Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices (Computational Methods for Industrial Applications)
Language: English
Published by CRC Press, 2024
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New
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In English.
Seller Inventory # ria9781032261454_new
- Title
- Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices (Computational Methods for Industrial Applications)
- Publisher
- CRC Press
- Publication year
- 2024
- Condition
- New
- Language
- English
- ISBN 10
- 1032261455
- ISBN 13
- 9781032261454
- Item weight
- 680 grams
The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics.
Features:
• Highlights case studies and solutions to industrial problems using machine learning and intelligent systems.
• Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing.
• Provides the latest methodologies using machine intelligence systems in the early forecasting of weather.
• Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech.
• Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing.
• Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.
It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
"Synopsis" may belong to another edition of this title.
About the Author
P R Anisha, TEDx Speaker, is currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad. she holds a teaching experience of 9+ years. She received her Doctoral Degree from K L University, Guntur, India. Her area of interest includes Artificial Intelligence, Machine Learning, Image Processing. She has 35 + research articles published in International Conferences and Journals. She has co - authored two books named Introduction to C, C++ programming. She has acted as the special session chair for International Conferences for Springer - INDIA 2019, 2022, SCI 2021, FICTA 2020, 2022 besides the IEEE conference ICCSEA 2020. She is the member of ACM and IAENG professional bodies.
C Kishor Kumar Reddy, currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad. He obtained his Ph. D in Computer Science Engineering from K L E F Deemed to be University, Guntur, India. He has research and teaching experience of more than 9 years. He has published more than 50 research papers in National and International Conferences, Book Chapters, and Journals indexed by Scopus and others. He is an author for 2 text books and 2 co-edited books. He acted as the special session chair for Springer FICTA 2020, 2022, SCI 2021, INDIA 2022 and IEEE ICCSEA 2020 conferences. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT.
Nhu Gia Nguyen received the PhD degree in Mathematical for Computer Science from Ha Noi University of Science- Viet Nam National University, Vietnam. Currently, he is Dean of Graduate School- Duy Tan University, Viet Nam. He has a total academic teaching experience of 20 years with more than 60 publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, DBLP). His area of research includes: Healthcare Informatics, Network Performance Analysis and Simulation, Computational Intelligence. Recently, he has been the technical program committee, review committee, the track chair for international conferences: FICTA 2014, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016, IUKM 2016, INDIA 2017, FICTA 2017, FICTA 2018, INISCOM 2018, INISCOM 2019 under Springer-ASIC/LNAI Series. 9 Computer Science books published in Springer, IGI Global, CRC, Wiley Publication. Presently he is Associate Editor of the IGI-Global: International Journal of Synthetic Emotions (IJSE).
Megha Bhushan is currently an Assistant professor (Senior Grade) in the School of Computing, DIT University, Dehradun, India. She has received her Ph.D. degree from Thapar University, Punjab, India. She has 4 years of research experience as Junior Research Fellow and Senior Research Fellow under University Grants Commission (UGC), New Delhi, Government of India. She was awarded with fellowship by UGC, Government of India, in 2014. In 2017, she was a recipient of Grace Hopper Celebration India (GHCI) fellowship. She has filed 4 patents and published many research articles in international journals and conferences of repute. Her research interest includes Software quality, Software reuse, Ontologies, Artificial Intelligence, and Expert systems. She is also the reviewer and editorial board member of many international journals.
Ashok Kumar is currently an Assistant Professor in Chitkara University Research and Innovation Network (CURIN) Department, Punjab, India. He is PhD in Computer Science and Engineering from Thapar University, Punjab, India (TU). He also worked as a project fellow in UGC funded project during his stay at Thapar University. He has 15+ years of teaching and research experience. He has filed 3 patents and published many articles in International Journals and Conferences of repute. His current areas of research interest include Cloud Computing, Internet of Things, and Mist Computing. His teaching interest includes Python, Haskell, Java, C/C++, Advanced Data structures and Data mining.
Marlia Mohd Hanafiah is an Associate Professor and Head, Centre for Tropical Climate Change System, Institute of Climate Change, The National University of Malaysia, Malaysia. Areas of Research Expertise: Life Cycle Impact Assessment (LCA) and Environmental Foot printing of Green Materials and Energy • Environmental Engineering • Wastewater Treatment & Water Management • Green Technology & Sustainability. She has a total academic teaching experience of 15+ years with more than 100 publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, DBLP). She received research grant and consultation (as project leader & team member) of RM 7,284,719.00.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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