86 results on '"Ahmed, Ali Najah"'
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2. Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia
3. Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
4. An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers
5. Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia
6. Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia
7. Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
8. Correction: Smart system for water quality monitoring utilizing long-range-based Internet of Things
9. The benefits and perspectives of the palm oil industry in Malaysia
10. Smart system for water quality monitoring utilizing long-range-based Internet of Things
11. Correction: Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia
12. A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate
13. Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications
14. A review of deep learning and machine learning techniques for hydrological inflow forecasting
15. Optimal operation of hydropower reservoirs under climate change
16. Predicting Sea Level Rise Using Artificial Intelligence: A Review
17. Rainfall modeling using two different neural networks improved by metaheuristic algorithms
18. Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes
19. Streamflow classification by employing various machine learning models for peninsular Malaysia
20. Operational blue water footprint and water deficit assessment of coal-fired power plants: case study in Malaysia
21. Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
22. Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall
23. Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
24. Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
25. Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management
26. Integrated nonlinear autoregressive neural network and Holt winters exponential smoothing for river streaming flow forecasting at Aswan High
27. Space–time heterogeneity of drought characteristics in Sabah and Sarawak, East Malaysia: implications for developing effective drought monitoring and mitigation strategies
28. Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia
29. Separation and attribution of impacts of changes in land use and climate on hydrological processes
30. Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques
31. Rainfall prediction using multiple inclusive models and large climate indices
32. Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
33. Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates
34. Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review
35. Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches
36. An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models
37. Sediment load prediction in Johor river: deep learning versus machine learning models
38. A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
39. Groundwater level prediction using machine learning algorithms in a drought-prone area
40. Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts
41. Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
42. Rainfall Variability Index (RVI) analysis of dry spells in Malaysia
43. Applications of Data-driven Models for Daily Discharge Estimation Based on Different Input Combinations
44. A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia
45. Development of inundation maps along East Coast of Peninsular Malaysia due to predicted seaquake from Manila Trench
46. A novel application of transformer neural network (TNN) for estimating pan evaporation rate
47. Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
48. River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network
49. Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
50. Predicting compressive strength of high-performance concrete with high volume ground granulated blast-furnace slag replacement using boosting machine learning algorithms
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