東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

International Conference on Smart Sy...

International Conference on Smart Systems and Emerging Technologies (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

International Conference on Smart Systems and Emerging Technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	International Conference on Smart Systems and Emerging Technologies/ edited by Anis Koubaa ... [et al.].
other author:	Koubâa, Anis.
corporate name:	International Conference on Smart Systems and Emerging Technologies
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 482 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	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 ;1401..

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:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

International Conference on Smart Systems and Emerging Technologies
LDR:03061nmm a2200337 a 4500 001 2414281
003 DE-He213
005 20250813130210.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031912351 $q (electronic bk.)
020 $a 9783031912344 $q (paper)
024 7 $a 10.1007/978-3-031-91235-1 $2 doi
035 $a 978-3-031-91235-1
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .I61 2024
111 2 $a International Conference on Smart Systems and Emerging Technologies $n (3rd : $d 2024 : $c Marrakech, Morocco) $3 3790885
245 1 0 $a International Conference on Smart Systems and Emerging Technologies $h [electronic resource] / $c edited by Anis Koubaa ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xv, 482 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1401
505 0 $a 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.
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.
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Koubâa, Anis. $3 3790886
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v 1401. $3 3790887
856 4 0 $u https://doi.org/10.1007/978-3-031-91235-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)