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

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.