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International Conference on Smart Systems and Emerging Technologies

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	International Conference on Smart Systems and Emerging Technologies/ edited by Anis Koubaa ... [et al.].
其他作者:	Koubâa, Anis.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xv, 482 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence -
電子資源:	https://doi.org/10.1007/978-3-031-91235-1
ISBN:	9783031912351

International Conference on Smart Systems and Emerging Technologies
International Conference on Smart Systems and Emerging Technologies[electronic resource] /edited by Anis Koubaa ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 482 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,14012367-3389 ;. - Lecture notes in networks and systems ;v.1..

Enhancing Arabic Text to Gloss Machine Translation through Data Augmentation -- Arabic Image Captioning Using Transformer Based Encoder-Decoder Model -- FineTuning a Large Language Model for Dialogue Summarization -- Possibilistic distance measure oft e heterogenous data Numeric and Nominal -- A SpatioTemporal OSM Knowledge Graph for Accident Prediction Based on GCNGRU model -- An Innovative Approach to Privacy Preservation in CPABE Through GANEnhanced Policies for Resource Constrained Environments.

This book presents a groundbreaking compilation of cutting-edge research at the forefront of innovation, where artificial intelligence, machine learning, and advanced technologies converge to address real-world challenges with realistic solutions. This comprehensive book bridges theory and practice, offering transformative insights across diverse domains-from healthcare and cybersecurity to smart cities and language processing. Dive into pioneering advancements in Technology such as Arabic text-to-gloss machine translation, transformer-based image captioning, and GAN-enhanced privacy policies for constrained environments. Learn how deep learning revolutionizes cancer detection in medical imaging, optimizes traffic flow prediction, and refines speaker diarization in forensic audio. Immerse into ethical AI discussions, UAV navigation in GPS-denied terrains, and blockchain-secured voting systems, all while uncovering novel approaches to IoT security, cloud computing, and industrial efficiency. With contributions from leading researchers and practitioners, this book addresses critical topics like AI-driven sentiment analysis for business intelligence, self-supervised graph neural networks, and ethical implications of emerging technologies. Each chapter combines rigorous technical depth with actionable applications, making it an indispensable resource for researchers, engineers, and students eager to harness AI's potential in tackling modern global challenges.

ISBN: 9783031912351

Standard No.: 10.1007/978-3-031-91235-1doiSubjects--Topical Terms:

671585
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

International Conference on Smart Systems and Emerging Technologies
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520 $a This book presents a groundbreaking compilation of cutting-edge research at the forefront of innovation, where artificial intelligence, machine learning, and advanced technologies converge to address real-world challenges with realistic solutions. This comprehensive book bridges theory and practice, offering transformative insights across diverse domains-from healthcare and cybersecurity to smart cities and language processing. Dive into pioneering advancements in Technology such as Arabic text-to-gloss machine translation, transformer-based image captioning, and GAN-enhanced privacy policies for constrained environments. Learn how deep learning revolutionizes cancer detection in medical imaging, optimizes traffic flow prediction, and refines speaker diarization in forensic audio. Immerse into ethical AI discussions, UAV navigation in GPS-denied terrains, and blockchain-secured voting systems, all while uncovering novel approaches to IoT security, cloud computing, and industrial efficiency. With contributions from leading researchers and practitioners, this book addresses critical topics like AI-driven sentiment analysis for business intelligence, self-supervised graph neural networks, and ethical implications of emerging technologies. Each chapter combines rigorous technical depth with actionable applications, making it an indispensable resource for researchers, engineers, and students eager to harness AI's potential in tackling modern global challenges.
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