Features:
• Highlights case studies and solutions to industrial problems using machine learning and intelligent systems.
• Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing.
• Provides the latest methodologies using machine intelligence systems in the early forecasting of weather.
• Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech.
• Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing.
• Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.
It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Features:
• Highlights case studies and solutions to industrial problems using machine learning and intelligent systems.
• Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing.
• Provides the latest methodologies using machine intelligence systems in the early forecasting of weather.
• Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech.
• Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing.
• Discusses a systematic and exhaustive analysis of intelligent software effort estimation models.
It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices
362
Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices
362Product Details
ISBN-13: | 9781032261447 |
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Publisher: | CRC Press |
Publication date: | 12/21/2022 |
Series: | Computational Methods for Industrial Applications |
Pages: | 362 |
Product dimensions: | 6.12(w) x 9.19(h) x (d) |