Artificial Intelligence

Fundamentals and Applications
1. Auflage 2024
ISBN: 978-0-367-55973-1
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 270 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 386 g

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.

Zielgruppe

Academic, Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Bhargava, Cherry

Sharma, Pradeep Kumar

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Chapter 1 Artificial Intelligence and Nanotechnology: A Super Convergence

Chapter 2 Artificial Intelligence in E-Commerce: A Business Process Analysis

Chapter 3 ABC of Digital Era with Special Reference to Banking Sector

Chapter 4 Artificial Intelligence in Predictive Analysis of Insurance and Banking

Chapter 5 Artificial Intelligence in Robotics and Automation

Chapter 6 Artificial Intelligence: An Emerging Approach in Healthcare.

Chapter 7 Artificial Intelligence and Personalized Medicines: A Joint Narrative on Advancement in Medical Healthcare.

Chapter 8 Nanotechnology and Artificial Intelligence for Precision Medicine in Oncology

Chapter 9 Applications of Artificial Intelligence in Pharmaceutical and Drug Formulation

Chapter 10 Role of Artificial Intelligence for Diagnosing Tuberculosis

Chapter 11 Applications of Artificial Intelligence in Detection and Treatment of COVID-19

Chapter 12 Internet of Things-Powered Artificial Intelligence Using Microsoft Azure Platform

Chapter 13 Load Balancing in Wireless Heterogeneous Network with Artificial Intelligence

Chapter 14 Applications of Artificial Intelligence Techniques in the Power Systems

Chapter 15 Impact of Artificial Intelligence in the Aviation and Space Sector

Chapter 16 Artificial Intelligence for Weather Forecasting

Chapter 17 Molecular Mining: Applications in Pharmaceutical Sciences

Über Autor(innen)

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.