Tadesse G. Wakjira

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

Tadesse G. Wakjira, Mohamed Ibrahim, Usama Ebead et al. · Engineering Structures · 2022 · 160 citations · Full text

Engineering, Machine Learning, Mechanical Engineering +21

Urban resilience and livability performance of European smart cities: A novel machine learning approach

Adeeb A. Kutty, Tadesse G. Wakjira, Murat Küçükvar et al. · Journal of Cleaner Production · 2022 · 119 citations · Full text

Engineering, Livability, European Smart Cities +10

Hybrid NSE/EB technique for shear strengthening of reinforced concrete beams using FRCM: Experimental study

Tadesse G. Wakjira, Usama Ebead · Construction and Building Materials · 2018 · 86 citations · Full text

Materials Science, Reinforcement Material, Engineering +14

Shear capacity prediction of FRP-RC beams using single and ensenble ExPlainable Machine learning models

Tadesse G. Wakjira, Abathar Al-Hamrani, Usama Ebead et al. · Composite Structures · 2022 · 84 citations

Shear Capacity Prediction, Engineering, Physic Aware Machine Learning +10

A novel framework for developing environmentally sustainable and cost-effective ultra-high-performance concrete (UHPC) using advanced machine learning and multi-objective optimization techniques

Tadesse G. Wakjira, Adeeb A. Kutty, M. Shahria Alam · Construction and Building Materials · 2024 · 79 citations · Full text

Engineering, Machine Learning, Performance-based Building Design +19