Artificial Intelligence and Data Science in Environmental Sensing
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portes grátis
Artificial Intelligence and Data Science in Environmental Sensing
Razmjou, Amir; Beheshti, Amin; Asadnia, Mohsen
Elsevier Science & Technology
02/2022
324
Mole
Inglês
9780323905084
15 a 20 dias
540
Descrição não disponível.
1. Smart sensing technologies for wastewater treatment plants 2. Recent advancement in antennas for environmental sensing 3. Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport 4. Language of Response Surface Methodology (RSM) as an experimental strategy for electrochemical wastewater treatment process optimization 5. Artificial intelligence and sustainability: Solutions to social and environmental challenges 6. Application of multi attribute decision making tools for site analysis of offshore wind turbines 7. Recent Advances of Image Processing Techniques in Agriculture 8. Applications of Swarm Intelligence in Environmental Sensing 9. Machine learning applications for developing sustainable construction materials 10. The AI-assisted removal process of contaminants in the aquatic environment 11. Recent progress in biosensors and data processing systems for wastewater monitoring and surveillance 12. Machine learning in surface plasmon resonance for environmental monitoring
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
3D monitoring; Active/sustainable/smart transport; Agricultural parameters; Artificial intelligence (AI)Disinfection by-products (DPBs)Endocrine-disrupting chemicals/pharmaceuticals; Artificial intelligence; Behavior change; Bootstrapping swarm behavior; Box-Behnken design; Bushfire management; Cement; Central composite design; Climate change; Construction materials; Coverage algorithms; Electrocoagulation; Electro-Fenton; Electro-oxidation; Environmental monitoring; Environmental sensing; Environmental sustainability; Fruits and plants identification; Geo-sensing; Image processing; Livestock detection; Low emission; Machine learning; Mathematical programming; Mechanical properties; Multicriteria; Multiobjective; Optimization methods; Optimization; Per- and polyfluoroalkyl substances (PFAS)Sensors; Renewable energy; Site selection; Surface plasmon resonance; Sustainable; Swarm robots; Treatment plants; Vehicular emissions; Wastewater treatment; Wind turbines
1. Smart sensing technologies for wastewater treatment plants 2. Recent advancement in antennas for environmental sensing 3. Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport 4. Language of Response Surface Methodology (RSM) as an experimental strategy for electrochemical wastewater treatment process optimization 5. Artificial intelligence and sustainability: Solutions to social and environmental challenges 6. Application of multi attribute decision making tools for site analysis of offshore wind turbines 7. Recent Advances of Image Processing Techniques in Agriculture 8. Applications of Swarm Intelligence in Environmental Sensing 9. Machine learning applications for developing sustainable construction materials 10. The AI-assisted removal process of contaminants in the aquatic environment 11. Recent progress in biosensors and data processing systems for wastewater monitoring and surveillance 12. Machine learning in surface plasmon resonance for environmental monitoring
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
3D monitoring; Active/sustainable/smart transport; Agricultural parameters; Artificial intelligence (AI)Disinfection by-products (DPBs)Endocrine-disrupting chemicals/pharmaceuticals; Artificial intelligence; Behavior change; Bootstrapping swarm behavior; Box-Behnken design; Bushfire management; Cement; Central composite design; Climate change; Construction materials; Coverage algorithms; Electrocoagulation; Electro-Fenton; Electro-oxidation; Environmental monitoring; Environmental sensing; Environmental sustainability; Fruits and plants identification; Geo-sensing; Image processing; Livestock detection; Low emission; Machine learning; Mathematical programming; Mechanical properties; Multicriteria; Multiobjective; Optimization methods; Optimization; Per- and polyfluoroalkyl substances (PFAS)Sensors; Renewable energy; Site selection; Surface plasmon resonance; Sustainable; Swarm robots; Treatment plants; Vehicular emissions; Wastewater treatment; Wind turbines
