Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 2, 2024
Language: Английский
Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 2, 2024
Language: Английский
Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115614 - 115614
Published: Jan. 1, 2025
Language: Английский
Citations
2Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2025, Volume and Issue: unknown, P. 136352 - 136352
Published: Feb. 1, 2025
Language: Английский
Citations
1Chemometrics and Intelligent Laboratory Systems, Journal Year: 2025, Volume and Issue: unknown, P. 105377 - 105377
Published: March 1, 2025
Language: Английский
Citations
1Process Biochemistry, Journal Year: 2024, Volume and Issue: 147, P. 476 - 488
Published: Oct. 23, 2024
Language: Английский
Citations
8Water, Journal Year: 2024, Volume and Issue: 16(23), P. 3380 - 3380
Published: Nov. 24, 2024
This study presents an innovative approach utilizing artificial intelligence (AI) for the prediction and classification of water quality parameters based on physico-chemical measurements. The primary objective was to enhance accuracy, speed, accessibility monitoring. Data collected from various samples in Algeria were analyzed determine key such as conductivity, turbidity, pH, total dissolved solids (TDS). These measurements integrated into deep neural networks (DNNs) predict indices sodium adsorption ratio (SAR), magnesium hazard (MH), percentage (SP), Kelley’s (KR), potential salinity (PS), exchangeable (ESP), well Water Quality Index (WQI) Irrigation (IWQI). DNNs model, optimized through selection activation functions hidden layers, demonstrated high precision, with a correlation coefficient (R) 0.9994 low root mean square error (RMSE) 0.0020. AI-driven methodology significantly reduces reliance traditional laboratory analyses, offering real-time assessments that are adaptable local conditions environmentally sustainable. provides practical solution resource managers, particularly resource-limited regions, efficiently monitor make informed decisions public health agricultural applications.
Language: Английский
Citations
7Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 207, P. 192 - 208
Published: June 1, 2024
Language: Английский
Citations
6Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 413, P. 125951 - 125951
Published: Sept. 12, 2024
Language: Английский
Citations
5Desalination and Water Treatment, Journal Year: 2025, Volume and Issue: unknown, P. 100998 - 100998
Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Molecular Liquids, Journal Year: 2025, Volume and Issue: unknown, P. 127003 - 127003
Published: Jan. 1, 2025
Language: Английский
Citations
0Biomass Conversion and Biorefinery, Journal Year: 2025, Volume and Issue: unknown
Published: March 13, 2025
Language: Английский
Citations
0