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13th International Conference on Information Systems and Advanced Technologies ICISAT 2023 : New Trends in Artificial Intelligence, Computing and Decision Making. Volume 1
| 13th International Conference on Information Systems and Advanced Technologies ICISAT 2023 : New Trends in Artificial Intelligence, Computing and Decision Making. Volume 1 |
| Autore | Laouar Mohamed Ridda |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (252 pages) |
| Altri autori (Persone) |
BalasValentina Emilia
PiuriVincenzo RadDana Touati HamadZineb CheddadAbbas |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9783031605918
9783031605901 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910882892303321 |
Laouar Mohamed Ridda
|
||
| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023” : New Trends in Artificial Intelligence, Computing and Decision Making. Volume 2 / / edited by Mohamed Ridda Laouar, Valentina Emilia Balas, Vincenzo Piuri, Dana Rad, Zineb Touati Hamad, Abbas Cheddad
| 13th International Conference on Information Systems and Advanced Technologies “ICISAT 2023” : New Trends in Artificial Intelligence, Computing and Decision Making. Volume 2 / / edited by Mohamed Ridda Laouar, Valentina Emilia Balas, Vincenzo Piuri, Dana Rad, Zineb Touati Hamad, Abbas Cheddad |
| Autore | Laouar Mohamed Ridda |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (203 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BalasValentina Emilia
PiuriVincenzo RadDana Touati HamadZineb CheddadAbbas |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Computational Intelligence Data Engineering |
| ISBN | 3-031-60594-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Perspectives of TinyML-Based Self-management in IoT-Based Systems -- 1 Introduction -- 2 Background Information -- 2.1 Self-management -- 2.2 IoT-Based Systems -- 3 Self-management Issues in IoT-Based Systems -- 3.1 Increasing Complexity of IoT Software Systems -- 3.2 Challenges Specific to Self-management of IoT-Based Systems -- 4 Needs and Requirements for an Effective Self-management Solution -- 5 TinyML -- 5.1 Definition -- 5.2 Fundamental Principles of TinyML -- 6 TinyML-Based Self-management for IoT-Based Systems -- 6.1 Motivations -- 6.2 Current Limitations -- 7 Future Prospects and Opportunities -- 7.1 Evolution of TinyML and Related Techniques -- 7.2 Integrating TinyML into Existing IoT Management Architectures -- 7.3 Practical Implications and Potential Applications -- 8 Conclusion -- References -- Blockchain Technology for Absence Tracking -- 1 Introduction and Related Works -- 2 Preliminaries -- 2.1 Principale of Blockchain Technology -- 2.2 Smart Contracts -- 2.3 Transaction -- 2.4 Wallet -- 3 Our Approach -- 3.1 Global Architecture of Our System -- 4 Experimentation -- 5 Discussion -- 6 Conclusion -- References -- Deep Neural Network Binary Classification for Malware Detection: A Parametric Study -- 1 Introduction -- 2 Malware Detection Techniques -- 3 State of the Art -- 4 Datasets -- 5 Used Deep Learning Architecture -- 6 Results and Discussion -- 7 Conclusion and Perspectives -- References -- An Overview of Formal Verification of Network-on-Chip (NoC) Methods -- 1 Introduction -- 2 Network on Chip Architecture -- 3 Network on Chip and Formal Verification -- 4 Related Works -- 5 Conclusion -- References -- Image Classification Using a Deep Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experimental Results -- 5 Conclusion -- References.
Handwriting Recognition Using HOG and Gabor Features -- 1 Introduction -- 2 Related Works -- 3 Proposed Methods -- 4 Experimental Results -- 5 Conclusions -- References -- Application of Faster-RCNN with Detectron2 for Effective Breast Tumor Detection in Mammography -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Data Preparation and Augmentation -- 3.2 Detection Model -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Dataset Preprocessing -- 4.3 Evaluation and Performance -- 4.4 Our Model -- 4.5 Results and Discussion -- 5 Conclusion -- References -- Explaining Machine Learning Based Speed Anomaly Detection System Using eXplainable Artificial Intelligence -- 1 Introduction -- 2 Related Literature Review -- 3 The Proposed Method -- 3.1 The System Model -- 3.2 Dataset Description -- 3.3 The Methodology -- 4 Results and Discussion -- 4.1 Comparisons Between Classifiers -- 4.2 Comparison with Recent Works in the Literature -- 4.3 Explanation -- 5 Conclusion and Future Work -- References -- Enhanced CNN Architecture with Comprehensive Performance Metrics for Emotion Recognition -- 1 Introduction -- 2 Literature Survey -- 2.1 CNN Approach for Emotion Recognition via EEG -- 2.2 Real-Time Evaluation Algorithm for Noncontact Heart Rate Variability Monitoring -- 2.3 System of Emotion Recognition and Judgment and Its Application in Adaptive Interactive Game -- 2.4 Dual-Branch Dynamic Graph Convolution Based Adaptive Transformer Feature Fusion Network for EEG Emotion Recognition -- 2.5 Adaptive Gamification in Science Education -- 3 Problem Statement -- 4 Proposed Methodology -- 5 Result -- 6 Conclusion -- References -- Pelican Search Optimization for MANETs Routing -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach AODVPE -- 3.1 Source of Inspiration -- 4 Implementation and Experimental Results -- 4.1 Implementation Details. 4.2 Results and Discussion -- 5 Discussion -- 6 Conclusion -- References -- Detection of Obstructive Sleep Apnea Based on Deep Learning Models from ECG Signals: A Review -- 1 Introduction -- 2 Methodology -- 2.1 Datasets -- 2.2 Preprocessing and Segmentation -- 2.3 Deep Learning Architectures -- 2.4 Performance Metrics -- 3 Deep Learning Techniques for OSA Detection -- 4 Discussion -- 5 Conclusion -- References -- MPPT Controller Based on Adaptive Pid Based on Programmed Gains for Maximum Power Point Tracking in a Photovoltaic Power Plant with a Battery Load -- 1 Introduction -- 2 General Diagram of the PV System -- 3 General Diagram of the PV System -- 3.1 Mathematical Model -- 4 Simulink Library Model -- 4.1 Design of DC/DC Step-Down Converter (Buck) -- 4.2 Adaptive PID Controller with Programmed Gains -- 5 Controller Performance Indexes -- 5.1 PV Module Validation -- 6 Results -- 7 Conclusions -- References -- Optimal Reconfiguration of Electric Power Distribution Networks -- 1 Introduction -- 2 Methodology -- 2.1 Distribution Network Reconfiguration Model -- 2.2 Methodology for Optimal Distribution Network Reconfiguration -- 2.3 Final Model -- 3 Results -- 3.1 Discussion Analysis -- 4 Conclusions -- References -- QFANet: A New Communication Model Base on Tree Architecture for Flying Ad Hoc Networks -- 1 Introduction -- 2 Related Work -- 2.1 Centralized Architecture -- 2.2 Satellite Architecture -- 2.3 Cellular Architecture -- 2.4 Single Group Ad Hoc Architecture -- 2.5 Multi-group UAVs Ad Hoc Architecture -- 2.6 Multi Layers UAVs Ad Hoc Architecture -- 3 The Proposed Communication Model QFANet -- 4 Simulation -- 5 Conclusion -- References -- VAAD: A VAE Based Anomaly Detection Approach for Smart Grids -- 1 Introduction -- 2 Literature Review -- 2.1 Traditional Approaches -- 2.2 Machine Learning in Anomaly Detection. 2.3 Variational Autoencoders (VAEs) -- 2.4 Context-Aware Anomaly Detection -- 3 Proposed VAAD Approach -- 3.1 Data Preprocessing -- 3.2 Variational Autoencoder Architecture -- 3.3 Contextual and Temporal Integration -- 3.4 Noise-Tolerant Concept Drift Detection -- 3.5 Anomaly Identification -- 4 Case Study -- 4.1 Dataset Description -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- DNA Data Encoding and Compression Using Image Compression Algorithms -- 1 Introduction -- 2 Literature Review -- 2.1 DNA Compression -- 2.2 Applications of DNA Compression -- 2.3 DNA Sequencing -- 3 Image-Based DNA Encoding -- 4 Conclusion -- References -- Generalized Multistage Feature for Deep Age Estimation from a Human Face Image -- 1 Introduction -- 2 State of the Art -- 3 Proposed System -- 3.1 Preprocessing -- 3.2 Face Features Extraction -- 3.3 Dimensionality Reduction -- 3.4 Robust Regression Step -- 4 Experimental Framework -- 4.1 Databases -- 4.2 Evaluation Protocol -- 4.3 Experımental Results -- 5 Conclusion -- References -- Enhancing Intrusion Detection Systems Through Simultaneous Feature Selection and Hyperparameter Tuning -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Representation of Individuals/population -- 3.2 Fitness Evaluation -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Experiments -- 4.3 Evaluation Metrics -- 4.4 Experimental Results -- 5 Conclusion -- References -- A Hybrid Genetic Algorithm for Hierarchical Routing in Wireless Sensor Networks -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 General Description and Objectives of the GF Scheme -- 4 Experimental Analysis -- 4.1 Simulation Step -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Energy-Aware LEACH: A Weighted Metric Approach for Dynamic Cluster Head Selection in WSN -- 1 Introduction. 1.1 LEACH Protocol Overview -- 1.2 Contributions to This Paper -- 1.3 Energy Model -- 1.4 Assumptions -- 2 Related Works -- 3 Proposed Work -- 3.1 Cluster Head Selection Approach -- 4 Implementation and Experimental Results -- 4.1 Performance Metrics -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910878055903321 |
|
Laouar Mohamed Ridda
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||