Intelligent Systems and Machine Learning for Industry : Advancements, Challenges, and Practices

The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication.

• | : P. R Anisha (Stanley Col of Engg and Tech for Women, India), C. Kishor Kumar Reddy (Stanley Col of Engg and Tech for Women, India), Nhu Gia Nguyen (Duy Tan Uni, Vietnam), Megha Bhushan (DIT Uni, India), Ashok Kumar, Marlia Mohd Hanafiah (UKM, Malaysia) (Edited by)
• | Publisher: Taylor & Francis Ltd
• | Publication Date: Dec 21, 2022
• | Country of Publication: United Kingdom
• | Number of Pages: 348 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1032261447
• | ISBN-13: 9781032261447