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Deep learning applications.. Volume 4

International Conference on Machine Learning and Applications (2021 :)

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Deep learning applications.. Volume 4

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning applications./ edited by M. Arif Wani, Vasile Palade.
其他作者:	Wani, M. Arif.
團體作者:	International Conference on Machine Learning and Applications
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xiv, 384 p. :ill., digital ;24 cm.
內容註:	Identification of Human Papillomavirus from Super Resolution Microscopic Images Generated Using Deep Learning Architectures -- Evaluation of Sequential and Temporally-Embedded Deep Learning Models for Health Outcome Prediction -- Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions -- Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings -- A Comprehensive Analysis of Aspect Oriented Suggestion Extraction from Online Reviews.
Contained By:	Springer Nature eBook
標題:	Deep learning (Machine learning) - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-19-6153-3
ISBN:	9789811961533

Deep learning applications.. Volume 4
Deep learning applications.Volume 4[electronic resource] /edited by M. Arif Wani, Vasile Palade. - Singapore :Springer Nature Singapore :2023. - xiv, 384 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v. 14342194-5365 ;. - Advances in intelligent systems and computing ;v. 1434..

Identification of Human Papillomavirus from Super Resolution Microscopic Images Generated Using Deep Learning Architectures -- Evaluation of Sequential and Temporally-Embedded Deep Learning Models for Health Outcome Prediction -- Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions -- Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings -- A Comprehensive Analysis of Aspect Oriented Suggestion Extraction from Online Reviews.

This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021) It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.

ISBN: 9789811961533

Standard No.: 10.1007/978-981-19-6153-3doiSubjects--Topical Terms:

3593062
Deep learning (Machine learning)
--Congresses.

LC Class. No.: Q325.73

Dewey Class. No.: 006.31

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