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. Multidimensional controlling properties of biofabricated silver-nanoparticles on different mosquito species 2. Machine learningeenabled cognitive approaches for handling IoT-based environmental data 3. Evolution of sustainable environment: a cognitive outlook 4. Application of nanotechnology in pesticides adsorption with statistical optimization and modeling 5. Sustainability issues in upcoming wastewater treatment plants at Patna 6. Community approach toward disaster resilience 7. ZnO nanoparticles: a facile synthesized agent for removing dye from aqueous solution in an ecofriendly way 8. Optimization of rural indoor kitchen structure and minimizing the pollution load: a sustainable environmental modeling approach 9. IoT-based health care data analytical paradigm using blockchain technology 10. Environmental pain with human beauty: emerging environmental hazards attributed to cosmetic ingredients and packaging 11. Indian rural housing: an approach toward sustainability