作者SpringerLink (Online service)
書名Artificial intelligence for societal issues / edited by Anupam Biswas, Vijay Bhaskar Semwal, Durgesh Singh
出版項Cham : Springer International Publishing : Imprint: Springer, 2023
其他作者Biswas, Anupam,
Semwal, Vijay Bhaskar,
Singh, Durgesh,
說明1 online resource (xv, 356 pages) : illustrations (chiefly color), digital ; 24 cm
文字text
無媒介computer
成冊online resource
說明text file PDF
系列Intelligent systems reference library, 1868-4408 ; volume 231
Intelligent systems reference library ; volume 231
附註Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation -- A Survey on Deep Learning Models to detect Hate Speech and Bullying in Social Media -- A Deep Learning based System to Estimate Crowd and Detect Violence in Videos
Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning
主題Artificial intelligence -- Social aspects
Computers and civilization
Social problems -- Data processing
Data Engineering
Computational Intelligence
Artificial Intelligence
ISBN/ISSN9783031124198 (electronic bk.)
9783031124181 (paper)
10.1007/978-3-031-12419-8
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