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Titlebook: Innovations in Intelligent Computing and Communication; First International Mrutyunjaya Panda,Satchidananda Dehuri,Carlos A. C Conference

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发表于 2025-3-21 19:02:50 | 显示全部楼层 |阅读模式
书目名称Innovations in Intelligent Computing and Communication
副标题First International
编辑Mrutyunjaya Panda,Satchidananda Dehuri,Carlos A. C
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Innovations in Intelligent Computing and Communication; First International  Mrutyunjaya Panda,Satchidananda Dehuri,Carlos A. C Conference
描述.This book contains the papers presented at the First International Conference on Innovations in Intelligent Computing and Communication, ICIICC 2021, held in Bhubaneswar, Odisha, India, in December, 2022...The 31 full papers presented were thoroughly reviewed and selected from 78 submissions. They are divided in three tracks with the following topics: ​Intelligent Computing; Communications; and Machine Learning and Data Analytics..
出版日期Conference proceedings 2022
关键词artificial intelligence; communication systems; computer networks; computer systems; computer vision; dat
版次1
doihttps://doi.org/10.1007/978-3-031-23233-6
isbn_softcover978-3-031-23232-9
isbn_ebook978-3-031-23233-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Sanjit Kumar Dash,Sambit Subhasish Sahu,J. Chandrakant Badajena,Sweta Dash,Chinmayee Rout Cognitive Search service.Use AI services with Low Code – Power Automate.UseAI services with Azure Integration services.Use AIservices with Azure Server-less offerings.Use automatictunin978-1-4842-6218-4978-1-4842-6219-1
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Suresh Devanapalli,Kolloju Phaneendrahow you can use simplify them to deliver on your business goals. Case studies that feature the digital transformation journeys of companies like Hertz, BBC, Domino‘s Pizza and more will be explored. .What You‘l978-1-4842-9498-7978-1-4842-9499-4
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Ensemble Learning Model for EEG Based Emotion Classification classification. Furthermore, by the best model we can classify four emotional regions in the valance-arousal plane: HVHA, HVLA, LVHA and LVLA can be classified. The experimental results show that among all the three deep learning models, 1D-CNN-GRU achieved the highest training accuracy of 96.54% a
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