Artificial Intelligence
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The text discusses fundamentals and applications of artificial intelligence, and its applications in the fields of consumer electronics, robotics and manufacturing. It will be an ideal reference text for senior undergraduate and graduate students in different areas including electrical engineering, mechanical engineering, pharmacy and healthcare.

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Produktbeschreibung
The text discusses fundamentals and applications of artificial intelligence, and its applications in the fields of consumer electronics, robotics and manufacturing. It will be an ideal reference text for senior undergraduate and graduate students in different areas including electrical engineering, mechanical engineering, pharmacy and healthcare.
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Autorenporträt
Cherry Bhargava is currently working as an associate professor and head, school of electrical and electronics engineering at Lovely Professional University, Punjab, India. She has more than fourteen years of teaching and research experience. She has published research papers in journals of national and international repute. She has seven books related to reliability, artificial intelligence and digital electronics to her credit. She has registered three copyrights and filed two patents. She is a recipient of various national and international awards for being outstanding faculty in engineering and excellent researcher. She is an active reviewer and editorial member of various prominent SCI and Scopus indexed journals. She is a lifetime member of IET, IAENG, NSPE, IAOP, WASET, and reliability research group. Her area of expertise includes the reliability of electronic systems, digital electronics, VLSI design, artificial intelligence, and related technologies. Pradeep Kumar Sharma is presently working as an associate professor, school of pharmaceutical sciences, Lovely Professional University, Punjab, India. He has more than thirteen years of teaching and research experience. He has published technical research papers in SCI, Scopus indexed quality journals and national/international conferences. His areas of research include computer-aided drug design using artificial intelligence, pharmaceutical validation using artificial intelligence, brain tumor detection using artificial intelligence and intelligent medicine development for the treatment of renal dysfunction. He has taught courses including organic synthesis, medicinal chemistry and pharmaceutical analysis at undergraduate and graduate levels.