Industry 4.0 and Healthcare

Impact of Artificial Intelligence
1. Auflage 2023
ISBN: 978-981-9919-48-2
Verlag: Springer Nature Singapore

Buch, Englisch, 251 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 606 g

Reihe: Advanced Technologies and Societal Change

This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Lin, Jerry Chun-Wei

Mishra, Ashish

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Gesundheitsmanagement
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

An Artificial Intelligence Based Model for the Detection of Heart Disease Using Machine Learning.- Recent Advancements in AI-Assisted Drug Design and Discovery Systems.- Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI based Energy Efficient Reinforcement Learning Protocol.- The Impact of Artificial Intelligence on Healthcare.- Brain Tumor Segmentation of MR Images Using SVM and Fuzzy Classifier in Machine learning.

Über Autor(innen)

Dr. Ashish Mishra is currently working as a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur, India. He received his Ph.D. from AISECT University, Bhopal, India. His research interests include IOT, data mining, cloud computing, image processing and knowledge-based systems.

Dr. Jerry Chun-Wei Lin is currently working as a professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. His research interests include data mining, soft computing, artificial intelligence, social computing and privacy-preserving and security technologies.