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Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2024 The Editor(s) (if appl

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书目名称Digital Technologies and Applications
副标题Proceedings of ICDTA
编辑Saad Motahhir,Badre Bossoufi
视频video
概述Provides unique perspectives on digital technologies and their applications.Covers the full range of digital technologies and their potential applications across various industries and sectors.Offers
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2024 The Editor(s) (if appl
描述.This book presents volume 2 of selected research papers presented at the fourth International Conference on Digital Technologies and Applications (ICDTA’24). Highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, chatbot, network technology, digital transformation and their applications in several areas as Industry 4.0, sustainability, energy transition, and healthcare, the book encourages and inspires researchers, industry professionals, and policymakers to put these methods into practice..
出版日期Conference proceedings 2024
关键词ICDTA; Machine Learning; Artificial Intelligence; Big Data; Internet of Things; Blockchain; Embedded Syste
版次1
doihttps://doi.org/10.1007/978-3-031-68653-5
isbn_softcover978-3-031-68652-8
isbn_ebook978-3-031-68653-5Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Dynamic Computing of Discrete Tchebichef Polynomialsh as images and signals, and they are used in computer vision for image representation and pattern recognition. However, the high dimensions of images may limit the use of these moments because of their high computational cost. There is a need for advanced algorithms to calculate these moments for h
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MOERID: Design and Implementation of a GPT-3-Based Generative Chatbot for Personalized Open Educatioin this transformation enabling educators to enhance course development by utilizing existing educational materials. However the main challenge lies in locating OERs that meet the users’ educational needs and goals. To tackle this issue we introduce MOERID, a chatbot powered by GPT 3 that offers rec
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A New Multi-objective Optimization Model for Optimal Configuration of CNNslems. However, determining an optimal CNN architecture is still unclear and needs mathematical development. Furthermore, most current CNN models are primarily crafted in a specific manner. This study introduces a novel multi-objective optimization model to find optimal hyperparameters related to CNN
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Comparative Analysis of Multiclass Classification Machine Learning Models for Cybersecurity Intrusio against all kinds of network attacks that are constantly evolving. Nowadays, Machine Learning (ML) is implemented in various cybersecurity tools, Intrusion Detection System-based ML brings more capabilities to improve the detection of cyber attacks. This study aims to perform a comparative analysis
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