http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xiii, 256 pages) : illustrations
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
edited by Cherry Bhargava and Pardeep Kumar Sharma.
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.
Boca Raton ; London ; New York : CRC Press, 2021