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Distributed Computing and Artificial Intelligence, 20th International Conference / / edited by Sascha Ossowski, Pawel Sitek, Cesar Analide, Goreti Marreiros, Pablo Chamoso, Sara Rodríguez
| Distributed Computing and Artificial Intelligence, 20th International Conference / / edited by Sascha Ossowski, Pawel Sitek, Cesar Analide, Goreti Marreiros, Pablo Chamoso, Sara Rodríguez |
| Autore | Ossowski Sascha |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (387 pages) |
| Disciplina | 004.36 |
| Altri autori (Persone) |
SitekPawel
AnalideCesar MarreirosGoreti ChamosoPablo RodríguezSara |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-38333-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Time-Series Modeling for Intrusion Detection Systems -- Estimation of occlusion region using image completion by network model consisting of Transformer and U-Net -- Operation of a Genetic Algorithm Using an Adjustment Function -- CUBA: An Evolutionary Consortium Oriented Distributed Ledger Byzantine Consensus Algorithm -- From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities -- Adaptive Learning from Peers for Distributed Actor-Critic Algorithms -- Detection of infostealer variants through graph neural networks. |
| Record Nr. | UNINA-9910735783303321 |
Ossowski Sascha
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| 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
| 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
| 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 | ||
| ||