| Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles HU Ahmed, AS Mohammed, RH Faraj, AA Abdalla, SMA Qaidi, NH Sor, ... Neural Computing and Applications 35 (17), 12453-12479, 2023 | 57 | 2023 |
| Mathematical modeling techniques to predict the compressive strength of high-strength concrete incorporated metakaolin with multiple mix proportions HU Ahmed, AA Abdalla, AS Mohammed, AA Mohammed Cleaner Materials 5, 100132, 2022 | 47 | 2022 |
| Statistical methods for modeling the compressive strength of geopolymer mortar HU Ahmed, AA Abdalla, AS Mohammed, AA Mohammed, A Mosavi Materials 15 (5), 1868, 2022 | 37 | 2022 |
| Hybrid MARS-, MEP-, and ANN-based prediction for modeling the compressive strength of cement mortar with various sand size and clay mineral metakaolin content A Abdalla, AS Mohammed Archives of Civil and Mechanical Engineering 22 (4), 194, 2022 | 33 | 2022 |
| Microstructure and chemical characterizations with soft computing models to evaluate the influence of calcium oxide and silicon dioxide in the fly ash and cement kiln dust on … A Abdalla, A Salih Resources, Conservation & Recycling Advances 15, 200090, 2022 | 31 | 2022 |
| Theoretical models to evaluate the effect of SiO2 and CaO contents on the long-term compressive strength of cement mortar modified with cement kiln dust (CKD) AA Abdalla, A Salih Mohammed Archives of Civil and Mechanical Engineering 22 (3), 105, 2022 | 29 | 2022 |
| Surrogate models to predict the long-term compressive strength of cement-based mortar modified with fly ash A Abdalla, A Salih Mohammed Archives of Computational Methods in Engineering 29 (6), 4187-4212, 2022 | 25 | 2022 |
| Computing models to predict the compressive strength of engineered cementitious composites (ECC) at various mix proportions K Ghafor, HU Ahmed, RH Faraj, AS Mohammed, R Kurda, WS Qadir, ... Sustainability 14 (19), 12876, 2022 | 23 | 2022 |
| Microstructure, chemical compositions, and soft computing models to evaluate the influence of silicon dioxide and calcium oxide on the compressive strength of cement mortar … AA Abdalla, AS Mohammed, S Rafiq, R Noaman, WS Qadir, K Ghafor, ... Construction and Building Materials 341, 127668, 2022 | 21 | 2022 |
| Implementation of multi-expression programming (MEP), artificial neural network (ANN), and M5P-tree to forecast the compression strength cement-based mortar modified by calcium … A Abdalla, A Salih Innovative Infrastructure Solutions 7 (2), 153, 2022 | 21 | 2022 |
| Prediction of the compressive strength of strain‐hardening cement‐based composites using soft computing models PY Saleh, DKI Jaf, AA Abdalla, HU Ahmed, RH Faraj, W Mahmood, ... Structural Concrete, 2023 | 12 | 2023 |
| Computing models to predict the compressive strength of engineered cementitious composites (ECC) at various mix proportions. Sustainability 14 (19): 12876 K Ghafor, HU Ahmed, RH Faraj, AS Mohammed, R Kurda, WS Qadir, ... | 6 | 2022 |
| Statistical Methods for Modeling the Compressive Strength of Geopolymer Mortar. Materials 2022, 15, 1868 HU Ahmed, AA Abdalla, AS Mohammed, AA Mohammed, A Mosavi s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 2 | 2022 |
| Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar AS Mohammed, AA Abdalla, R Kurda, WS Qadir, W Mahmood, K Ghafor Journal of Materials in Civil Engineering 36 (3), 04023613, 2024 | 1 | 2024 |
| Hybrid nonlinear regression model versus MARS, MEP, and ANN to evaluate the effect of the size and content of waste tire rubber on the compressive strength of concrete DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda, ... Heliyon, 2024 | 1 | 2024 |
| Repairing Materials for Different Post Fire-Damaged Structural Concrete Members: A Critical Review AA Abdalla, FR Karim Construction 2 (2), 56-64, 2022 | 1 | 2022 |
| Computing Models to Predict the Compressive Strength of Engineered Cementitious Composites (ECC) at Various Mix Proportions. Sustainability 2022, 14, 12876 K Ghafor, HU Ahmed, RH Faraj, AS Mohammed, R Kurda, WS Qadir, ... Springer Nature or its licensor (eg a society or other partner) holds …, 2022 | 1 | 2022 |
| Exploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete B Omer, DKI Jaf, SK Malla, PI Abdulrahman, AS Mohammed, R Kurda, ... Archives of Civil and Mechanical Engineering 24 (2), 1-22, 2024 | | 2024 |
| Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches B Omer, DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda Innovative Infrastructure Solutions 9 (3), 61, 2024 | | 2024 |
| The efficiency of hybrid intelligent models to evaluate the effect of the size of sand and clay metakaolin content on various compressive strength ranges of cement mortar AA Abdalla, AS Mohammed Neural Computing and Applications, 1-21, 2024 | | 2024 |
Ahmed Salih MohammedAssistant professor, College of Engineering , University of Sulaimani, Kurdistan, Region, IraqVerified email at univsul.edu.iq
