Marir / Bouzid / Benaboud Proceedings of the 3rd International Conference on Computer Science's Complex Systems and Their Applications

ICCSA’2024
1. Auflage 2025
ISBN: 978-3-031-90758-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 354 Seiten

Reihe: Information Systems Engineering and Management

This book features a diverse collection of high-quality papers covering the latest advancements in Artificial Intelligence and its Applications, Cybersecurity, Software Engineering, Emergent Technologies, Networks and Embedded Systems. The ICCSA’2024 Proceedings bring together the latest research presented at the International Conference on Computer Science's Complex Systems and Their Applications (ICCSA’2024), held on November 13–14, 2024, in Oum El Bouaghi, Algeria.

Edited by leading experts in the field, this publication showcases innovative methodologies, theoretical breakthroughs, and real-world applications that shape the future of complex systems. With contributions from renowned researchers from around the world, who carefully selected the best research contributions for this international conference, the ICCSA’2024 Proceedings stand as a valuable resource for academics, industry professionals, and students seeking insights into the evolving landscape of complex systems.

Whether you are interested in complex systems and their engineering or their interdisciplinary applications, this book provides comprehensive and in-depth coverage of the most pressing challenges and transformative innovations in this field.

Zielgruppe

Research

Autoren/Hrsg.

Marir, Toufik

Bouzid, Maroua

Benaboud, Rohallah

Bourouis, Abdelhabib

Inhaltsverzeichnis

Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Mapping Study.- A comprehensive study on Artificial Intelligence of Things Optimization Approaches.- Fault Prediction in IoT Applications Using Federated Learning Based on Local Differential Privacy.- Deep Reinforcement Learning-Based Resource Allocation for the Internet of Vehicles: a Systematic Mapping Study.- Clustering using Markov Blanket Approximation to analyze agricultural data in an IoT environment.- GreenGrowth: Smart Irrigation and Data-driven Crop Management framework for Sustainable Agriculture .- Automated Weed Detection in Agriculture: A Performance Evaluation of YOLOv8 and InceptionV3 Models.- Deep Learning for prediction of leaks in oil and gas pipelines.- FNN-LSTM Model for Remaining Useful Life.- An intelligent approach to predicting of heart problems.- Enhancing Breast Tumour Classification using Ensemble Methods and Voting Systems.- Skin-VGG16: A Multimodal-based Approach for Skin Cancer Classification.- Recent Advances in Hair Removal in Dermoscopy Images Using Deep Learning Learning.- Swarm Intelligence Algorithms in Traffic Signal Control: A Critical Review of Particle Swarm, Bee Colony, and Ant Colony Approaches.- Addressing Data Heterogeneity in Federated Learning: The FedWAQ Approach to Weighted Aggregation Based on Data  Quality.