Mathematical Computing and Sustainability
Predictive Modeling and Ramifications of Intelligent Systems
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Mathematical Computing and Sustainability
Predictive Modeling and Ramifications of Intelligent Systems
About this book
The book is likely intended to provide a thorough knowledge of the complex relationships between computational intelligence, mathematical computing, and sustainability. By taking an interdisciplinary approach, the author may strive to connect theoretical frameworks with practical applications, providing readers with a road map for navigating the intricacies of addressing long-term difficulties. The book could use case studies and examples to demonstrate how cutting-edge technologies and mathematical models can be used to analyse and solve real-world sustainability problems, ultimately encouraging a holistic approach that fosters innovative solutions based on computational and mathematical principles.
This book is planned to cover the comprehensive investigation into the synergies between Computational Intelligence (CI), Mathematical Computing, and Sustainability. An examination of the possible impact of intelligent systems on sustainability, new concepts and approaches for incorporating CI and mathematical computing into sustainable practices etc. There will be chapters explaining the Exploration of upcoming technologies (e.g., quantum computing, bio-inspired computing) and their potential role in promoting sustainability.
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Information
Table of contents
- Title Page
- Copyright
- Contents
- Frontmatter
- Contents
- List of contributors
- 1âLeveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases
- 2âDigital dawn: how immersive technologies are shaping a sustainable future
- 3âSustainable intelligence: ethical issues in the evolution of intelligent systems
- 4âEnergy sustainability and computational intelligence based routing protocols in WSN: an analytical survey
- 5âHarnessing the metaverse for healthcare innovation: exploring predictive analytics and AI-driven personalization
- 6âToward a sustainable future: a computational intelligence fusion framework of color and darknet features for the classification of crop leaf diseases
- 7âSustainable computing approaches for complex medical image analysis: a neurodiagnostic perspective
- 8âSustainability with artificial intelligence: obstacles, opportunities, and research agenda
- 9âSmart solutions to a sustainable future
- 10âEthical issues in intelligent systems for sustainability
- 11âCPS: cyber-physical system security for the Industrial Internet of Things in smart grid
- 12âIntegrating mathematical computing and deep learning for efficient monkeypox skin lesion detection: A pathway to sustainable health solutions
- 13âLeveraging heuristics based on CK Metrics Suite for quality enhancement in sustainable quantum software development
- 14âIntelligent systems for fire management and sustainability
- 15âTransparent and sustainable AI for brain tumor detection: from conventional to hybrid models in predictive healthcare
- Index
- Index