127 results on '"Abba, Sani I."'
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2. Synthesis of Hierarchical 2D Fe2TiO5 Nanosheets for Efficient and Stable Visible Light CO2 Conversion to Solar Fuels
3. Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia
4. Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization
5. Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithms
6. Food, energy, and water security sustainability; an asymmetric approach for achieving sustainable development goals
7. Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia
8. New strategy based on Hammerstein–Wiener and supervised machine learning for identification of treated wastewater salinization in Al-Hassa region, Saudi Arabia
9. Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
10. New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition
11. Effective design of sustainable energy productivity based on the experimental investigation of the humidification-dehumidification-desalination system using hybrid optimization
12. Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms
13. Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 and Russia–Ukraine war dynamics
14. Investigating the influence of erratic grid on stationary battery energy storage technologies in hybrid power systems: Techno-environ-economic perspectives
15. Estimating the effect of sand-roughened bed on hydraulic jump characteristics using heuristic models
16. Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
17. Machine learning insight into inhibition efficiency modelling based on modified graphene oxide of diaminohexane (DAH-GO) and diaminooctane (DAO-GO)
18. Air gap membrane distillation unit operated by thermoelectric module
19. Constructing type II heterojunction of 2D/1D Pg-C3N4/Ag3VO4 nanocomposite with high interfacial charge separation for boosting photocatalytic CO2 reduction under solar energy
20. Green kaolin-tailored hydrophobic composite membrane for efficient desalination of high-salinity water
21. Bio-inspired MXene membranes for enhanced separation and anti-fouling in oil-in-water emulsions: SHAP explainability ML
22. Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module design of water desalination system
23. MXene-enhanced sulfonated TFN nanofiltration membranes for improved desalination performance
24. Insight into soft chemometric computational learning for modelling oily-wastewater separation efficiency and permeate flux of polypyrrole-decorated ceramic-polymeric membranes
25. Experimental-based groundwater salinization from the carbonate aquifer of eastern Saudi Arabia: Insight into machine learning coupled with meta-heuristic algorithms
26. Characterizing seasonal, environmental and human-induced factors influencing the dynamics of Rispana River's water quality: Implications for sustainable river management
27. Tailoring thin film composite membranes for clean water production: A study on structural variations and predictive insights using machine learning
28. Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization
29. Evaluating nano-metal oxide mixed matrix membranes for whey protein separation using hybrid intelligent optimization learning
30. Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants
31. Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study
32. Heavy metals prediction in coastal marine sediments using hybridized machine learning models with metaheuristic optimization algorithm
33. Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
34. Implication of novel hybrid machine learning model for flood subsidence susceptibility mapping: A representative case study in Saudi Arabia
35. Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia
36. GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
37. Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model
38. Development of hybrid computational data-intelligence model for flowing bottom-hole pressure of oil wells: New strategy for oil reservoir management and monitoring
39. Evaluation of NASA POWER and ERA5-Land for estimating tropical precipitation and temperature extremes
40. Evidential Neural Network Model for Groundwater Salinization Simulation: A First Application in Hydro-Environmental Engineering.
41. Toward Decontamination in Coastal Regions: Groundwater Quality, Fluoride, Nitrate, and Human Health Risk Assessments within Multi-Aquifer Al-Hassa, Saudi Arabia
42. Toward Contamination in Coastal Regions for Groundwater Quality, Fluoride, Nitrate and Human Health Risk Assessments Within Multi-aquifer Al-Hassa, Saudi Arabia
43. HERisk and statistical clustering integrated for health risk modelling of PTEs in natural water resources for drinking and sanitary uses.
44. Enhancing Li+ recovery in brine mining: integrating next-gen emotional AI and explainable ML to predict adsorption energy in crown ether-based hierarchical nanomaterials
45. Recovery of Brine Resources Through Crown-Passivated Graphene, Silicene, and Boron Nitride Nanosheets Based on Machine-Learning Structural Predictions
46. Enhancing Li+ recovery in brine mining: integrating next-gen emotional AI and explainable ML to predict adsorption energy in crown ether-based hierarchical nanomaterials.
47. Predicting micropollutant removal through nanopore-sized membranes using several machine-learning approaches based on feature engineering.
48. Design and Machine Learning Prediction of In Situ Grown PDA-Stabilized MOF (UiO-66-NH2) Membrane for Low-Pressure Separation of Emulsified Oily Wastewater.
49. Investigation of Causes and Characteristics of Monsoon Extremes in Pakistan: A Case Study for Summer Monsoon 2022
50. Flood Risk and Vulnerability from a Changing Climate Perspective: An Overview Focusing on Flash Floods and Associated Hazards in Jeddah
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