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Titlebook: Emerging IT/ICT and AI Technologies Affecting Society; Mousmi Ajay Chaurasia,Chia-Feng Juang Book 2023 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 17:15:43 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Emerging IT/ICT and AI Technologies Affecting Society
編輯Mousmi Ajay Chaurasia,Chia-Feng Juang
視頻videohttp://file.papertrans.cn/309/308266/308266.mp4
概述Highlights the applications AI, ML, DL, remote sensing, edge computing, cybersecurity.Discusses how e-Learning impacts the education sector during unforeseen situations like a pandemic.Presents the us
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Emerging IT/ICT and AI Technologies Affecting Society; Mousmi Ajay Chaurasia,Chia-Feng Juang Book 2023 The Editor(s) (if applicable) and T
描述.This book presents the applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. COVID-19, a worldwide pandemic, has limited many physical operational areas and at the same time has motivated to uplift the initiative to digitalize the world. Society is facing ever more intense and protracted humanitarian crises, and as a result, the global community is pressed to find new ways to help people and communities in need. This interdisciplinary book highlights the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning experiences with the help of emerging technologies like IT/ICT, AI, ML, edge computing, robotics automation, 5G for the betterment of humanity.? It highlights the analytics and optimization issues impacting society and technology for example on security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people to create a secure tomorrow..
出版日期Book 2023
關鍵詞Quality of life; Machine vision; Smart systems; Electronic Data Interchange (EDI); e-Learning; Smart Citi
版次1
doihttps://doi.org/10.1007/978-981-19-2940-3
isbn_softcover978-981-19-2942-7
isbn_ebook978-981-19-2940-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Quality of Life Estimation Using a Convolutional Neural Network Technique, quality score is presented, which employs a deep learning architecture. A convolutional neural network and a support vector machine (SVM) were coupled to develop this solution for multimodal data. Three tests were conducted to determine the accuracy of the estimation method. In the research on livi
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,Real-Time Human–Machine Interaction Through Voice Augmentation Using Artificial Intelligence,icient and faithful access to great deal of knowledge. And the obtained information becomes more meaningful and understandable because it is appropriately customized in the aspect of real-time physical, digital, and virtual interactions. The objective of this project is to display the interactions o
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