Cognitive Data Models for Sustainable Environment: Cognitive Data Science in Sustainable Computing
Editat de Siddhartha Bhattacharyya, Naba Kumar Mondal, Koushik Mondal, Jyoti Prakash Singh, Kolla Bhanu Prakashen Limba Engleză Paperback – 21 sep 2021
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.
- Explores the development and application of science, engineering and technology in achieving a sustainable lifestyle for humanity
- Provides tools, connections and proactive solutions to take sustainability programs to the next level
- Offers perspectives for design, development and commissioning of intelligent applications
- Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies of monitoring and mitigation of environmental pollution
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Specificații
ISBN-13: 9780128240380
ISBN-10: 0128240385
Pagini: 316
Dimensiuni: 152 x 229 mm
Greutate: 0.43 kg
Editura: ELSEVIER SCIENCE
Seria Cognitive Data Science in Sustainable Computing
ISBN-10: 0128240385
Pagini: 316
Dimensiuni: 152 x 229 mm
Greutate: 0.43 kg
Editura: ELSEVIER SCIENCE
Seria Cognitive Data Science in Sustainable Computing
Public țintă
Primary: Graduate level students, Research, Instructors in Computer Science who are interested in developing cognitive solutions for the glaring problems of environmental pollution.Secondary: Environmental science researchers.
Cuprins
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