Technologies of Information and Modeling
Springer International Publishing (Verlag)
978-3-032-15146-9 (ISBN)
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This book constitutes the refereed proceedings of the 7th International Conference on Information Technology and Modeling, ICTIM 2024, held in Casablanca, Morocco, during November 26 27, 2024.
The 37 full papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers are organized in the following topical sections: Machine Learning, Computer Vision, and Data Analysis; Natural language processing(NLP), Smart Systems, and Emerging Technologies; Cybersecurity, Cryptography, and AI for Security.
.- Machine Learning, Computer Vision, and Data Analysis.
.- Evaluating the Computational Complexity of Various Machine Learning Algorithms.
.- Contrastive Learning on 3D Vision-Based Fall Detection.
.- Daily Harvest Forecast of Raspberries Crop Using Deep Learning Approach.
.- Revolutionizing Information Retrieval: Unveiling a NextGeneration AI-Powered Question-Answer System for Comprehensive Document Analysis.
.- Advanced User Profile Similarity Prediction: Integrating Bipartite Graphs with SimRank.
.- Forecasting Academic Success in Secondary Education: A Comprehensive Data Mining Approach Using Machine Learning Models.
.- Advanced Detection of Mobile Obstacles: A CNN Approach for Road Safety.
.- Leveraging RAG and AI Agents to Enhance Specialized LLMs in Education.
| Erscheint lt. Verlag | 28.1.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | Approx. 500 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Artificial Intelligence • Big Data • computer vision • Data Science • Deep learning • information systems • IOT • machine learning • Modeling • Natural Language Processing • Optimization • Software engineering |
| ISBN-10 | 3-032-15146-5 / 3032151465 |
| ISBN-13 | 978-3-032-15146-9 / 9783032151469 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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