Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022
(Sprache: Englisch)
This proceedings book constitutes the refereed proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during November 20-22, 2022, and is an international...
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This proceedings book constitutes the refereed proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during November 20-22, 2022, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.Inhaltsverzeichnis zu „Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022 “
Anti-electricity Stealing Detection Based on Recurrent Neural Network.- Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images using Transformers.- Adaptive Collaborative Learning Process in a Hybrid Model.- Overview of Gradient Descent Algorithms: Application to Railway Regularity.- Major Role of Artificial Intelligence, Machine Learning, And Deep Learning in Identity & Access Management field: Challenges and Atate of the Art.- Analysis of Feature Selection Methods for Network Traffic Classification.- MOOC Video Classification using Natural Language Processing and Machine Learning Model.- A Problem and Project-Based Learning Strategy to Promote Students' Motivation in Post-pandemic Graduation Design Studio: A prospective Comparative Study.- An Efficient 2-Stages Classification Model for Students Performance Prediction.- A Straggler Identification Model for Large-Scale Distributed Computing Systems using Machine Learning.- The Application of ArtificialIntelligence in Real Estate Valuation: A Systematic Review.- Agency Theory: Designing Optimal Incentives in the Insurance Sector.- Face mask Detection By Using Deep Learning with the Generative Adversarial Network-based Feature.Bibliographische Angaben
- 2022, 1st ed. 2023, XVII, 841 Seiten, 242 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Aboul Ella Hassanien, Václav Snásel, Mincong Tang, Tien-Wen Sung, Kuo-Chi Chang
- Verlag: Springer, Berlin
- ISBN-10: 3031206002
- ISBN-13: 9783031206009
Sprache:
Englisch
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