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OverviewThis book presents volume 1 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. Full Product DetailsAuthor: Saad Motahhir , Badre BossoufiPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2024 ed. Volume: 1098 ISBN: 9783031686498ISBN 10: 3031686497 Pages: 571 Publication Date: 17 August 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsExploring Arabic Hotel Reviews: Sentiment Insights through Deep Learning and BERT Transformers Models.- Unraveling the Intersection of Artificial Intelligence and Idea Generation A Systematic Literature Review.- Enhancing Student Success in Physical Education through Educational Data Mining Techniques.- A Fuzzy Timed Petri Net Approach to Modeling Forward Collision Warning Systems Based on the 3-Second Rule.- A systematic literature review on regression machine learning for urban flood hazard mapping.- Leveraging Artificial Intelligence for Environmental Information Integration in Investment Decision Making.- Leveraging deep collaborative filtering for advanced recommender systems.- Is AI an effective learning tool in academic writing Investigating the perceptions of third year university students on the use of artificial intelligence in classroom instruction.- Understanding the Attitude of Teacher Education Students toward Utilizing ChatGPT as a Learning Tool A Quantitative Analysis.- Machine Learning and Big Data for Cybersecurity systematic Literature Review.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |