| Description |
1 online resource (313 p.) |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Section I: AI in Industry 4.0 -- Chapter 1: Computer Vision-Based System for Automation and Industrial Applications -- 1.1: Introduction -- 1.2: Previous Research -- 1.3: AOI System Application on a Scanning Machine -- 1.3.1: Detecting Rubber Keypads Defects on a Scanning Machine -- 1.3.2: Theoretical Framework, Materials, and Methods -- 1.3.2.1: Mobile image processing unit -- 1.3.2.2: Image calibration -- 1.3.2.3: Image segmentation -- 1.3.2.4: Automatic defect detection algorithm |
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1.3.2.5: Results and discussion -- 1.4: AOI System Application on Electronic Boards -- 1.4.1: Detecting Defects on Electronic Boards -- 1.4.2: Theoretical Framework, Materials, and Methods -- 1.4.2.1: Mobile image processing unit -- 1.4.2.2: Image calibration -- 1.4.2.3: Editing and automatic defect detection algorithm -- 1.4.2.4: Result and discussion -- 1.5: Conclusions -- Chapter 2: Opportunities and Challenges of the Fourth Industrial Revolution -- 2.1: Introduction -- 2.2: Evolving Fields in the Fourth Industrial Revolution -- 2.3: Artificial Intelligence: Technology Driving Change |
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2.4: Relationship between Artificial Intelligence, Deep Learning, and Machine Learning -- 2.4.1: Machine Learning -- 2.4.1.1: Types of machine learning -- 2.4.1.2: Types of reinforcement learning -- 2.4.1.3: Applications of reinforcement learning -- 2.4.2: Deep Learning -- 2.4.2.1: Role of deep learning in big data -- 2.4.2.2: Deep learning applications for big data analytics -- 2.5: AI Challenges by Potential Environmental Areas -- 2.5.1: Climate Modeling -- 2.5.2: Clean Oceans -- 2.5.3: Water Preservation -- 2.5.4: Weather and Disaster Management -- 2.6: Emerging Technologies |
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2.6.1: Key Drivers -- 2.6.1.1: Digitization/integration of value chains -- 2.6.1.2: Digitization of product and service offerings -- 2.6.1.3: Digital business models and customer access -- 2.7: The Role of Robotics in the 4IR -- 2.7.1: Applications of AI and Robotics -- 2.8: Conclusion -- 2.9: Future Scope -- Chapter 3: Role of AI in the Advancement of Drug Discovery and Development -- 3.1: Introduction -- 3.2: Artificial Intelligence -- 3.3: Machine Learning and Deep Learning in Artificial Intelligence -- 3.4: Application of Machine Learning in Pharmaceutical Science |
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3.4.1: Disease Identification and Diagnosis -- 3.4.2: Drug Discovery and Manufacturing -- 3.4.3: Smart Electronic Health Records -- 3.5: Building an AIF -- 3.6: Classification of Artificial Intelligence -- 3.6.1: Type 1 -- 3.6.2: Type 2 -- 3.7: General Aspects of AI -- 3.7.1: AI Use in Drug Development: R&D Proficiency -- 3.7.2: Application of AI in Drug Designing -- 3.7.2.1: Protein-protein interaction modeling -- 3.7.2.2: Virtual screening -- 3.7.2.3: Quantitative structure-activity relationship -- 3.7.2.4: Assessment of ADME -- 3.7.2.5: Drug repurposing/drug reposing |
| Summary |
This book presents the overall technology spectrum in artificial intelligence (AI) and the Fourth Industrial Revolution, which is set to revolutionize the world. It discusses their various aspects and related case studies from industry, academics, administration, law, finance, and accounting as well as educational technology. The contributors, who are experts in their respective fields and from industry and academia, focus on a gesture-recognition prototype for specially abled people; jurisprudential approach to AI and legal reasoning; automated chatbot for autism spectrum disorder using AI assistance; Big Data analytics and Internet of Things (IoT); role of AI in advancement of drug discovery; development, opportunities, and challenges of the Fourth Industrial Revolution; legal, ethical, and policy implications of AI; Internet of Health Things for smart healthcare and digital wellbeing; machine learning and computer vision; computer vision-based system for automation and industrial applications; AI-IoT in home-based healthcare; and AI in super-precision human brain and spine surgery. Buttressed with comprehensive theoretical, methodological, well-established, and validated empirical examples, the book covers the interests of a broad audience from basic science to engineering and technology experts and learners. It will be greatly helpful for CEOs, entrepreneurs, academic leaders, researchers, and students of engineering, biomedicine, and master's programs in science as well as the vast workforce and students with technical or non-technical backgrounds. It also serves common public interest by presenting new methods to improve the quality of life in general, with a better integration into society |
| Notes |
Description based upon print version of record |
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3.7.2.6: De novo drug design |
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Utpal Chakraborty is an eminent data scientist, artificial intelligence (AI) researcher, author, and strategist having more than two decades of industry experience, including working as a principal architect in L&T Infotech, IBM, Capgemini, and other multinational companies. He has also demonstrated some completely out-of-the-box hybridized lean and agile methodologies in various industries. Amit Banerjee is a scientist at the Department of Electrical and Computer Engineering, National University of Singapore. He has been a scientific researcher at the Research Institute of Electronics, Japan, and a part of the Innovative Photonics Evolution Research Center at Hamamatsu, Japan. Dr. Banerjee has extensively worked on terahertz devices, aiming at various biomedical applications. Jayanta Kumar Saha is a professor and head of the Department of Law, Bankura University, India. He has organized three international research projects with the University of New South Wales, Australia; Arsenic Mitigation and Research Foundation, Bangladesh; and Swansea University, UK. His primary areas of research include corporate laws, human rights, and AI. Niloy Sarkar is the dean of academics at the Neotia University, West Bengal, India. He is a visiting professor at BITS Pilani, India, and also a national committee member on IT and ITeS of the Confederation of Indian Industries, India. His research interests are health system management and AI in healthcare. Chinmay Chakraborty is an assistant professor at the Department of Electronics and Communication Engineering, BIT Mesra, India. His research interests include Wireless Body Area Network, Internet of Medical Things, and mobile health system. He is a recipient of the Cosmic Young Research Excellence Award, 2018, and Global Peer Review Award, Publons, 2018 |
| Subject |
Artificial intelligence -- Industrial applications
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COMPUTERS / Artificial Intelligence
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Artificial intelligence -- Industrial applications.
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| Form |
Electronic book
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| Author |
Banerjee, Amit.
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Saha, Jayanta Kumar.
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Sarkar, Niloy
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Chakraborty, Chinmay
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| ISBN |
9781000367881 |
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1000367886 |
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9781003159742 |
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1003159745 |
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9781000367935 |
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1000367932 |
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