Ali Najah Ahmed
Biographic Data
| ID | 7564363 |
|---|---|
| NAME | Ali Najah Ahmed |
| GIVEN NAMES | Ali Najah |
| FAMILY NAME | Ahmed |
| SIGNATURE | AHMED A N |
| AFFILIATIONS | Universiti Tenaga Nasional |
| ORCID | 0000-0002-5618-6663 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The benefits and perspectives of the palm oil industry in Malaysia
Optimal operation of hydropower reservoirs under climate change
Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia
A review of deep learning and machine learning techniques for hydrological inflow forecasting
Evaluating different machine learning models for predicting municipal solid waste generation
Hydrological Analysis of Batu Dam, Malaysia in the Urban Area
Extensive hydrological analysis is carried out to estimate floods for the Batu Dam, a hydropower dam located in the urban area upstream of Kuala Lumpur, Malaysia. The study demonstrates the operational state and reliability of the dam structure based on hydrologic assessment of the dam. The surrounding area is affected by heavy rainfall and climate change every year, which increases the probability of flooding and threatens a dense population dow…
No prominent works on this page.
Hydrological Analysis of Batu Dam, Malaysia in the Urban Area
Extensive hydrological analysis is carried out to estimate floods for the Batu Dam, a hydropower dam located in the urban area upstream of Kuala Lumpur, Malaysia. The study demonstrates the operational state and reliability of the dam structure based on hydrologic assessment of the dam. The surrounding area is affected by heavy rainfall and climate change every year, which increases the probability of flooding and threatens a dense population dow…
Optimal operation of hydropower reservoirs under climate change
Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia
A review of deep learning and machine learning techniques for hydrological inflow forecasting
Evaluating different machine learning models for predicting municipal solid waste generation
The benefits and perspectives of the palm oil industry in Malaysia
Computer Science (4 works) · Engineering (4 works) · Geography (4 works) · Hydrology and Watershed Management Studies (4 works) · Environmental Science (3 works) · Flood Risk Assessment and Management (3 works) · Inflow (3 works) · Machine learning (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works)