Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood.
The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers.
1. Cover image - p. Cover 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Dedication - p. iii 6. Contributors - p. iii 7. Preface - p. iii 8. List of Illustrations - p. iii 9. List of Tables - p. iii 10. Chapter 1: Multidimensional controlling properties of biofabricated silver-nanoparticles on different mosquito species - p. iii 11. Chapter 2: Machine learning–enabled cognitive approaches for handling IoT-based environmental data - p. iii 12. Chapter 3: Evolution of sustainable environment: a cognitive outlook - p. iii 13. Chapter 4: Application of nanotechnology in pesticides adsorption with statistical optimization and modeling - p. iii 14. Chapter 5: Sustainability issues in upcoming wastewater treatment plants at Patna - p. iii 15. Chapter 6: Community approach toward disaster resilience - p. iii 16. Chapter 7: ZnO nanoparticles: a facile synthesized agent for removing dye from aqueous solution in an ecofriendly way - p. iii 17. Chapter 8: Optimization of rural indoor kitchen structure and minimizing the pollution load: a sustainable environmental modeling approach - p. iii 18. Chapter 9: IoT-based health care data analytical paradigm using blockchain technology - p. iii 19. Chapter 10: Environmental pain with human beauty: emerging environmental hazards attributed to cosmetic ingredients and packaging - p. iii 20. Chapter 11: Indian rural housing: an approach toward sustainability - p. iii 21. Index - p. iii
Cognitive Models for Sustainable Environment reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, along with a review of intelligent and cognitive tools that can be used. The book is centered on evolving novel intelligent/cognitive models and algorithms to develop sustainable solutions for the mitigation of environmental pollution. It unveils intelligent and cognitive models to address issues related to the effective monitoring of environmental pollution and sustainable environmental design. As such, the book focuses on the overall well-being of the global environment for better sustenance and livelihood.
The book covers novel cognitive models for effective environmental pollution data management at par with the standards laid down by the World Health Organization. Every chapter is supported by real-life case studies, illustrative examples and video demonstrations that enlighten readers.
1. Cover image - p. Cover 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Dedication - p. iii 6. Contributors - p. iii 7. Preface - p. iii 8. List of Illustrations - p. iii 9. List of Tables - p. iii 10. Chapter 1: Multidimensional controlling properties of biofabricated silver-nanoparticles on different mosquito species - p. iii 11. Chapter 2: Machine learning–enabled cognitive approaches for handling IoT-based environmental data - p. iii 12. Chapter 3: Evolution of sustainable environment: a cognitive outlook - p. iii 13. Chapter 4: Application of nanotechnology in pesticides adsorption with statistical optimization and modeling - p. iii 14. Chapter 5: Sustainability issues in upcoming wastewater treatment plants at Patna - p. iii 15. Chapter 6: Community approach toward disaster resilience - p. iii 16. Chapter 7: ZnO nanoparticles: a facile synthesized agent for removing dye from aqueous solution in an ecofriendly way - p. iii 17. Chapter 8: Optimization of rural indoor kitchen structure and minimizing the pollution load: a sustainable environmental modeling approach - p. iii 18. Chapter 9: IoT-based health care data analytical paradigm using blockchain technology - p. iii 19. Chapter 10: Environmental pain with human beauty: emerging environmental hazards attributed to cosmetic ingredients and packaging - p. iii 20. Chapter 11: Indian rural housing: an approach toward sustainability - p. iii 21. Index - p. iii
