Intelligent Environmental Data Monitoring for Pollution Management
portes grátis
Intelligent Environmental Data Monitoring for Pollution Management
; ; ; ;
Elsevier Science Publishing Co Inc
10/2020
344
Mole
Inglês
9780128196717
15 a 20 dias
770
Descrição não disponível.
1. Batch Adsorption Process in Water Treatment 2. Removal of heavy metals from industrial effluents by using Biochar 3. Nanoparticles: A new tool for control of mosquito larvae 4. Biosorption driven green technology for the treatment of heavy metal (loids) contaminated effluents 5. A Comprehensive Review of Glyphosate Adsorption with Factors Influencing Mechanism: Kinetics, Isotherms, Thermodynamics Study 6. Dyes and their removal technologies from wastewater 7. An Intelligent Estimation Model for Water Quality Parameters Assesment at Periyakulam Lake, South India 8. Recent Trends in Air Quality Prediction: An Artificial Intelligence Perspective 9. Optimisation of absorption process for exclusion of Carbaryl from aqueous environment using natural adsorbents 10. Artificial Neural Network: An Alternative Approach for Assessment of Biochemical Oxygen Demand of the Damodar River, West Bengal, India 11. Co-design to improve IAQ awareness in classrooms 12. Data Perspective on Environmental Mobile Crowd Sensing 13. A Survey of Adsorption Process Parameter Optimization related to Degradation of Environmental Pollutants
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Adsorbent materials; Adsorption; Adsorption isotherm; Air pollution; Air quality; ANN; Artificial intelligence; Artificial neural network; Awareness; Batch process; Big data framework; Bioabsorbent; Biochar; Biochemical oxygen demand; Biological treatment; Biologically; Biosorption; Box and Behnken design (BBD); Carbaryl; Central composite design (CCD); Chloride; Classroom; CO2; Data management; Data mining; Deep learning; Dye; Electrical conductivity, Turbidity; Environmental sensing; Estimation model; Exposure analysis; Free energy; Glyphosate; Heavy metal(loid); Heavy metals; IAQ; Indoor air quality; Industrial effluent; Industrial wastewater; Isotherms; Kalman filter; Kinetics; Larvicidal; Microorganisms; Mobile crowd sensing; Mosquito; Nanoparticles; Nanotechnology-based treatment; Neural networks; Neurofuzzy network; Participatory design; Path analysis; Physico-chemical treatment; Prediction methods; Prediction model; Primary school; Removal; Removal percentage; Response surface methodology (RSM); River Damodar; RSM; Scalability; Synergistic fibroblast optimization (SFO); Thermodynamics; Toxicity of dyes; Ukkadam Periyakulam Lake; User interface; Ventilation; VOC; Wastewater; Water quality parameter; Water quality parameters
1. Batch Adsorption Process in Water Treatment 2. Removal of heavy metals from industrial effluents by using Biochar 3. Nanoparticles: A new tool for control of mosquito larvae 4. Biosorption driven green technology for the treatment of heavy metal (loids) contaminated effluents 5. A Comprehensive Review of Glyphosate Adsorption with Factors Influencing Mechanism: Kinetics, Isotherms, Thermodynamics Study 6. Dyes and their removal technologies from wastewater 7. An Intelligent Estimation Model for Water Quality Parameters Assesment at Periyakulam Lake, South India 8. Recent Trends in Air Quality Prediction: An Artificial Intelligence Perspective 9. Optimisation of absorption process for exclusion of Carbaryl from aqueous environment using natural adsorbents 10. Artificial Neural Network: An Alternative Approach for Assessment of Biochemical Oxygen Demand of the Damodar River, West Bengal, India 11. Co-design to improve IAQ awareness in classrooms 12. Data Perspective on Environmental Mobile Crowd Sensing 13. A Survey of Adsorption Process Parameter Optimization related to Degradation of Environmental Pollutants
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Adsorbent materials; Adsorption; Adsorption isotherm; Air pollution; Air quality; ANN; Artificial intelligence; Artificial neural network; Awareness; Batch process; Big data framework; Bioabsorbent; Biochar; Biochemical oxygen demand; Biological treatment; Biologically; Biosorption; Box and Behnken design (BBD); Carbaryl; Central composite design (CCD); Chloride; Classroom; CO2; Data management; Data mining; Deep learning; Dye; Electrical conductivity, Turbidity; Environmental sensing; Estimation model; Exposure analysis; Free energy; Glyphosate; Heavy metal(loid); Heavy metals; IAQ; Indoor air quality; Industrial effluent; Industrial wastewater; Isotherms; Kalman filter; Kinetics; Larvicidal; Microorganisms; Mobile crowd sensing; Mosquito; Nanoparticles; Nanotechnology-based treatment; Neural networks; Neurofuzzy network; Participatory design; Path analysis; Physico-chemical treatment; Prediction methods; Prediction model; Primary school; Removal; Removal percentage; Response surface methodology (RSM); River Damodar; RSM; Scalability; Synergistic fibroblast optimization (SFO); Thermodynamics; Toxicity of dyes; Ukkadam Periyakulam Lake; User interface; Ventilation; VOC; Wastewater; Water quality parameter; Water quality parameters
