
Artificial Intelligence Technologies for Engineering Applications
Description
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This book:
Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision-making, and control systems
Provides real-world examples of the applications of artificial intelligence in engineering, drawing from a range of industries, including aerospace, automotive, and manufacturing
Discusses technologies such as machine learning and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation
Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation
Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control
This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
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Persons
Anjanna Matta: is working as an Associate Professor in Department of Mathematics, Faculty of Science and Technology (ICFAITECH), IFHE, Hyderabad. He published several articles in various international journals. He is authoring few books and book chapters. He is awarded PhD from IIT Hyderabad, India, completed M. Tech (IMSC) from IIT Madras, India and M. Sc (Mathematics) from NIT Warangal, India.
M. Srinivas is working as an Assistant Professor in Department of Computer Science and Engineering, National Institute of Technology (NIT), Warangal, India. He received his Postdoc from ETS, Canada and Academia Sinica, Taiwan in years of 2018, 2016. He received his PhD degree from IIT Hyderabad in the year 2014. He published many papers in reputed Scopus /SCI journals, conference, book chapters and books. He received many travel grants to attend international conferences, conclaves and summits. He received Global Distinguished Young Scientist award from IEEE IAS Global conference in 2023. He is reviewer for several journals of international repute. His research areas include biomedical image analysis, machine learning, Deep learning and Artificial Intelligence.
Sachi Nandan Mohanty received his Postdoc from IIT Kanpur in the year 2019 and PhD. from IIT Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has authored/edited 32 books, published by international publishers. His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received 4 Best Paper Awards during his PhD at IIT Kharagpur from International Conference at Benjing, China, and the other at International Conference on Soft Computing Applications organized by IIT Rookee in the year 2013. He has been awarded the best thesis award first prize by Computer Society of India in the year 2015. He has guided 9 PhD scholars. He has published 120 International Journals of International repute and has been elected as FELLOW of Institute of Engineers, European Alliance Innovation(EAI), and Senior member of IEEE Computer Society Hyderabad chapter. He also the reviewer of Journal of Robotics and Autonomous Systems, Computational and Structural Biotechnology Journal, Artificial Intelligence Review, and Spatial Information Research.
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