[1]
|
Reinforcement learning-based DSS for coagulant and disinfectant dosage selection on drinking water treatment plants
Water Supply,
2024
DOI:10.2166/ws.2023.328
|
|
|
[2]
|
Microbial Biotechnology in the Food Industry
2024
DOI:10.1007/978-3-031-51417-3_14
|
|
|
[3]
|
A Comprehensive Review on Modification of Titanium Dioxide‐Based Catalysts in Advanced Oxidation Processes for Water Treatment
ChemSusChem,
2024
DOI:10.1002/cssc.202301139
|
|
|
[4]
|
Proceedings of the 3rd International Conference on Water Energy Food and Sustainability (ICoWEFS 2023)
Springer Proceedings in Earth and Environmental Sciences,
2024
DOI:10.1007/978-3-031-48532-9_60
|
|
|
[5]
|
Proceedings of the 3rd International Conference on Water Energy Food and Sustainability (ICoWEFS 2023)
Springer Proceedings in Earth and Environmental Sciences,
2024
DOI:10.1007/978-3-031-48532-9_60
|
|
|
[6]
|
Water treatment: Aluminum sulfate, polymer, and activated carbon between efficacy and overdosing. Case of Oum Er-Rbia River, Morocco
Desalination and Water Treatment,
2024
DOI:10.1016/j.dwt.2024.100273
|
|
|
[7]
|
Waterborne Cryptosporidium species and Giardia duodenalis in resources of MENA: A systematic review and meta-analysis
Journal of Water and Health,
2024
DOI:10.2166/wh.2024.107
|
|
|
[8]
|
Using the Flocculation Index to optimise coagulant dosing during drinking water treatment
Journal of Water Process Engineering,
2023
DOI:10.1016/j.jwpe.2022.103394
|
|
|
[9]
|
Using the Flocculation Index to optimise coagulant dosing during drinking water treatment
Journal of Water Process Engineering,
2023
DOI:10.1016/j.jwpe.2022.103394
|
|
|
[10]
|
Explainable deep learning model for membrane capacitive deionization operated under fouling conditions
Desalination,
2023
DOI:10.1016/j.desal.2023.116676
|
|
|
[11]
|
A comparative study of gradient descent and stochastic gradient descent method for optimization
1ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL APPLIED SCIENCES & IT’S APPLICATIONS,
2023
DOI:10.1063/5.0148736
|
|
|
[12]
|
Explainable deep learning model for membrane capacitive deionization operated under fouling conditions
Desalination,
2023
DOI:10.1016/j.desal.2023.116676
|
|
|
[13]
|
Statistical analysis for remediation of As(III) ions from water using pristine and derivatized Phyllanthus emblica seed coat
Water Practice & Technology,
2023
DOI:10.2166/wpt.2023.165
|
|
|
[14]
|
Assessment of Environmental Health Risks Associated with Chemical Content of Drinking Water for Workers in the Copper and Gold Mineral Ore Processing Industry
E3S Web of Conferences,
2023
DOI:10.1051/e3sconf/202344803001
|
|
|
[15]
|
Assessing the Efficiency of a Drinking Water Treatment Plant Using Statistical Methods and Quality Indices
Toxics,
2023
DOI:10.3390/toxics11120988
|
|
|
[16]
|
Technological modeling of physicochemical removal of iron from deep groundwater
Heliyon,
2023
DOI:10.1016/j.heliyon.2023.e20202
|
|
|
[17]
|
Advances in Construction Safety
2023
DOI:10.1007/978-981-19-4001-9_8
|
|
|
[18]
|
Hydrodynamic evaluation of a filter bed of porous material from stratified sedimentary rocks for the removal of turbidity in surface waters
South African Journal of Chemical Engineering,
2022
DOI:10.1016/j.sajce.2021.10.002
|
|
|
[19]
|
Residues of endocrine-disrupting PCBs in drinking water - influence of water and wastewater treatment in Szczecin (Poland)
Urban Water Journal,
2022
DOI:10.1080/1573062X.2022.2059381
|
|
|
[20]
|
Selective Oxidation of Cellulose—A Multitask Platform with Significant Environmental Impact
Materials,
2022
DOI:10.3390/ma15145076
|
|
|
[21]
|
Intelligent Techniques for Efficient Use of Valuable Resources
Intelligent Systems Reference Library,
2022
DOI:10.1007/978-3-031-09928-1_9
|
|
|
[22]
|
Optimizing coagulation–flocculation processes with aluminium coagulation using response surface methods
Applied Water Science,
2022
DOI:10.1007/s13201-022-01708-1
|
|
|
[23]
|
Selective Oxidation of Cellulose—A Multitask Platform with Significant Environmental Impact
Materials,
2022
DOI:10.3390/ma15145076
|
|
|
[24]
|
Water quality analysis and purification through nanomembrane
Materials Today: Proceedings,
2021
DOI:10.1016/j.matpr.2020.06.435
|
|
|
[25]
|
Water quality analysis and purification through nanomembrane
Materials Today: Proceedings,
2021
DOI:10.1016/j.matpr.2020.06.435
|
|
|
[26]
|
The Effect of Water and Sewage Treatment on Reducing Residues of Selected Organochlorine Pesticides in Szczecin (Poland)
Water, Air, & Soil Pollution,
2021
DOI:10.1007/s11270-021-05261-6
|
|
|
[27]
|
Optimization of water treatment process performance of Duren Seribu Water Treatment Plant in Depok City: water quality and design parameters
IOP Conference Series: Earth and Environmental Science,
2021
DOI:10.1088/1755-1315/896/1/012039
|
|
|
[28]
|
Optimisation of degreemont water treatment package on Kedung Halang water treatment plant, Bogor, West Java
IOP Conference Series: Earth and Environmental Science,
2021
DOI:10.1088/1755-1315/894/1/012018
|
|
|
[29]
|
Efficacy of a natural coagulant protein from Moringa oleifera (Lam) seeds in treatment of Opa reservoir water, Ile-Ife, Nigeria
Heliyon,
2020
DOI:10.1016/j.heliyon.2020.e03335
|
|
|
[30]
|
A review article on water purification techniques by using fiber composites and biodegradable polymers
ADVANCES IN MECHANICAL DESIGN, MATERIALS AND MANUFACTURE: Proceeding of the Second International Conference on Design, Materials and Manufacture (ICDEM 2019),
2020
DOI:10.1063/5.0004069
|
|
|
[31]
|
A STUDY ON OPTIMIZATION OF WATER TREATMENT PLANT DESIGN
FOR EFFICIENT REMOVAL OF SUSPENDED SOLIDS
i-manager's Journal on Structural Engineering,
2020
DOI:10.26634/jste.8.4.16719
|
|
|
[32]
|
Study of coagulating/flocculating characteristics of organic polymers extracted from biowaste for water treatment
Ingeniería e Investigación,
2019
DOI:10.15446/ing.investig.v39n1.69703
|
|
|
[33]
|
Bioremediation of organic dyes using combination of plants ash
Foods and Raw Materials,
2019
DOI:10.21603/2308-4057-2019-2-240-246
|
|
|
[34]
|
Bioremediation of organic dyes using combination of plants ash
Foods and Raw Materials,
2019
DOI:10.21603/2308-4057-2019-1-240-246
|
|
|
[35]
|
Modelo de predição de desempenho de estações de tratamento de água de pequeno
porte usando redes neurais artificiais
Revista DAE,
2019
DOI:10.36659/dae.2020.008
|
|
|
[36]
|
Random forest tree for predicting fecal indicator organisms in drinking water supply
2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC),
2017
DOI:10.1109/BESC.2017.8256398
|
|
|
[37]
|
MANAGING AND MODELING OF THE DRINKING WATER TREATMENT PLANT SLUDGE
International Journal of Research -GRANTHAALAYAH,
2017
DOI:10.29121/granthaalayah.v5.i2.2017.1719
|
|
|