Название: Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples
Автор: Vikas Garg, Richa Goel, Pooja Tiwari
Издательство: CRC Press
Год: 2024
Страниц: 325
Язык: английский
Формат: pdf (true)
Размер: 35.6 MB

The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place, which makes it unique and important for the potential reader.

Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process.

Covering topics that include examination of Artificial Intelligence applications of enterprises in terms of sustainability in the marketing, sustainable green fashion industry, e-​commerce industry, banking services, HRM, Artificial Intelligence models in pattern recognition, concepts challenges and applications, agricultural sector, sustainable education, workforce analytics, talent management, fraud detection, cyber security will have the potential to contribute to sustainability in two ways: directly by making certain processes more sustainable, and indirectly by encouraging people to live more environmentally friendly lives.

Chapter 1 discusses the examination of Artificial Intelligence applications in enterprises and their market sustainability. It is important for businesses to follow the developing technologies to survive. They also need to integrate these innovations into their own systems. No expense should be spared to win in the sectoral struggle, which takes place in an intensely competitive environment and continues under difficult conditions. This is essential for enterprises to survive and be sustainable.

Chapter 2 deals with Artificial Intelligence models in pattern recognition, concepts challenges, and applications. Pattern recognition is a complicated process that involves analyzing the data that is being inputted, removing patterns from the data, attempting to compare the patterns to specific standards, and then employing the findings to guide the actions that the system will take in the future. Developing a pattern recognizer that any machine can utilize has been the subject of investigation for about a decade. On the other hand, Artificial Intelligence (AI) is promising as an effective alternative to traditional modelling methods. Moreover, AI-​based solutions are viable options for determining engineering design variables when testing is impossible, resulting in substantial savings in human time and testing effort. AI can also expedite decision-​making, minimize errors, and boost computational effectiveness. As a result, AI and patten recognition have recently attracted a lot of interest and are emerging as a new category of intelligent structural engineering solutions.

This handbook will provide insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and Computer Science communities.




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