 Deep Belief Network -- 2.4 Convolutional Neural Network -- 2.5 Recurrent Neural Network -- 3 Application of Deep Learning in Content-Based Recommendation System -- 3.1 Method Based on Multilayer Perceptron.
3.2 Method Based on Convolutional Neural Network -- 3.3 Methods Based on Other Deep Learning Models -- 4 Application of Deep Learning in Collaborative Filtering Recommendation System -- 4.1 Collaborative Filtering Based on Restricted Boltzmann Machine -- 4.2 Collaborative Filtering Based on Autoencoder -- 4.3 Collaborative Filtering Based on Convolutional Neural Network -- 4.4 Collaborative Filtering Based on Recurrent Neural Network -- 4.5 Collaborative Filtering Based on Other Deep Learning Models -- 5 Application of Deep Learning in Hybrid Recommendation System -- 5.1 Hybrid Recommendation Method Based on Autoencoder -- 5.2 Hybrid Recommendation Method Based on Other Deep Learning Models -- 6 Conclusion -- References -- Data Reduction with Distance Correlation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Analysis -- 4.1 Analysis -- 5 Conclusion -- References -- Intelligent and Contextual Systems -- A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Principal Component Analysis for Dimension Reduction -- 2.3 Synthetic Minority Oversampling Technique -- 2.4 Classification Algorithms -- 3 Experiment and Result -- 4 Conclusion -- References -- Design of Text and Voice Machine Translation Tool for Presentations -- 1 Introduction -- 2 Background and Related Work -- 2.1 Sequence to Sequence Model -- 2.2 Speech Recognition -- 2.3 Machine Translate -- 2.4 Text to Speech -- 3 System Description -- 3.1 Speech Recognition -- 3.2 Machine Translation -- 3.3 Text to Speech -- 4 Experiments and Results -- 4.1 Vietnamese-English Translation -- 4.2 English-Vietnamese Translation -- 5 Conclusion -- References -- Hybrid Approach for the Semantic Analysis of Texts in the Kazakh Language -- 1 Introduction -- 2 Related Works.
3 A Semantic Analysis Based an Algorithm for Extracting Annotation and Keywords -- 4 Application of Approaches and Experimental Results -- 5 Conclusion and Future Work -- References -- Natural Language Processing -- Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model -- 1 Introduction -- 2 Background -- 2.1 Latent Dirichlet Allocation -- 2.2 Gibbs Sampling for Dirichlet Multinomial Model -- 3 Proposed Model -- 3.1 Generalized Dirichlet Multinomial Mixture Model -- 3.2 Collapsed Gibbs Sampling for Generalized Dirichlet Multinomial Mixture Model -- 4 Experimental Results -- 4.1 Short-Text Datasets and Preprocessing -- 4.2 Evaluation Metrics Used -- 4.3 Comparison of Gibbs Sampling Algorithms -- 4.4 Influence of K -- 4.5 Influence of the Number of Iterations -- 4.6 Performance Given the Parameter -- 5 Conclusion -- References -- Comparative Study of Machine Learning Algorithms for Performant Text Analysis in a Real World System -- 1 Introduction -- 1.1 Motivation -- 2 Problem Statement -- 3 Related Work -- 4 Data Processing -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Word Cloud -- 4.4 Keyword Extraction -- 4.5 Data Mapping and Frequency -- 5 Two-Class Neural Network -- 5.1 Training the Two-Class Neural Network -- 6 Two-Class Averaged Perceptron -- 6.1 Training of Two-Class Averaged Perceptron -- 7 Two-Class Boosted Decision Tree -- 7.1 Training the Two-Class Boosted Decision Tree -- 8 Experimental and Statistical Results -- 8.1 Web Service Deployment and Prediction -- 9 Conclusion and Future Work -- References -- Contour: Penalty and Spotlight Mask for Abstractive Summarization -- 1 Introduction -- 2 Related Work -- 3 Contour: Penalty and Spotlight Mask -- 3.1 Penalty -- 3.2 Spotlight -- 3.3 Contour -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Evaluate Metrics.
4.4 Comparison Basis -- 4.5 Result -- 5 Conclusion -- References -- Heterogeneous Information Access System with a Natural Language Interface in the Context of Organization of Events -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Evaluation -- 4.1 Functional Test -- 4.2 Performance Analysis -- 4.3 Tests Performed and Results Obtained -- 5 Conclusions -- References -- Network Systems and Applications -- Single Failure Recovery in Distributed Social Network -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Proposed Methodology -- 4.1 Framework -- 4.2 Approach for Simulation -- 5 Experimental Study -- 5.1 System Specification -- 5.2 Result -- 6 Conclusion -- References -- Improving Reading Accuracy in Personal Information Distribution Systems Using Smartwatches and Wireless Headphones -- 1 Introduction -- 2 Research Backgrounds -- 2.1 Spread of the Internet -- 2.2 Personalized Information Distribution System PINOT -- 2.3 Smartphone Penetration -- 2.4 Smartphone Version PINOT -- 2.5 Problem of Smartphone Version PINOT -- 2.6 Widespread Use of Smartwatches -- 2.7 Smartwatch Cooperation PINOT -- 2.8 Problem of Smartwatch Cooperation PINOT -- 3 Proposed System -- 4 Evaluation and Improvement of the Proposed System -- 4.1 Experimental Results and Discussion -- 4.2 Improvement of Misreadings -- References -- Cyber Security Aspects of Digital Services Using IoT Appliances -- 1 Introduction -- 2 Security Threats to Communication Networks -- 2.1 Botnets and Ransomware -- 2.2 Threats to Applications of IoT -- 3 Security Aspects of Customer Premises Network -- 3.1 Communication Protocols' Aspects -- 3.2 Modeling of Threats and Incidents -- 4 Security Testing and Validation -- 4.1 Testing Environment -- 4.2 Blockchain Database in a Sample IoT Application -- 5 Concluding Remarks -- References -- Computational Imaging and Vision.
Simple Methodology for Eye Gaze Direction Estimation.
Altri titoli varianti ACIIDS 2021
Record Nr. UNINA-9910483732903321
Singapore : , : Springer, , [2021]
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