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Advances in information and communic...
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International Conference on Advances in ICT (2023 :)
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Advances in information and communication technology = proceedings of the 2nd International Conference ICTA 2023.. Volume 1 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in information and communication technology/ edited by Phung Trung Nghia ... [et al.].
其他題名:
proceedings of the 2nd International Conference ICTA 2023.
其他題名:
ICTA 2023
其他作者:
Nghia, Phung Trung.
團體作者:
International Conference on Advances in ICT
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xxx, 342 p. :ill. (chiefly color), digital ;24 cm.
內容註:
A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.
Contained By:
Springer Nature eBook
標題:
Information technology - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-49529-8
ISBN:
9783031495298
Advances in information and communication technology = proceedings of the 2nd International Conference ICTA 2023.. Volume 1 /
Advances in information and communication technology
proceedings of the 2nd International Conference ICTA 2023.Volume 1 /[electronic resource] :ICTA 2023edited by Phung Trung Nghia ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xxx, 342 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,8472367-3389 ;. - Lecture notes in networks and systems ;847..
A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.
This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU)
ISBN: 9783031495298
Standard No.: 10.1007/978-3-031-49529-8doiSubjects--Topical Terms:
543170
Information technology
--Congresses.
LC Class. No.: T58.5
Dewey Class. No.: 004.6
Advances in information and communication technology = proceedings of the 2nd International Conference ICTA 2023.. Volume 1 /
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A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.
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