There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
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Kavita Saini (IEEE and ACM Member) is presently working as Professor, School of Computing Science and Engineering, Galgotias University, Delhi NCR, India. She received her PhD degree from Banasthali Vidyapeeth, Banasthali. She has 18 years of teaching and research experience supervising Masters and PhD scholars in emerging technologies. She has published more than 80 research papers in national and international journals and conferences. She has published 18 authored books for UG and PG courses for a number of universities including MD University, Rothak, and Punjab Technical University, Jallandhar with National Publishers. Kavita Saini has edited more than 12 books with International Publishers including Elsevier, IET Publisher, IGI Global and CRC Press, NOVA Science Publisher and published 25 book chapters with International publishers. Under her guidance many M Tech and Ph D scholars are carrying out research work. She has also published various patents. Kavita Saini has also delivered technical talks on Blockchain: An Emerging Technology, Web to Deep Web and other emerging Areas and Handled many Special Sessions in International Conferences and Special Issues in International Journals. Her research interests include Smart and Sustainable Agricultural, Blockchain Technology, Industry 5.O, and Cloud and Edge Computing, Digital Twin and Web-Based Instructional Systems (WBIS)
A. Mummoorthy is a researcher at Malla Reddy College of Engineering and Technology, India.
Roopa Chandrika is a researcher at the Department of Information Technology, Malla Reddy College of Engineering and Technology, India.
N.S. Gowri Ganesh graduated with a B.E. and an M.E. in computer science and engineering from Bharathiar University in Coimbatore, India in 1993 and 2000, respectively,. In 2015, he also graduated with a Ph.D. in computer science and engineering from Chennai's Anna University. He is a member of the academic board of several colleges' boards of studies. He served as a C-DAC representative on the syllabus framing committee for "Free and Open source software" at Anna University. He had served as the chair of several technical panels on open-source projects and service-oriented architecture. He had given guest lectures at a number of different institutions. His areas of interest include blockchain technology, provenance, IOT, cloud computing, and semantic web services. He has research papers published in IEEE and SCI publications as well as national and international conferences. Additionally, he had contributed book chapters for academic journals including IGI-Global, Springer, and CRC Press.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students. Bestandsnummer des Verkäufers 9781668477014
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