
Intelligent Computing and Optimization for Sustainable Development
- 304 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Intelligent Computing and Optimization for Sustainable Development
About this book
This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems.
Features:
- Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries
- Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions
- Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems
- Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field
This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.
The Open Access version of this book, available at http://www.taylorfrancis.com, has
been made available under a Creative Commons [Attribution-Non Commercial-No
Derivatives (CC BY-NC-ND)] 4.0 license.
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Information
Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- List of Contributors
- 1 A Journey to Computational Intelligence in Sustainable Development
- 2 Businesses Combining Artificial Intelligence Concentrating on Sustainable Development Goals: A Win-Win Situation
- 3 Deep Neural Networks (DNNs) for Sustainable Development in Smart City
- 4 Digital Task Optimisation with Resource Allocation in Business Process Management Using Machine Learning Model
- 5 Design of an Efficient Multimodal Deep Learning Framework for Assessing Mental Workload Using Eye Tracking and Physiological Parameters
- 6 Deep Learning in Smart Manufacturing: Advancements, Applications, and Challenges
- 7 Fuzzy Optimization Techniques in Agricultural Field Using Supply Chain Management
- 8 Computational Intelligence Techniques for Banking and Financial Sectors
- 9 Smart Computing for Green Sustainability
- 10 Sustainable Manufacturing for Industry 4.0: Navigating the Path to Environmental Responsibility
- 11 Blockchain Technology for Agriculture Supply Chain Management
- 12 Computational Intelligence for Biodiversity Conversation
- 13 Sailing the Waves of Sustainable Entrepreneurship: Unveiling the Moderator Role of Technological Adoption in SMEs Innovation
- 14 Robotic Process Automation: The Tangible and Human Shift in Business Process Efficiency
- Index