Sarmad Dashti Latif

All papers authored by Sarmad Dashti Latif

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2024 Miran Hikmat Mohammed

, Sarmad Dashti Latif

Forecasting daily rainfall in a humid subtropical area: an innovative machine learning approach

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Sarmad Dashti Latif

, Dyar Othman Mohammed, Alhassan Jaafar

Developing an innovative machine learning model for rainfall prediction in a semi-arid region

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2023 Saad Dahmani

, Sarmad Dashti Latif

Streamflow Data Infilling Using Machine Learning Techniques with Gamma Test

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Sarmad Dashti Latif

, Mustafa Almalayih, Ayman Yafouz, Ali Najah Ahmed, Nur’atiah Zaini, Dani Irwan, Nouar AlDahoul, Mohsen Sherif, Ahmed El-Shafie

Prediction of atmospheric carbon monoxide concentration utilizing different machine learning algorithms: A case study in Kuala Lumpur, Malaysia

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Sarmad Dashti Latif

, Nur Alyaa Binti Hazrin, Chai Hoon Koo, Jing Lin Ng, Barkha Chaplot

, Yuk Feng Huang, Ahmed El-Shafie, Ali Najah Ahmed

Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

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Sarmad Dashti Latif

, Nur Alyaa Binti Hazrin, Mohammad K. Younes, Ali Najah Ahmed, Ahmed Elshafie

Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia

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Sarmad Dashti Latif

, Ali Najah Ahmed

Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia

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Sarmad Dashti Latif

Evaluating deep learning and machine learning algorithms for forecasting daily pan evaporation during COVID-19 pandemic

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Ibrahim Mehdaoui, Samir Boudibi, Sarmad Dashti Latif

, Bachir Sakaa, Hicham Chaffai, Azzedine Hani

Prediction of nitrate concentrations using multiple linear regression and radial basis function neural network in the Cheliff River basin, Algeria

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Amin Gharehbaghi, Redvan Ghasemlounia

, Sarmad Dashti Latif

, Amir Hamzeh Haghiabi, Abbas Parsaie

Application of data-driven models to predict the dimensions of flow separation zone

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Sarmad Dashti Latif

, Ali Najah Ahmed

Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

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Sarmad Dashti Latif

, Ali Najah Ahmed

A review of deep learning and machine learning techniques for hydrological inflow forecasting

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Sarmad Dashti Latif

, K. L. Chong, Ali Najah Ahmed, Y. F. Huang, Mohsen Sherif, Ahmed El-Shafie

Sediment load prediction in Johor river: deep learning versus machine learning models

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2022 Ako Rashed Hama, Zeren Ghafour, Rafea Al Suhili, Sarmad Dashti Latif

Optimization model for cost estimation of decentralized wastewater treatment units

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Yahia Mutalib Tofiq, Sarmad Dashti Latif

, Ali Najah Ahmed, Pavitra Kumar

, Ahmed El-Shafie

Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques

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Ommolbanin Bazrafshan, Mohammad Ehteram, Sarmad Dashti Latif

, Yuk Feng Huang, Fang Yenn Teo, Ali Najah Ahmed, Ahmed El-Shafie

Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

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Mohammad Ehteram, Ali Najah Ahmed

, Ming Fai Chow, Sarmad Dashti Latif

, Kwok-Wing Chau, Kai Lun Chong, Ahmed El-Shafie

Optimal operation of hydropower reservoirs under climate change

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Zine-Eddine Khomri, Mohamed Naçer Chabaca, Samir Boudibi, Sarmad Dashti Latif

Assessment of groundwater vulnerability using remote sensing, susceptibility index, and WetSpass model in an arid region (Biskra, SE Algeria)

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Mohammad Rashki Ghaleh Nou, Ali Foroudi, Sarmad Dashti Latif

, Abbas Parsaie

Prognostication of scour around twin and three piers using efficient outlier robust extreme learning machine

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Balahaha Fadi Ziyad Sami, Sarmad Dashti Latif

, Ali Najah Ahmed, Ming Fai Chow, Muhammad Ary Murti, Asep Suhendi, Balahaha Hadi Ziyad Sami, Jee Khai Wong, Ahmed H. Birima, Ahmed El-Shafie

Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan

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All papers authored by Sarmad Dashti Latif