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Biblioteca

MARC Lista (tabellare)
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
BudayrḤassān
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
Enginyeria de programari
Bases de dades
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031557293
3031557298
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
Opac: Controlla la disponibilità qui
New Technologies, Artificial Intelligence and Smart Data : 10th International Conference, INTIS 2022, Casablanca, Morocco, May 20–21, 2022, and 11th International Conference, INTIS 2023, Tangier, Morocco, May 26–27, 2023, Revised Selected Papers / / edited by Mohamed Tabaa, Hassan Badir, Ladjel Bellatreche, Azedine Boulmakoul, Ahmed Lbath, Fabrice Monteiro
New Technologies, Artificial Intelligence and Smart Data : 10th International Conference, INTIS 2022, Casablanca, Morocco, May 20–21, 2022, and 11th International Conference, INTIS 2023, Tangier, Morocco, May 26–27, 2023, Revised Selected Papers / / edited by Mohamed Tabaa, Hassan Badir, Ladjel Bellatreche, Azedine Boulmakoul, Ahmed Lbath, Fabrice Monteiro
Autore Tabaa Mohamed
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (216 pages)
Disciplina 006.3
Altri autori (Persone) BudayrḤassān
BellatrecheLadjel
BoulmakoulAzedine
LbathAhmed
MonteiroFabrice
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers, Special purpose
Artificial Intelligence
Computer Engineering and Networks
Computer Communication Networks
Special Purpose and Application-Based Systems
ISBN 9783031473661
3031473663
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Artificial Intelligence -- Machine Learning for the Analysis of Human Microbiome in Inflammatory Bowel Diseases: Literature Review -- 1 Introduction -- 2 The Relation Between Inflammatory Bowel Diseases and the Microbiome -- 3 Existing Approaches for Microbiome Analysis -- 4 Machine Learning Techniques for Microbiome Analysis -- 5 Applications of Machine Learning for the Analysis of the Microbiome in Inflammatory Bowel Diseases -- 6 Limitations and Challenges of Using Machine Learning for Microbiome Analysis in IBD -- 7 Conclusion -- References -- Systematic Mapping Study on Applications of Deep Learning in Stock Market Prediction -- 1 Introduction -- 2 Related Works -- 3 Research Method -- 4 Systematic Mapping Results -- 5 Synthesis and Future Works -- 6 Conclusion -- References -- Exploring the Knowledge Distillation -- 1 Introduction -- 2 Related Work -- 3 Methods and Background -- 3.1 Knowledge Distillation -- 3.2 Teacher Assistant Knowledge Distillation -- 3.3 Self-distillation -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Experiment Settings -- 4.3 Evaluation Metric -- 4.4 Performance Evaluation -- 5 Conclusion -- References -- Intelligent Traffic Congestion and Collision Avoidance Using Multi-agent System Based on Reinforcement Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Multi-agent System -- 2.2 Intelligent Traffic Congestion -- 2.3 Collision Avoidance -- 2.4 Reinforcement Learning -- 3 Proposed System -- 3.1 System Architecture -- 3.2 Methodology -- 3.3 Design Objectives -- 3.4 Mathematical Model -- 4 Findings -- 5 Conclusion -- 6 Future Work -- References -- BERT for Arabic NLP Applications: Pretraining and Finetuning MSA and Arabic Dialects -- 1 Introduction -- 2 Word Embeddings and BERT -- 3 The BERT Model: Background -- 3.1 Bert Architecture.
3.2 BERT Pre-training and Fine-Tuning -- 4 BERT for Arabic NLP Applications: Pre-training and Fine-Tuning -- 4.1 Training Datasets -- 4.2 Pre-training BERT Models -- 4.3 Fine-Tuning for Arabic NLP Applications -- 4.4 The Computational Cost -- 5 Results and Discussion -- 6 Conclusion -- References -- VacDist MAS for Covid-19 Vaccination Distribution: Palestine as a Case Study -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The Proposed MAS -- 3.2 System Environments and Their Agents -- 3.3 Data Source -- 3.4 VacDist Framework -- 4 Results -- 4.1 Decision-Making Strategy Results -- 4.2 Machine Learning Distribution Strategy Based Cities Results -- 4.3 Distribution Strategy Based Citizen Results -- 5 Discussion -- 6 Conclusion -- References -- Smart E-Waste Management System Utilizing IoT and DL Approaches -- 1 Introduction -- 2 Related Work -- 3 Object Detection Model -- 3.1 Cloud, Fog, or Local Computing -- 3.2 Choosing a Deep-Learning Framework -- 3.3 Choosing an Architecture for Object Detection -- 3.4 Dataset Collection -- 3.5 Training Phase -- 4 The Proposed System -- 4.1 System Architecture -- 4.2 System Components -- 4.3 System Workflow -- 4.4 Prototype Implementation (Hardware) -- 4.5 System Cost -- 5 Conclusion and Future Work -- References -- Data Technologies -- Towards a Platform for Higher Education in Virtual Reality of Engineering Sciences -- 1 Introduction -- 2 Digital Transformation in Higher Education: State of Art -- 2.1 Virtual Reality -- 2.2 Augmented Reality -- 2.3 Metaverse -- 2.4 Virtual 3D Technologies in STEM Higher Education -- 2.5 Students' Perspectives on Using AR and VR -- 2.6 Teachers' Perspectives on Using AR and VR -- 2.7 Pedagogy of Learning in STEM Higher Education -- 2.8 Supporting Different Resource Types for Learning -- 2.9 WebXR -- 3 Discussion -- 3.1 The Implementation -- 3.2 How It Works.
4 Conclusion -- References -- Robust Intelligent Control for Two Links Robot Based ACO Technique -- 1 Introduction -- 2 Optimal Neural Network Sliding Mode Control Design -- 2.1 Controller Design -- 2.2 Neural Network Representation: -- 2.3 ACO Training Algorithm -- 3 Simulation Results -- 4 Conclusion -- References -- Multimodal Learning for Road Safety Using Vision Transformer ViT -- 1 Introduction -- 2 Litterature Review -- 3 Problem Definition -- 3.1 Vision Transformer (ViT) -- 3.2 Model Architecture -- 4 Model Application: The Identification of High-Risk Areas for Smart Camera Locations -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results -- 5 Conclusion -- References -- Intelligent Multi-agent Distributed System for Improving and Secure Travel Procedures: Al-Karama-King Hussein Bridge Study Case -- 1 Introduction -- 2 System Architecture -- 3 Logical Data Structure -- 4 IRMADS as Distributed System -- 4.1 Scalability -- 4.2 Openness -- 4.3 Resource Sharing -- 5 IRMADS Database Based on Blockchain Data Architecture -- 6 State Diagram Distribution for IRMADS -- 7 Agent-Based and Discrete Event Simulation for IRMADS -- 7.1 Agent and Traveler Data Structure -- 7.2 Simulation Work Flow -- 7.3 Simulation Results and Analysis -- 8 Conclusion -- References -- A New Approach for the Analysis of Resistance to Change in the Digital Transformation Context -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Proposed Approach -- 5 Illustrative Example -- 6 Results and Discussion -- 7 Conclusion -- References -- Augmented Data Warehouses for Value Capture -- 1 Introduction -- 2 Related Work -- 3 Motivating Example -- 4 DW Augmentation for Value Capture -- 4.1 GO Augmented-DW -- 4.2 On-Demand DW Augmentation -- 4.3 Value Metrics for DW Augmentation -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Obtained Results -- 6 Conclusion -- References.
A Parallel Processing Architecture for Querying Distributed and Heterogeneous Data Sources -- 1 Introduction -- 2 Related Work -- 3 A Parallel Processing Architecture for Aggregated Search in the Web of Data -- 4 Querying Heterogeneous Sources with Our Search Engine -- 5 Demonstration and Results -- 5.1 Data Sources and the Query -- 5.2 Execution Results -- 6 Conclusion -- References -- Comprehensive Data Life Cycle Security in Cloud Computing: Current Mastery and Major Challenges -- 1 Introduction -- 2 Data Life Cycle -- 3 Literature Review -- 3.1 Secure Data Creation -- 3.2 Ensuring Secure Data Exchange -- 3.3 Secure Data Deletion -- 4 Research Gap in Data Life Cycle -- 5 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910765491003321
Tabaa Mohamed  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui