Publications

Scientific Research Articles

1. Latif, S.D.; Ehteram, M.; Ahmed, A.N.; Ling, L.; Fai, C.M.; Afan, H.A.; Banadkooki, F.B.; El-Shafie, A. (2020). Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm. Water. https://doi.org/10.3390/w12030902

2. Latif, S.D.; Lai, V.; Malek, M.A.; Abdullah, S.; Ahmed, A.N. (2020). Time-Series Prediction of Sea Level Change in the East Coast of Peninsular Malaysia from the Supervised Learning Approach. International Journal of Design & Nature and Ecodynamics. https://doi.org/10.18290/ijdne.150314

3. Sarmad Dashti Latif. (2020). Design of Horizontal and Vertical Alignment for the Centerline of a Federal Highway. International Journal of Engineering and Manufacturing (IJEM). https://doi.org/10.5815/ijem.2020.03.03

4. Sarmad Dashti Latif. (2020). Technical Improvement of Air Pollution Through Fossil Power Plant Waste Management. International Journal of Engineering and Manufacturing (IJEM). https://doi.org/10.5815/ijem.2020.04.04

5. Latif, S.D.; Ehteram, M.; Ahmed, A.N.; Huang, Y.F.; Alizamir, M.; Kisi, O.; Mert, C.; El-Shafie, A. (2020). Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-10421-y

6. Latif, S.D.; Ehteram, M.; Yenn, F.; Najah, A.; Feng, Y.; Abozweita, O.; Al-ansari, N.; El-shafie, A. (2020). Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2020.08.019

7. Latif, S.D.; Najah Ahmed, A.; Sherif, M.; Sefelnasr, A.; El-shafie. (2020). A. Reservoir water balance simulation model utilizing machine learning algorithm. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2020.10.057

8. Latif, S.D.; Usman, F.; Pirot, B.M. (2020). Implementation of Value Engineering in Optimizing Project Cost for Sustainable Energy Infrastructure Asset Development. International Journal of Sustainable Development and Planning. https://doi.org/10.18280/ijsdp.150709

9. Latif, S.D.; Azmi, M.S.B.N.; Ahmed, A.N.; Fai, C.M.; El-shafie, A. (2020). Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan. International Journal of Design & Nature and Ecodynamics. https://doi.org/10.18280/ijdne.150505

10. Latif, S.D.; Jumin, E.; Basaruddin, F.B.; Yusoff, Y.B.; Ahmed, A.N. (2021). Solar Radiation Prediction Using Boosted Decision Tree Regression Model: A Case Study in Malaysia. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-021-12435-6

11. Latif, S.D.; Najah, A.; Teo, F.Y; Chow, M.F.; Huang, Y.F.; Abdullah, S.; Ismail, M.; El-Shafie, A. (2021). Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia. International Journal of Environmental Science and Technology.  https://doi.org/10.1007/s13762-021-03139-y

12. Latif, S.D. (2021). Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-021-12877-y

13. Latif, S.D.; Marhain, S. Hossain, S. Najah, A.A.; Sherif, M.; Sefelnasr, A.; El-Shafie. (2021). Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia. Sustainability. https://doi.org/10.3390/su13115900

14. Latif, S.D.; Ahmed, A.N.; Sathiamurthy, E.; Huang, Y.F.; El-Shafie, A. (2021). Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia. Natural Hazards. https://doi.org/10.1007/s11069-021-04839-x

15. Latif, S.D.; Ahmed, A.N. (2021). Application of Deep Learning Method for Daily Streamflow Time-Series Prediction: A Case Study of the Kowmung River at Cedar Ford, Australia. International Journal of Sustainable Development and Planning. https://doi.org/10.18280/ijsdp.160310

16. Latif, S.D.; Parsaie, A.; Haghiabi, A.H.; Tripathi, R.P. (2021). Predictive modelling of piezometric head and seepage discharge in earth dam using soft computational models. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-021-15029-4

17. Sarmad Dashti Latif. (2021). Developing a boosted decision tree regression prediction model as a sustainable tool for compressive strength of environmentally friendly concrete. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-021-15662-z

18. Latif, S.D.; Birima, A.H.; Ahmed. A.N.; Hatem, D.H.; Al-Ansari, N.; Fai, C.M.; El-Shafie, A. (2021). Development of prediction model for phosphate in reservoir water system based machine learning algorithms. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2021.06.009

19. Latif, S.D.; Bazrafshan, O.; Ehteram, M.; Huang, Y.F.; Teo, F.Y.; Ahmed, A.N.; El-Shafie, A. (2022). Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2022.101724

20. Ehteram, M.; Ahmed, A. N.; Fai, C. M.; Latif, S.D.; Chau, K. W.; Kai Lun. (2022). Optimal operation of hydropower reservoirs under climate change. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-022-02497-y

21. Sami, B. F. Z.; Latif, S. D.; Ahmed, A.N.; Chow, M. F.; Murti, M. A.; Suhendi, A.; Sami, B. H. Z.; Wong, J. K.; Birima, A. H.; El-Shafie, A. (2022). Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan. Scientific Reports (nature). https://doi.org/10.1038/s41598-022-06969-z

22. Tofiq, Y. M.; Latif, S. D.: Ahmed, A. N.; Kumar, P.; El-Shafie, A. (2022). Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques. Water Resources Management. https://doi.org/10.1007/s11269-022-03339-2

23. Hama, A. R.; Ghafour, Z.; Al Suhili, R.; Latif, S. D. (2022). Optimization model for cost estimation of decentralized wastewater treatment units. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2022.101751

24. Khomri, Z.; Chabaca, M. N.; Boudibi, S.; Latif, S. D. (2022). Assessment of groundwater vulnerability using remote sensing, susceptibility index, and WetSpass model in an arid region (Biskra, SE Algeria). Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-022-10189-3

25. Nou, M. R. G.; Foroudi, A.; Latif, S. D.; Parsaie, A. (2022). Prognostication of scour around twin and three piers using efficient outlier robust extreme learning machine. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-20681-5

26. https://doi.org/10.1007/s13201-023-01874-w, S. D.; Chong KL; Ahmed. A. N.; Huang, Y. F.; Sherif, M.; El-Shafie, A. (2023). Sediment load prediction in Johor river: deep learning versus machine learning models. Applied Water Science. https://doi.org/10.1007/s13201-023-01874-w

27. Latif. S. D.; Ahmed, A. N. (2023). A review of deep learning and machine learning techniques for hydrological inflow forecasting. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03131-1

28. Latif. S. D.; Ahmed, A. N. (2023). Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management. Water Resources Management. https://doi.org/10.1007/s11269-023-03499-9

29. I Mehdaoui; S Boudibi; SD Latif, B Sakaa; H Chaffai; A Hani. (2023). Prediction of nitrate concentrations using multiple linear regression and radial basis function neural network in the Cheliff River basin, Algeria. Journal of Applied Water Engineering and Research. https://doi.org/10.1080/23249676.2023.2207838

30. A Gharehbaghi; R Ghasemlounia; SD Latif; AH Haghiabi; A Parsaie. (2023). Application of data-driven models to predict the dimensions of flow separation zone. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-27024-y

31. Latif. S. D. (2023). Evaluating deep learning and machine learning algorithms for forecasting daily pan evaporation during COVID-19 pandemic. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03469-6

32. Latif et al. (2023). Prediction of atmospheric carbon monoxide concentration utilizing different machine learning algorithms: A case study in Kuala Lumpur, Malaysia. Environmental Technology & Innovation. https://doi.org/10.1016/j.eti.2023.103387

33. Latif et al. (2023). Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches. Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2023.09.060

34. Latif et al. (2023). Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03882-x

35. Sarmad Dashti Latif & Ali Najah Ahmed (2023). Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03885-8 

36. Almubaidin, M.A.A., Latif, S.D., Balan, K., Ahmed, A.N., El-Shafie, A (2023). Enhancing sediment transport predictions through machine learning-based multi-scenario regression models. Results in Engineering. https://doi.org/10.1016/j.rineng.2023.101585 

37. Dahmani, S., Latif, S.D. Streamflow Data Infilling Using Machine Learning Techniques with Gamma Test. Water Resources Management (2023). https://doi.org/10.1007/s11269-023-03694-8

38. Latif et al., (2024). Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia. Results in Engineering (2024). https://doi.org/10.1016/j.rineng.2024.101872 

39. Jamshidzadeh, Z., Latif, S.D., Ehteram, M. et al. An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers. Environmental Sciences Europe 36, 20 (2024). https://doi.org/10.1186/s12302-024-00850-8 

40. Osman, A.I.A., Latif, S.D., Boo, K.B.W., Ahmed, A.N., Huang, Y.F., El-Shafie, A. Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion.  Groundwater for Sustainable Development (2024). https://doi.org/10.1016/j.gsd.2024.101152 

Conference Paper

1. Abdoulhdi A. Borhana; Mustaffa Kamal D. D.; Sarmad Dashti Latif; Yasir Hassan Ali; Ali Najah Ahmed Almahfoodh; Ahmed El-Shafie (2020). Fault Detection of Bearing using Support Vector Machine-SVM. IEEE. https://doi.org/10.1109/ICIMU49871.2020.9243507

Scientific Book

1. Sarmad Dashti Latif; Ali Najah Ahmed; Ahmed El-Shafie (2021). Research Series in Civil Engineering: Soft Computing Applications in Hydro-Environment. UNITEN PRESS, Universiti Tenaga Nasional (UNITEN), Malaysia. http://dspace.uniten.edu.my/jspui/handle/123456789/18733

2. Sarmad Latif (2023). Implementation of Deep Learning Technique for Streamflow Prediction: Case Studies of Dokan Dam, Kurdistan Region of Iraq and Warragamba Dam, Sydney, Australia. LAMBERT Academic Publishing, Germany. https://www.morebooks.shop/shop-ui/shop/product/9786206844822