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Fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security /edited by Arun Kumar Rana, PhD [and 4 others].
other author:	Rana, Arun Kumar,
Description:	xx, 250 pages:illustratinos ;24cm.
Subject:	Artificial intelligence.
Online resource:	https://www.taylorfrancis.com/books/9781003493570
ISBN:	9781003493570

Fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security /
Fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security /edited by Arun Kumar Rana, PhD [and 4 others]. - First edition. - xx, 250 pages:illustratinos ;24cm. - AAP advances in artificial intelligence and robotics.

Includes bibliographical references.

PART 1: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MEDICINE AND HEALTH CARE1. AI- and IoT-Based Medical Imaging Technology for Healthcare Applications: Future ResearchSandeep Kajal, Saurabh Katiyar, Ram Krishna, and Arun Kumar2. Early Diagnosis of Cyanotic Congenital Heart Disease Using Deep LearningRishabh Jha and Anjali Kumari Singh3. AI- and IoT-Based Smart Healthcare with Image ProcessingPriya Trivedi and Arun Kumar4. Cyber-Physical Systems in Medical ScienceNitin Tyagi, Poonam Rani, Siddharth Gautam, and Priyanshu JoshiPART 2: INTELLIGENT DECISION-MAKING AND ANALYSIS TECHNOLOGY5. Significance of ML and NLP in Sentiment AnalysisPummy Dhiman, Amandeep Kaur, Anupam Bonkra, and Nidhi Chahal6. Intelligent Innovative Systems: Experience on a Multidisciplinary Outlook on Current Challenges and ContingenciesN. Indumathi, M. Shanmugaeswari, R. Revathy, R. Ramalakshmi7. The Usage of Cloud Computing and IoT in Artificial IntelligencePoonam Sinha and Sunita Gond8. Blockchain-Based Model to Preserve Authenticity of Judicial EvidenceSumit Kumar Rana and Sanjeev Kumar RanaPART 3: MACHINE LEARNING AND DEEP LEARNING FOR AGRICULTURE9. Applications of Machine Learning and Deep Learning Techniques in Agriculture for Weeds and Crop Disease Detection and ClassificationUpendar K., Agrawal K. N., and Chandel N. S.PART 4: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR SECURITY SOLUTIONS10. Video Image Identification and Verification Using a Preliminary Score Approach for Authentication and Security EnhancementAditi Upadhyay, Shrikant Upadhyay, and Sudhir Kumar Sharma11. Machine Learning and Cyber Defense: Hype versus RealityRenu, Meena Sachdeva, and Inderpreet Kaur12. An Effectual Investigation on Security and Privacy in Vehicular Ad-Hoc Networks with Preventive MeasuresShally Nagpal, Shivani Gaba, Alankrita Aggarwal, and Deepak KumarPART 5: AUTOMATION IN IMAGE PROCESSING13. Automation of Image Processing with Artificial Intelligence and Pattern Recognition MethodsRavi Gorli and M. V. Kishore

This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.

Arun Kumar Rana, PhD, is currently working as Assistant Professor at Department of Computer Science and Engineering, Galgotias College of Engineering & Technology, Greater Noida, India. He has more than 15 years of experience. His area of interest includes image processing, wireless sensor networks, Internet of Things, AI, machine learning, and embedded systems. He has published more than 75 SCI/ESCI/Scopus-index papers in national and international journals and conferences. He has also published many books with national and international publishers like Taylor and Francis, USA. He has attended workshops and faculty development programs and guided six MTech candidates. He serves as a reviewer and editor for several international journals and conferences. He is also a member of the Asia Society of Research. He holds six national and international patents and has conducted many workshops on IoT and its applications in engineering, wireless networks, simulators, etc. He has keen interest in teaching and implementing the latest techniques related to wireless and IoT technology. He has received many international awards from various international organizations. He has been listed in the world scientist ranking in 2021 and 2022. He completed his BTech degree at Kurukshetra University, and MTech and PhD degrees at Maharishi Markandeshwar (Deemed to be University), Mullana, India (NAAC A++). Rashmi Gupta, PhD, is presently working as Professor in the Electronics and Communication Engineering Department at the Ambedkar Institute of Advanced Communication Technologies and Research, under Government of the National Capital Territory (NCT) of Delhi , India. She also holds the position of Founder Director of the Incubation Center AIACTR-IRF, funded by the Government of Delhi. She has rich experience in industry as well as at various academic institutes. Prof. Gupta has authored over 90 research papers in various renowned international journals and conferences. She has published patents and also has a DST-funded project. Prof. Gupta is associated with many international research organizations as editorial board member and reviewer. Her primary research interests are machine learning, computer vision, and signal and image processing. She completed her ME and PhD degrees in Electronics and Communication Engineering at Delhi College of Engineering, Delhi University, India. Sharad Sharma, PhD, is presently working as Professor in the Electronics and Communication Engineering Department at Maharishi Markandeshwar (Deemed to be University), Mullana, India. He has a vast experience of more than 20 years of teaching and administrative work. He has conducted many workshops on soft computing and its applications in engineering, wireless networks, simulators, etc. He has keen interest in teaching and implementing the latest techniques related to wireless and mobile communications. He opened a student chapter of IEEE as Branch Counsellor. His research interests are routing protocol design, performance evaluation, and optimization for wireless mesh networks using nature-inspired computing, Internet of Things, space communication, etc. He is a member of various professional bodies. He received his BTech degree in Electronics Engineering from Nagpur University, Nagpur, India, MTech in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Patiala, India, and PhD from the National Institute of Technology, Kurukshetra, India. Ahmed A. Elngar, PhD, is Associate Professor and Head of Computer Science Department, Faculty of Computers, and Artificial Intelligence, Beni-Suef University, Egypt, where he is also Director of the Technological and Informatics Studies Center (TISC). Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. Elngar has more than 55 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. He is a member of the Egyptian Mathematical Society and International Rough Set Society. His other research areas include Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, artificial intelligence, big data, authentication, cryptology, healthcare systems, and automation systems. He is an editor and reviewer of many international journals around the world. Dr. Elngar has won several awards, including the Young Researcher in Computer Science Engineering Award from Global Outreach Education Summit in 2019. He has also received Best Young Researcher Award (Male, under 40 years) of the Global Education and Corporate Leadership Awards (GECL-2018), Rajasthan, India. Sachin Dhawan, PhD, is currently working with the Panipat Institute of Engineering and Technology, Samalkha, India, as an Assistant Professor. Prof. Dhawan is currently pursuing his PhD degree in electronics and communication engineering at AIACT&R under Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India. He was an Assistant Professor at the Geeta Institute of Management and Technology, Kanipla, Kurukshetra, India. He has authored over 20 research papers in various international journals and conferences. He has also published his papers in IEEE conferences and Scopus/SCI-indexed journals. His current research interests include signal and image processing, Internet of Things, artificial intelligence, and machine learning. He is also an Associate Member of the All India Institutions of Engineers and a member of the Asia Society of Research. He serves as a reviewer for several journals and international conferences. He has also published two patents. He completed his BTech degree at Kurukshetra University, Kurukshetra, and MTech degree in electronics and communication engineering at the University Institute of Engineering and Technology under Kurukshetra University, Kurukshetra, India.

ISBN: 9781003493570

Standard No.: 10.1201/9781003493570doi

Source: 9781003493570Taylor & FrancisSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security /
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505 0 # $a PART 1: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MEDICINE AND HEALTH CARE1. AI- and IoT-Based Medical Imaging Technology for Healthcare Applications: Future ResearchSandeep Kajal, Saurabh Katiyar, Ram Krishna, and Arun Kumar2. Early Diagnosis of Cyanotic Congenital Heart Disease Using Deep LearningRishabh Jha and Anjali Kumari Singh3. AI- and IoT-Based Smart Healthcare with Image ProcessingPriya Trivedi and Arun Kumar4. Cyber-Physical Systems in Medical ScienceNitin Tyagi, Poonam Rani, Siddharth Gautam, and Priyanshu JoshiPART 2: INTELLIGENT DECISION-MAKING AND ANALYSIS TECHNOLOGY5. Significance of ML and NLP in Sentiment AnalysisPummy Dhiman, Amandeep Kaur, Anupam Bonkra, and Nidhi Chahal6. Intelligent Innovative Systems: Experience on a Multidisciplinary Outlook on Current Challenges and ContingenciesN. Indumathi, M. Shanmugaeswari, R. Revathy, R. Ramalakshmi7. The Usage of Cloud Computing and IoT in Artificial IntelligencePoonam Sinha and Sunita Gond8. Blockchain-Based Model to Preserve Authenticity of Judicial EvidenceSumit Kumar Rana and Sanjeev Kumar RanaPART 3: MACHINE LEARNING AND DEEP LEARNING FOR AGRICULTURE9. Applications of Machine Learning and Deep Learning Techniques in Agriculture for Weeds and Crop Disease Detection and ClassificationUpendar K., Agrawal K. N., and Chandel N. S.PART 4: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR SECURITY SOLUTIONS10. Video Image Identification and Verification Using a Preliminary Score Approach for Authentication and Security EnhancementAditi Upadhyay, Shrikant Upadhyay, and Sudhir Kumar Sharma11. Machine Learning and Cyber Defense: Hype versus RealityRenu, Meena Sachdeva, and Inderpreet Kaur12. An Effectual Investigation on Security and Privacy in Vehicular Ad-Hoc Networks with Preventive MeasuresShally Nagpal, Shivani Gaba, Alankrita Aggarwal, and Deepak KumarPART 5: AUTOMATION IN IMAGE PROCESSING13. Automation of Image Processing with Artificial Intelligence and Pattern Recognition MethodsRavi Gorli and M. V. Kishore
520 # $a This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.
545 0 $a Arun Kumar Rana, PhD, is currently working as Assistant Professor at Department of Computer Science and Engineering, Galgotias College of Engineering & Technology, Greater Noida, India. He has more than 15 years of experience. His area of interest includes image processing, wireless sensor networks, Internet of Things, AI, machine learning, and embedded systems. He has published more than 75 SCI/ESCI/Scopus-index papers in national and international journals and conferences. He has also published many books with national and international publishers like Taylor and Francis, USA. He has attended workshops and faculty development programs and guided six MTech candidates. He serves as a reviewer and editor for several international journals and conferences. He is also a member of the Asia Society of Research. He holds six national and international patents and has conducted many workshops on IoT and its applications in engineering, wireless networks, simulators, etc. He has keen interest in teaching and implementing the latest techniques related to wireless and IoT technology. He has received many international awards from various international organizations. He has been listed in the world scientist ranking in 2021 and 2022. He completed his BTech degree at Kurukshetra University, and MTech and PhD degrees at Maharishi Markandeshwar (Deemed to be University), Mullana, India (NAAC A++). Rashmi Gupta, PhD, is presently working as Professor in the Electronics and Communication Engineering Department at the Ambedkar Institute of Advanced Communication Technologies and Research, under Government of the National Capital Territory (NCT) of Delhi , India. She also holds the position of Founder Director of the Incubation Center AIACTR-IRF, funded by the Government of Delhi. She has rich experience in industry as well as at various academic institutes. Prof. Gupta has authored over 90 research papers in various renowned international journals and conferences. She has published patents and also has a DST-funded project. Prof. Gupta is associated with many international research organizations as editorial board member and reviewer. Her primary research interests are machine learning, computer vision, and signal and image processing. She completed her ME and PhD degrees in Electronics and Communication Engineering at Delhi College of Engineering, Delhi University, India. Sharad Sharma, PhD, is presently working as Professor in the Electronics and Communication Engineering Department at Maharishi Markandeshwar (Deemed to be University), Mullana, India. He has a vast experience of more than 20 years of teaching and administrative work. He has conducted many workshops on soft computing and its applications in engineering, wireless networks, simulators, etc. He has keen interest in teaching and implementing the latest techniques related to wireless and mobile communications. He opened a student chapter of IEEE as Branch Counsellor. His research interests are routing protocol design, performance evaluation, and optimization for wireless mesh networks using nature-inspired computing, Internet of Things, space communication, etc. He is a member of various professional bodies. He received his BTech degree in Electronics Engineering from Nagpur University, Nagpur, India, MTech in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Patiala, India, and PhD from the National Institute of Technology, Kurukshetra, India. Ahmed A. Elngar, PhD, is Associate Professor and Head of Computer Science Department, Faculty of Computers, and Artificial Intelligence, Beni-Suef University, Egypt, where he is also Director of the Technological and Informatics Studies Center (TISC). Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. Elngar has more than 55 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. He is a member of the Egyptian Mathematical Society and International Rough Set Society. His other research areas include Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, artificial intelligence, big data, authentication, cryptology, healthcare systems, and automation systems. He is an editor and reviewer of many international journals around the world. Dr. Elngar has won several awards, including the Young Researcher in Computer Science Engineering Award from Global Outreach Education Summit in 2019. He has also received Best Young Researcher Award (Male, under 40 years) of the Global Education and Corporate Leadership Awards (GECL-2018), Rajasthan, India. Sachin Dhawan, PhD, is currently working with the Panipat Institute of Engineering and Technology, Samalkha, India, as an Assistant Professor. Prof. Dhawan is currently pursuing his PhD degree in electronics and communication engineering at AIACT&R under Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India. He was an Assistant Professor at the Geeta Institute of Management and Technology, Kanipla, Kurukshetra, India. He has authored over 20 research papers in various international journals and conferences. He has also published his papers in IEEE conferences and Scopus/SCI-indexed journals. His current research interests include signal and image processing, Internet of Things, artificial intelligence, and machine learning. He is also an Associate Member of the All India Institutions of Engineers and a member of the Asia Society of Research. He serves as a reviewer for several journals and international conferences. He has also published two patents. He completed his BTech degree at Kurukshetra University, Kurukshetra, and MTech degree in electronics and communication engineering at the University Institute of Engineering and Technology under Kurukshetra University, Kurukshetra, India.
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