Smart Computing and Systems
Springer International Publishing (Verlag)
978-3-032-16280-9 (ISBN)
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This book constitutes the refereed proceedings of the 9th Global Symposium on Smart Computing and Systems, G3S 2025, held in Beni Mellal, Morocco, during November 27 29, 2025.
The 30 full papers included in this book were carefully reviewed and selected from 81 submissions. They were organized in topical sections as follows: Intelligent Models and Smart Decision Systems; Connected Intelligence and Distributed Architectures; and Secure, Trusted, and Data-Driven Ecosystems.
Intelligent Models and Smart Decision Systems.- Empirical Study of Knowledge Graph Definitions.- User Rationality Impact In Competitive CP Environment.- Neural-Heuristic Tree of Thoughts for Augmented Sequential Reasoning in Large Language Models.- A Comparative Analysis of State-of-the-Art Multilingual Processing Systems.- CryptoGpt: An LLM-Driven Transfer Learning Approach to Cryptocurrencies Time Series Forecasting.- LLMs in Video Generation Pipelines: A Literature Review of Applications and Challenges.- Detection and Segmentation of Date Fruit Bunch Stalk Using YOLOv8 and SAM Algorithms.- Semantic Segmentation of Post-flood Images Using SegFormer.- Facial Expression Recognition Using 3D Triangular Meshes and Graph Convolutional Networks.- Radial Basis Function Neural Networks for Collision Learning and Mask Detection in Image Inpainting.- A Neural Recommender for Diverse Course Suggestions in Online Learning.- Boosted Machine Learning for Fast CU Split Decision in 3D-HEVC Depth Map Intercoding.- Artificial Intelligence Approaches in Genomic Disease Prediction.- Adaptive Deep Learning-Based Energy Control for Autonomous Vehicles under Variable Passenger Loads and Dynamic Adhesion Conditions.- Connected Intelligence and Distributed Architectures.- Hybrid Clustering Approach Using K-Means, SOM, and DDC for User Mobility Management in Fog Environments.- Machine Learning Based Task Offloading for Energy and Execution Time Efficient IoT Devices in MEC Environments.- Trajectory Planning based on RL Swarm Approach Applied to the Palm Harvesting System.- UAV-CacheTrace v1.0: A 140-Million-Row Synthetic Mobility--Content Trace for Aerial Edge-Caching and Trajectory Planning Research.- A Novel AI Based Embedded System for Intelligent Solar Tracking to Enhance Renewable Energy Utilization.- Accelerating Influenza Antiviral Discovery with BOINC Computing.- Casablanca: Morocco s Smart City Prototype.- Secure, Trusted, and Data-Driven Ecosystems.- An Optimized Deep Neural Network for SMS Phishing Detection: A Reliable and Efficient Approach to Mobile Threat Mitigation.- An Advanced Denoising Stacked Autoencoder Model for Securing 5G Networks Against Viruses.- Beyond Bag-of-Words: Transformers for Robust Cyberbullying Detection on Twitter.- Improving Log-based Anomaly Detection with Deep Learning Models.- Enhanced Logistic-Rational Map Chaotic for Cryptographic Applications.- Lightweight PUF-Based Authentication Protocol for IoT.- Federated Learning for Credit Card Fraud Detection: A Comparative Study of Logistic Regression, Random Forest, and XGBoost.- Ethical Challenges of AI in Public Recruitment in Morocco.- Secure an Autonomous Driving System Using Deep Reinforcement Learning: A Simulation Based Study in CARLA.
| Erscheint lt. Verlag | 10.2.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | X, 425 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | computer vision • cybersecurity • deep neural networks • federated learning • fraud detection • IoT security • Large Language Models • Machine Learning Optimization • Mobile Edge Computing • Multi-agent Systems • Phishing & Anomaly Detection • Privacy-Preserving Analytics • Reinforcement Learning • Task Offloading • Trusted AI |
| ISBN-10 | 3-032-16280-7 / 3032162807 |
| ISBN-13 | 978-3-032-16280-9 / 9783032162809 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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