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Sustainable development in AI, blockchain, and e-governance applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sustainable development in AI, blockchain, and e-governance applications/ Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Hari Om Sharan, Sandeep Kumar, editors.
其他題名:	Sustainable development in artificial intelligence, blockchain, and e-governance applications
其他作者:	Abdul Hamid, Abu Bakar,
出版者:	Hershey, Pennsylvania :IGI Global, : 2024.,
面頁冊數:	1 online resource (282 p.)
標題:	Quantitative research. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1722-8
ISBN:	9798369317235

Sustainable development in AI, blockchain, and e-governance applications
Sustainable development in AI, blockchain, and e-governance applications[electronic resource] /Sustainable development in artificial intelligence, blockchain, and e-governance applicationsRajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Hari Om Sharan, Sandeep Kumar, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (282 p.)

Includes bibliographical references and index.

Chapter 1. Automatic rifle and sniper detection using pose estimation and CNN with BiLSTMs -- Chapter 2. Autonomous agriculture: the role of IoT, AI, and ML in drone operations -- Chapter 3. Deep learning models for predicting high and low tides with gravitational analysis -- Chapter 4. Energy cascade conversion system and energy-efficient infrastructure -- Chapter 5. Hybrid approach for quantifying company assets using structural credit risk models -- Chapter 6. Information retrieval system on the web: challenges and issues -- Chapter 7. Intelligent information retrieval, neural networks, and their applications for smart cities -- Chapter 8. Smart healthcare system, digital health and telemedicine, management and emergencies: patient emergency application (PES) e-governance applications -- Chapter 9. Smart prediction farming using deep learning and AI techniques -- Chapter 10. Soil quality prediction using deep learning -- Chapter 11. Succeeding India's retail digital currency -- Chapter 12. Sustainable development using IoT and AI techniques for water utilization in agriculture.

"In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments.Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications."--

ISBN: 9798369317235Subjects--Topical Terms:

635913
Quantitative research.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q325.73 / .S87 2024e

Dewey Class. No.: 006.31

Sustainable development in AI, blockchain, and e-governance applications
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246 3 $a Sustainable development in artificial intelligence, blockchain, and e-governance applications
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300 $a 1 online resource (282 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Automatic rifle and sniper detection using pose estimation and CNN with BiLSTMs -- Chapter 2. Autonomous agriculture: the role of IoT, AI, and ML in drone operations -- Chapter 3. Deep learning models for predicting high and low tides with gravitational analysis -- Chapter 4. Energy cascade conversion system and energy-efficient infrastructure -- Chapter 5. Hybrid approach for quantifying company assets using structural credit risk models -- Chapter 6. Information retrieval system on the web: challenges and issues -- Chapter 7. Intelligent information retrieval, neural networks, and their applications for smart cities -- Chapter 8. Smart healthcare system, digital health and telemedicine, management and emergencies: patient emergency application (PES) e-governance applications -- Chapter 9. Smart prediction farming using deep learning and AI techniques -- Chapter 10. Soil quality prediction using deep learning -- Chapter 11. Succeeding India's retail digital currency -- Chapter 12. Sustainable development using IoT and AI techniques for water utilization in agriculture.
520 3 $a "In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments.Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications."-- $c Provided by publisher.
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650 0 $a Sustainability. $3 793436
650 0 $a Blockchains (Databases) $3 1140752
650 0 $a Artificial intelligence. $3 559380
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700 1 $a Kumar, Rajeev. $3 1102208
700 1 $a Ya'akub, Noor Inayah Binti. $3 1458866
700 1 $a Sharan, Hari Om. $3 1458865
700 1 $a Kumar, Sandeep. $3 883974
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