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Advances in Information Systems, Artificial Intelligence and Knowledge Management : 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig
Advances in Information Systems, Artificial Intelligence and Knowledge Management : 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig
Autore Saad Inès
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (352 pages)
Disciplina 005.3
Altri autori (Persone) Rosenthal-SabrouxCamille
GargouriFaiez
ChakharSalem
WilliamsNigel
HaigElla
Collana Lecture Notes in Business Information Processing
Soggetto topico Application software
Expert systems (Computer science)
Machine learning
Computer and Information Systems Applications
Knowledge Based Systems
Machine Learning
ISBN 3-031-51664-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Decision Making, Recommender Systems, and Information Support Systems -- Models-simulators in business decision-making processes for pharmaceutical enterprises -- Decision and Information Support System to implement the Framework of Twelve steps for building decision models -- Graph Representation Learning for Recommendation Systems: A short review -- FITradeoff Decision Support System applied to solve a Supplier Selection Problem -- A Step-by-Step Decision Process to Support Application Migration to the Cloud-Native Architecture -- Information Systems and Machine Learning -- ACTIVE SMOTE for Imbalanced Medical Data Classification -- Evolutionary Graph-Clustering vs Evolutionary Cluster-Detection Approaches for Community Identification in PPI Networks -- Predictive monitoring of business process execution delays -- An accurate Random Forest-based Action Recognition Technique using only velocity and landmarks’ distances -- Efficient topic Detection using an Adaptive Neural Network architecture -- Exploiting Machine Learning Technique for attack detection in Intrusion Detection System (IDS) based on Protocol -- Robust Aggregation Function in Federated Learning -- Knowledge Management, Context and Ontology -- Should I Share or Should I Go? A Study of Tacit Knowledge Sharing Behaviors in Extended Enterprises -- Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain -- Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL Environment -- A Model Driven Architecture approach for implementing sensitive business processes -- Extension of the functional dimension of BPMN based on MDA approach for sensitive business processes execution -- Inclusive Mobile Health System for Yoruba Race in Nigeria -- Cybersecurity and Intelligent Systems -- Epistemology for Cyber Security: A Controlled Natural Language Approach -- Application of fuzzy decision support systems in IT industry functioning -- Moving towards explainable AI using Fuzzy Networks in decision making process -- Natural Language Processing for Decision Systems -- Sentiment Analysis: Effect of Combining BERT as an Embedding Technique with CNN Model for Tunisian Dialect -- An Enhanced Machine Learning-Based Analysis of Teaching and Learning Process for Higher Education System -- Topic Modelling of Legal Texts using bidirectional encoder representations from Sentence Transformers.
Record Nr. UNINA-9910805579703321
Saad Inès  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Model and Data Engineering in the Digitalization Era : MEDI 2023 Short and Workshop Papers, Sousse, Tunisia, November 2–4, 2023, Proceedings / / edited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri, Chirine Ghedira Guegan, Hassan Badir, Amin Beheshti, Mohamed Mohsen Gammoudi
Advances in Model and Data Engineering in the Digitalization Era : MEDI 2023 Short and Workshop Papers, Sousse, Tunisia, November 2–4, 2023, Proceedings / / edited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri, Chirine Ghedira Guegan, Hassan Badir, Amin Beheshti, Mohamed Mohsen Gammoudi
Autore Mosbah Mohamed
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (255 pages)
Disciplina 005.1
Altri autori (Persone) KechadiTahar
BellatrecheLadjel
GargouriFaiez
GueganChirine Ghedira
BadirHassan
BeheshtiAmin
GammoudiMohamed Mohsen
Collana Communications in Computer and Information Science
Soggetto topico Software engineering
Application software
Artificial intelligence
Computer engineering
Computer networks
Operating systems (Computers)
Data structures (Computer science)
Information theory
Software Engineering
Computer and Information Systems Applications
Artificial Intelligence
Computer Engineering and Networks
Operating Systems
Data Structures and Information Theory
ISBN 3-031-55729-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning and Optimization -- Scoring Unstructured Data from Online Social Network for Homeland Security Applications -- A Comparative Analysis of Time Series Transformers and Alternative Deep Learning Models for SSVEP Classification -- MixUp Data Augmentation for Handwritten Arabic Mathematical Symbols Recognition -- Natural Language Processing -- Towards an Open Domain Arabic Question Answering System: Assessment of the Bert Approach -- Multi-lingual scene text detection containing the Arabic scripts using an optimal then enhanced YOLO model -- Transfer Learning Model for Cyberbullying Detection in Tunisian Social Networks -- Modeling and Data Management -- Node2Vec stability: preliminary study to ensure the compatibility of embeddings with incremental data alignment -- Towards Enabling Domain-Specific Modeling Language Exchange between Modeling Tools -- Healthcare Applications -- The Power of Prognosis: Cox Model Prediction of Disease-Free Survival in Colon Cancer -- Transfer Learning in Segmenting Myocardium Perfusion Images -- Smart Saliency Detection For Prosthetic Vision -- Automatic Detection of Multiple Sclerosis Using Genomic Expression -- DEITS Worshop: Data Engineering in IoT Systems -- Distributed and Collaborative Learning Approach for Stroke Prediction -- IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Techniques -- How Does Blockchain Enhance Zero Trust Security in IoMT -- HIPAA and GDPR compliance in IoT healthcare systems -- A Secure IoT Architecture for Industry 4.0 -- From functional requirements to NoSQL database models: application to IoT Geospatial Data -- A survey on intrusion detection systems for IoT networks based on long short-term memory.
Record Nr. UNINA-9910845481503321
Mosbah Mohamed  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings
Autore Saad Inès
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (190 pages)
Altri autori (Persone) Rosenthal-SabrouxCamille
GargouriFaiez
ArduinPierre-Emmanuel
Collana Lecture Notes in Business Information Processing
ISBN 3-030-85977-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464382403316
Saad Inès  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings
Autore Saad Inès
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (190 pages)
Altri autori (Persone) Rosenthal-SabrouxCamille
GargouriFaiez
ArduinPierre-Emmanuel
Collana Lecture Notes in Business Information Processing
ISBN 3-030-85977-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910495248703321
Saad Inès  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri
Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014
Descrizione fisica 1 online resource (326 p.)
Disciplina 658.4038011
Collana Cognitive Science and Knowledge Management Series
Soggetto topico Information resources management
Knowledge management
Information technology - Management
ISBN 1-118-92066-X
1-118-92061-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Contents; Chapter 1. Assessing the Community Maturity from a Knowledge Management Perspective; 1.1. Introduction; 1.2. Background; 1.2.1. Maturity models; 1.2.2. Knowledge-oriented maturity models; 1.3. Method; 1.4. The CoMM; 1.4.1. The development; 1.4.2. The description; 1.5. Application within a CKO professional association; 1.5.1. Overview of need; 1.5.2. Field application steps; 1.5.3. Findings; 1.5.4. Reflection on the field application of CoMM; 1.6. Discussion and implications; 1.7. Conclusion; 1.8. Bibliography; 1.9. Appendix
Chapter 2 Social Networks: Leveraging User Social Data to Empower Collective Intelligence2.1. Introduction; 2.2. Collective intelligence by user-centered social network aggregation; 2.3. Related works; 2.4. Proposed system; 2.4.1. User-centered social network aggregation; 2.4.2. Personalized information filtering; 2.4.3. Collaborative knowledge management; 2.5. Decision support; 2.6. Use scenario; 2.7. Prototype; 2.8. Conclusions and future work; 2.9. Acknowledgments; 2.10. Bibliography; Chapter 3 Sociocultural Knowledge Management toward the Adaptation of a CSCL Environment
3.1. Introduction3.2. The concept of culture and sociocultural factors; 3.2.1. Culture in ethnology; 3.2.2. Culture in psychology; 3.2.3. Cultural properties; 3.2.4. Models of national culture; 3.2.5. Discussion; 3.3. The relation between sociocultural human characteristics, KM and CSCL; 3.3.1. CSCL and knowledge sharing; 3.3.2. Culture, human mind and KM; 3.3.3. Discussion; 3.4. Sociocultural considerations in collaborative environments; 3.4.1. Study of existing culturally sensitive tools; 3.4.2. Limitations and findings; 3.5. The proposed ontology-based sociocultural user profile
3.6. The conceptual ontology framework based adaptation approach3.7. The sociocultural aware KM system for CSCL; 3.8. Conclusion and ongoing work; 3.9. Bibliography; Chapter 4 An Argumentation-based Rough Set Theory for Knowledge Management; 4.1. Introduction; 4.2. Background; 4.2.1. Dominance-based rough set approach (DRSA); 4.2.2. Argumentation; 4.2.3. Multiagent system; 4.3. Related work; 4.4. Multiagent argumentative approach; 4.4.1. Interaction protocol; 4.4.2. Arguments; 4.4.3. Argument and counter-argument evaluation; 4.4.4. Counter-argument construction; 4.5. Example; 4.6. Conclusion
4.7. BibliographyChapter 5 Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making; 5.1. Introduction; 5.2. Background theory; 5.2.1. A vision of knowledge within the organization; 5.2.2. Ethnographic workplace study: participation as a means to observe; 5.2.3. Incommensurability: when communication breaks down; 5.3. Proposition; 5.3.1. Fieldwork through participant observation; 5.3.2. Highlighting evidences and levels with ISO/IEC 15504; 5.3.3. Rating the attributes and assessing tacit knowledge consideration; 5.4. Case study
5.4.1. Describing the field
Record Nr. UNINA-9910132227703321
London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri
Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014
Descrizione fisica 1 online resource (326 p.)
Disciplina 658.4038011
Collana Cognitive Science and Knowledge Management Series
Soggetto topico Information resources management
Knowledge management
Information technology - Management
ISBN 1-118-92066-X
1-118-92061-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Contents; Chapter 1. Assessing the Community Maturity from a Knowledge Management Perspective; 1.1. Introduction; 1.2. Background; 1.2.1. Maturity models; 1.2.2. Knowledge-oriented maturity models; 1.3. Method; 1.4. The CoMM; 1.4.1. The development; 1.4.2. The description; 1.5. Application within a CKO professional association; 1.5.1. Overview of need; 1.5.2. Field application steps; 1.5.3. Findings; 1.5.4. Reflection on the field application of CoMM; 1.6. Discussion and implications; 1.7. Conclusion; 1.8. Bibliography; 1.9. Appendix
Chapter 2 Social Networks: Leveraging User Social Data to Empower Collective Intelligence2.1. Introduction; 2.2. Collective intelligence by user-centered social network aggregation; 2.3. Related works; 2.4. Proposed system; 2.4.1. User-centered social network aggregation; 2.4.2. Personalized information filtering; 2.4.3. Collaborative knowledge management; 2.5. Decision support; 2.6. Use scenario; 2.7. Prototype; 2.8. Conclusions and future work; 2.9. Acknowledgments; 2.10. Bibliography; Chapter 3 Sociocultural Knowledge Management toward the Adaptation of a CSCL Environment
3.1. Introduction3.2. The concept of culture and sociocultural factors; 3.2.1. Culture in ethnology; 3.2.2. Culture in psychology; 3.2.3. Cultural properties; 3.2.4. Models of national culture; 3.2.5. Discussion; 3.3. The relation between sociocultural human characteristics, KM and CSCL; 3.3.1. CSCL and knowledge sharing; 3.3.2. Culture, human mind and KM; 3.3.3. Discussion; 3.4. Sociocultural considerations in collaborative environments; 3.4.1. Study of existing culturally sensitive tools; 3.4.2. Limitations and findings; 3.5. The proposed ontology-based sociocultural user profile
3.6. The conceptual ontology framework based adaptation approach3.7. The sociocultural aware KM system for CSCL; 3.8. Conclusion and ongoing work; 3.9. Bibliography; Chapter 4 An Argumentation-based Rough Set Theory for Knowledge Management; 4.1. Introduction; 4.2. Background; 4.2.1. Dominance-based rough set approach (DRSA); 4.2.2. Argumentation; 4.2.3. Multiagent system; 4.3. Related work; 4.4. Multiagent argumentative approach; 4.4.1. Interaction protocol; 4.4.2. Arguments; 4.4.3. Argument and counter-argument evaluation; 4.4.4. Counter-argument construction; 4.5. Example; 4.6. Conclusion
4.7. BibliographyChapter 5 Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making; 5.1. Introduction; 5.2. Background theory; 5.2.1. A vision of knowledge within the organization; 5.2.2. Ethnographic workplace study: participation as a means to observe; 5.2.3. Incommensurability: when communication breaks down; 5.3. Proposition; 5.3.1. Fieldwork through participant observation; 5.3.2. Highlighting evidences and levels with ISO/IEC 15504; 5.3.3. Rating the attributes and assessing tacit knowledge consideration; 5.4. Case study
5.4.1. Describing the field
Record Nr. UNINA-9910813705003321
London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Model and Data Engineering [[electronic resource] ] : 12th International Conference, MEDI 2023, Sousse, Tunisia, November 2–4, 2023, Proceedings / / edited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri
Model and Data Engineering [[electronic resource] ] : 12th International Conference, MEDI 2023, Sousse, Tunisia, November 2–4, 2023, Proceedings / / edited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XIII, 396 p. 130 illus., 116 illus. in color.)
Disciplina 005.1
Collana Lecture Notes in Computer Science
Soggetto topico Software engineering
Computer networks
Database management
Data mining
Machine learning
Software Engineering
Computer Communication Networks
Database Management
Data Mining and Knowledge Discovery
Machine Learning
ISBN 3-031-49333-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modelling -- A Comparative Analysis of Time Series Prediction Techniques –A Systematic Literature Review (SLR) -- A Formal Metamodel with Composite Components -- A floating-point numbers theory for Event-B -- Model based testing approach for EIP-1559 Ethereum Smart contracts -- Execution planning in aggregated search in the web of data without using metadata -- Discovering Relationships between Heterogeneous declarative Mappings for RDF Knowledge Graph -- Machine Learning and Optimization -- Exploring Synthetic Noise Algorithms for Real-world Similar Data Generation: A Case Study on Digitally Twining Hybrid Turbo-shaft Engines in UAV/UAS Applications -- Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm -- Data-Driven and Model-Driven Approaches in Predictive Modeling for Operational Efficiency: Use case mining industry -- Approach based on Bayesian network and ontology for identifying factors impacting the states of people with psychological problems from data on social media -- Social recommendation using deep auto-encoder and confidence aware sentiment Analysis -- Deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays -- Ontology and Database Systems -- OntoFD: A Generic Social Media Fake News Ontology -- Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing -- Ontology matching using multi-head attention graph isomorphism network -- Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL Databases -- Fuzzy HealthIoT ontology for comorbidity treatment -- Healthcare Applications -- Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing -- Breast Cancer Detection based DenseNet with Attention model in Mammogram Images -- AI-based Long-term Monitoring System for patients in pandemics: COVID-19 case study -- Cardiovascular Anomaly Detection using Deep Learning Techniques -- Applications and Security -- Real-Time Mitigation of Trust-Related Attacks in Social IoT -- Hybrid Data-driven and Knowledge-based Predictive Maintenance Framework in the Context of Industry 4.0 -- Enhancing Semantic Image Synthesis: A GAN-Based Approach with Multi-Feature Adaptive Denormalization Layer -- Towards an Effective Attribute-based Access Control Model for Neo4j -- GRU-Based Forecasting Model for Energy Production and Consumption: Leveraging Random Forest Feature Importance -- Localizing Non-Functional Code Bugs in User Interfaces using Deep Learning Techniques. .
Record Nr. UNISA-996587869103316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Model and Data Engineering : 12th International Conference, MEDI 2023, Sousse, Tunisia, November 2–4, 2023, Proceedings / / edited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri
Model and Data Engineering : 12th International Conference, MEDI 2023, Sousse, Tunisia, November 2–4, 2023, Proceedings / / edited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XIII, 396 p. 130 illus., 116 illus. in color.)
Disciplina 005.1
Collana Lecture Notes in Computer Science
Soggetto topico Software engineering
Computer networks
Database management
Data mining
Machine learning
Software Engineering
Computer Communication Networks
Database Management
Data Mining and Knowledge Discovery
Machine Learning
ISBN 3-031-49333-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modelling -- A Comparative Analysis of Time Series Prediction Techniques –A Systematic Literature Review (SLR) -- A Formal Metamodel with Composite Components -- A floating-point numbers theory for Event-B -- Model based testing approach for EIP-1559 Ethereum Smart contracts -- Execution planning in aggregated search in the web of data without using metadata -- Discovering Relationships between Heterogeneous declarative Mappings for RDF Knowledge Graph -- Machine Learning and Optimization -- Exploring Synthetic Noise Algorithms for Real-world Similar Data Generation: A Case Study on Digitally Twining Hybrid Turbo-shaft Engines in UAV/UAS Applications -- Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm -- Data-Driven and Model-Driven Approaches in Predictive Modeling for Operational Efficiency: Use case mining industry -- Approach based on Bayesian network and ontology for identifying factorsimpacting the states of people with psychological problems from data on social media -- Social recommendation using deep auto-encoder and confidence aware sentiment Analysis -- Deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays -- Ontology and Database Systems -- OntoFD: A Generic Social Media Fake News Ontology -- Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing -- Ontology matching using multi-head attention graph isomorphism network -- Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL Databases -- Fuzzy HealthIoT ontology for comorbidity treatment -- Healthcare Applications -- Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing -- Breast Cancer Detection based DenseNet with Attention model in Mammogram Images -- AI-based Long-term Monitoring System for patients in pandemics: COVID-19 case study -- Cardiovascular Anomaly Detection using Deep Learning Techniques -- Applications and Security -- Real-Time Mitigation of Trust-Related Attacks in Social IoT -- Hybrid Data-driven and Knowledge-based Predictive Maintenance Framework in the Context of Industry 4.0 -- Enhancing Semantic Image Synthesis: A GAN-Based Approach with Multi-Feature Adaptive Denormalization Layer -- Towards an Effective Attribute-based Access Control Model for Neo4j -- GRU-Based Forecasting Model for Energy Production and Consumption: Leveraging Random Forest Feature Importance -- Localizing Non-Functional Code Bugs in User Interfaces using Deep Learning Techniques. .
Record Nr. UNINA-9910799483803321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui