| Application of carbonate precipitating bacteria for improving properties and repairing cracks of shotcrete H Kalhori, R Bagherpour Construction and Building Materials 148, 249-260, 2017 | 157 | 2017 |
| A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting E Ghasemi, H Kalhori, R Bagherpour Engineering with Computers 32, 607-614, 2016 | 97 | 2016 |
| Model tree approach for predicting uniaxial compressive strength and Young’s modulus of carbonate rocks E Ghasemi, H Kalhori, R Bagherpour, S Yagiz Bulletin of Engineering Geology and the Environment, 1-13, 2016 | 78 | 2016 |
| Application of bacterial nanocellulose fibers as reinforcement in cement composites MA Akhlaghi, R Bagherpour, H Kalhori Construction and Building Materials 241, 118061, 2020 | 63 | 2020 |
| Forecasting ground vibration due to rock blasting: a hybrid intelligent approach using support vector regression and fuzzy C-means clustering H Sheykhi, R Bagherpour, E Ghasemi, H Kalhori Engineering with Computers 34, 357-365, 2018 | 45 | 2018 |
| Stability assessment of hard rock pillars using two intelligent classification techniques: A comparative study E Ghasemi, H Kalhori, R Bagherpour Tunnelling and Underground Space Technology 68, 32-37, 2017 | 44 | 2017 |
| Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree SN Almasi, R Bagherpour, R Mikaeil, Y Ozcelik, H Kalhori Geotechnical and Geological Engineering, 1-16, 2017 | 43 | 2017 |
| Experimental study on the influence of the different percentage of nanoparticles on strength and freeze–thaw durability of shotcrete H Kalhori, B Bagherzadeh, R Bagherpour, MA Akhlaghi Construction and Building Materials 256, 119470, 2020 | 32 | 2020 |
| Application of bacteria for coal dust stabilization M Farashahi, R Bagherpour, H Kalhori, E Ghasemi Environmental earth sciences 78, 1-9, 2019 | 12 | 2019 |
| Prediction of shotcrete compressive strength using Intelligent Methods; Neural Network and Support Vector Regression H Kalhori, R Bagherpour Cement-Wapno-Beton= Cement Lime Concrete 24 (2), 126-136, 2019 | 5 | 2019 |
| Monitoring of drill bit wear using sound and vibration signals analysis recorded during rock drilling operations H Kalhori, R Bagherpour, H Tudeshki Modeling Earth Systems and Environment, 1-49, 2024 | 1 | 2024 |
| Wear Prediction of Rock Drill Bits Based on Geomechanical Properties of Rocks H Kalhori, R Bagherpour, H Tudeshki Arabian Journal for Science and Engineering, 1-14, 2023 | 1 | 2023 |
| Application of soft computing methodologies to predict the 28-day compressive strength of shotcrete: a comparative study of individual and hybrid models M Torkan, H Kalhori, MH Jalalian Rudarsko-geološko-naftni zbornik 36 (5), 2021 | 1 | 2021 |
| Laboratory tests on the strengthening of wet-mix shotcrete lining with the use of nanomaterials H Kalhori, R Bagherpour, MA Akhlaghi, SM Mirdamadi, MN Sarvi Rudarsko-geološko-naftni zbornik 36 (1), 2021 | 1 | 2021 |
| PRIMJENA METODOLOGIJA MEKOGA RAČUNARSTVA U PREDVIĐANJU 28-DNEVNE TLAČNE ČVRSTOĆE MLAZNOGA BETONA: KOMPARATIVNA USPOREDBA INDIVIDUALNOGA I HIBRIDNOGA MODELA M Torkan, H Kalhori, MH Jalalian Rudarsko-geološko-naftni zbornik 36 (5), 33-48, 2021 | | 2021 |
| LABORATORIJSKI TEST ČVRSTOĆE MLAZNOGA BETONA DOBIVENOGA MOKRIM POSTUPKOM UPORABOM NANOMATERIJALA H Kalhori, R Bagherpour, MA Akhlaghi, SM Mirdamadi, MN Sarvi Rudarsko-geološko-naftni zbornik 36 (1), 49-59, 2021 | | 2021 |
| Prognozowanie wytrzymałości na ściskanie betonu natryskowego przy zastosowaniu inteligentnych metod obliczeniowych: sztucznej sieci neuronowej i regresji wektorów wspierających … H Kalhori, R Bagherpour Cement Wapno Beton 22 (84, nr 2), 126--136, 2019 | | 2019 |
Raheb BagherpourProfessor of Mining Engineering, Isfahan University of TechnologyVerified email at iut.ac.ir
