Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

Intelligent computing encompasses technologies,algorithms,and models to solve performance and design issues, such as the airports intelligent safety system. The book discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways. It also covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real-world problems.

Format: Hardback
Length: 404 pages
Publication date: 07 June 2023
Publisher: Taylor & Francis Ltd

Intelligent computing encompasses a wide range of technologies, algorithms, and models that are used to provide effective and efficient solutions to a diverse range of problems. One of the key areas of intelligent computing is the development of intelligent systems, which are designed to perform tasks that require human intelligence, such as decision-making, problem-solving, and learning. Intelligent systems can be based on a variety of technologies, including artificial intelligence, machine learning, and natural language processing.

Artificial intelligence is a branch of computer science that focuses on the development of computer systems that can perform tasks that require human intelligence, such as perception, reasoning, and learning. AI systems are designed to analyze large amounts of data and make decisions based on that data. Machine learning is a subset of artificial intelligence that involves the use of algorithms to learn from data and make predictions or decisions.

Fuzzy systems are a type of artificial intelligence that is used to deal with uncertainty and imprecision in data. Fuzzy systems are designed to make decisions based on a set of rules that are defined by a human expert. Evolutionary computing is a type of optimization algorithm that is used to find the best solution to a problem. Evolutionary computing is based on the principles of natural selection and genetics.

Data mining is a process of extracting useful information from large amounts of data. Data mining is used in a variety of applications, including business intelligence, healthcare, and finance.

One of the key applications of intelligent computing is in the field of transportation. Intelligent transportation systems are designed to improve traffic flow, reduce congestion, and improve safety. Intelligent transportation systems use a variety of technologies, including sensors, cameras, and communication networks, to collect and analyze data about traffic and road conditions.

Another important application of intelligent computing is in the field of healthcare. Intelligent healthcare systems are designed to improve the diagnosis, treatment, and management of chronic diseases. Intelligent healthcare systems use a variety of technologies, including medical imaging, electronic health records, and machine learning algorithms, to analyze data and make predictions about patient health.

In conclusion, intelligent computing is a rapidly evolving field that is used to provide effective and efficient solutions to a wide range of problems. Intelligent systems are designed to perform tasks that require human intelligence, and they can be based on a variety of technologies, including artificial intelligence, machine learning, and natural language processing. The applications of intelligent computing are diverse, and they include transportation, healthcare, and finance. As the field of intelligent computing continues to evolve, it is likely to have a significant impact on our lives and the world around us.

Weight: 940g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032392646