Reference Evapotranspiration Modeling Using New Heuristic Methods. - Rana Muhammad Adnan; Zhihuan Chen; Xiaohui Yuan; Özgür Kisi; Ahmed El-Shafie 001; Alban Kuriqi; Misbah Ikram (Entropy, 2020)

Prediction of hydraulics performance in drain envelopes using Kmeans based multivariate adaptive regression spline. - Rana Muhammad Adnan; Payam Khosravinia; Bakhtiar Karimi; Özgür Kisi (Appl. Soft Comput., 2021)

Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms. - Rana Muhammad Adnan; Reham R. Mostafa; Abu Reza Md. Towfiqul Islam; Özgür Kisi; Alban Kuriqi; Salim Heddam (Comput. Electron. Agric., 2021)

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization. - Rana Muhammad Adnan; Reham R. Mostafa; Özgür Kisi; Zaher Mundher Yaseen; Shamsuddin Shahid; Mohammad Zounemat-Kermani (Knowl. Based Syst., 2021)

Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data. - Rana Muhammad Adnan; Zhongmin Liang; Kulwinder Singh Parmar; Kirti Soni; Özgür Kisi (Neural Comput. Appl., 2021)

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction. - Rana Muhammad Adnan; Ahmed A. Ewees; Kulwinder Singh Parmar; Zaher Mundher Yaseen; Shamsuddin Shahid; Özgür Kisi (Appl. Soft Comput., 2022)

An online portfolio strategy based on trend promote price tracing ensemble learning algorithm. - Hong-Liang Dai; Chu-Xin Liang; Hongming Dai; Cui-Yin Huang; Rana Muhammad Adnan (Knowl. Based Syst., 2022)

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study. - Rana Muhammad Adnan; Barenya Bikash Hazarika; Deepak Gupta 004; Salim Heddam; Özgür Kisi (Neural Comput. Appl., 2023)

Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge-Kutta with Aquila Optimizer. - Rana Muhammad Adnan; Wang Mo; Ahmed A. Ewees; Salim Heddam; Özgür Kisi; Mohammad Zounemat-Kermani (Int. J. Comput. Intell. Syst., 2024)

Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP). - Khaled Merabet; Fabio Di Nunno; Francesco Granata; Sungwon Kim; Rana Muhammad Adnan; Salim Heddam; Özgür Kisi; Mohammad Zounemat-Kermani (Earth Sci. Informatics, 2025)