| Assessment of the ground vibration during blasting in mining projects using different computational approaches S Hosseini, J Khatti, BO Taiwo, Y Fissha, KS Grover, H Ikeda, ... Scientific Reports 13 (1), 18582, 2023 | 51 | 2023 |
| LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis B Xi, E Li, Y Fissha, J Zhou, P Segarra Mechanics of Advanced Materials and Structures 31 (23), 5999-6014, 2024 | 37 | 2024 |
| Application of Bayesian neural network (BNN) for the prediction of blast-induced ground vibration Y Fissha, H Ikeda, H Toriya, T Adachi, Y Kawamura Applied sciences 13 (5), 3128, 2023 | 26 | 2023 |
| Development of artificial neural network based mathematical models for predicting small scale quarry powder factor for efficient fragmentation coupled with uniformity index model BO Taiwo, F Yewuhalashet, LB Adamolekun, OO Bidemi, OV Famobuwa, ... Artificial Intelligence Review 56 (12), 14535-14556, 2023 | 17 | 2023 |
| Artificial neural network modeling as an approach to limestone blast production rate prediction: a comparison of PI-BANN and MVR models BO Taiwo, G Angesom, Y Fissha, Y Kide, E Li, K Haile, OA Oni Journal of Mining and Environment 14 (2), 375-388, 2023 | 15 | 2023 |
| Quarry slope stability assessment methods with blast induced effect monitoring in Akoko Edo, Nigeria BO Taiwo, F Yewuhalashet, OB Ogunyemi, VA Babatuyi, EI Okobe, ... Geotechnical and Geological Engineering 41 (4), 2553-2571, 2023 | 14 | 2023 |
| Analytical damage model for predicting coal failure stresses by utilizing acoustic emission M Ali, E Wang, Z Li, X Wang, NM Khan, Z Zang, SS Alarifi, Y Fissha Sustainability 15 (2), 1236, 2023 | 12 | 2023 |
| Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms Y Fissha, J Khatti, H Ikeda, KS Grover, N Owada, H Toriya, T Adachi, ... Scientific Reports 14 (1), 20026, 2024 | 11 | 2024 |
| Assessment of charge initiation techniques effect on blast fragmentation and environmental safety: an application of WipFrag Software BO Taiwo, Y Fissha, T Palangio, A Palangio, H Ikeda, NR Cheepurupalli, ... Mining 3 (3), 532-551, 2023 | 11 | 2023 |
| Fostering Sustainable Mining Practices in Rock Blasting: Assessment of Blast Toe Volume Prediction using Comparative Analysis of Hybrid Ensemble Machine Learning Techniques E Kahraman, S Hosseini, BO Taiwo, Y Fissha, VA Jebutu, AA Akinlabi, ... Journal of Safety and Sustainability, 2024 | 9 | 2024 |
| Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting MO Esangbedo, BO Taiwo, HH Abbas, S Hosseini, M Sazid, Y Fissha Resources Policy 92, 105014, 2024 | 9 | 2024 |
| Experimental data–driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools NS Chandrahas, Y Fissha, BS Choudhary, B Olamide Taiwo, ... International Journal of Mining, Reclamation and Environment, 1-35, 2024 | 9 | 2024 |
| Development of correlations between various engineering rockmass classification systems using railway tunnel data in Garhwal Himalaya, India MA Azad, T Najeh, AK Raina, N Singh, A Ansari, M Ali, Y Fissha, Y Gamil, ... Scientific Reports 14 (1), 10716, 2024 | 7 | 2024 |
| Enhancing rock fragmentation assessment in mine blasting through machine learning algorithms: a practical approach A Gebretsadik, R Kumar, Y Fissha, Y Kide, N Okada, H Ikeda, AK Mishra, ... Discover Applied Sciences 6 (5), 223, 2024 | 7 | 2024 |
| Evaluation and Prediction of Blast-Induced Ground Vibrations: A Gaussian Process Regression (GPR) Approach YK Yewuhalashet Fissha 1, Hajime Ikeda ,Hisatoshi Toriya , Narihiro Owada ... Mining 3 (4), 24, 2023 | 7* | 2023 |
| Indirect evaluation of the influence of rock boulders in blasting to the geohazard: Unearthing geologic insights fused with tree seed based LSTM algorithm BO Taiwo, S Hosseini, Y Fissha, K Kilic, OA Olusola, NS Chandrahas, E Li, ... Geohazard Mechanics 2 (4), 244-257, 2024 | 5 | 2024 |
| Promoting safety of underground machinery operators through participatory ergonomics and fuzzy model analysis to foster sustainable mining practices V Sakinala, PS Paul, Y Fissha Scientific Reports 14 (1), 16319, 2024 | 5 | 2024 |
| Explosive Utilization Efficiency Enhancement: An Application of Machine Learning for Powder Factor Prediction using Critical Rock characteristics BO Taiwo, A Gebretsadik, HH Abbas, M Khishe, Y Fissha, E Kahraman, ... Heliyon, 2024 | 5 | 2024 |
| Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach BO Taiwo, Y Fissha, S Hosseini, M Khishe, E Kahraman, B Adebayo, ... Green and Smart Mining Engineering 1 (3), 346-361, 2024 | 4 | 2024 |
| Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches J Khatti, Y Fissha, KS Grover, H Ikeda, H Toriya, T Adachi, Y Kawamura Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-24, 2024 | 4 | 2024 |
Taiwo Blessing OlamideFederal University of Technology AkureVerified email at futa.edu.ng