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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
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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 | ||
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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 | ||
|
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] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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