Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system and multiple linear regression F Khademi, SM Jamal, N Deshpande, S Londhe International Journal of Sustainable Built Environment 5 (2), 355-369, 2016 | 303 | 2016 |
Modeling compressive strength of recycled aggregate concrete by Artificial Neural Network, Model Tree and Non-linear Regression N Deshpande, S Londhe, S Kulkarni International Journal of Sustainable Built Environment 3 (2), 187-198, 2014 | 221 | 2014 |
Artificial neural networks for construction management: a review PS Kulkarni, SN Londhe, M Deo Journal of Soft Computing in Civil Engineering 1 (2), 70-88, 2017 | 83 | 2017 |
Effectiveness of using coarse recycled concrete aggregate in concrete N Deshpande, SS Kulkarni, N Patil Int. J. Earth Sci. Eng 4 (6), 913-919, 2011 | 47 | 2011 |
Modelling compressive strength of recycled aggregate concrete using neural networks and regression D Neela, SS Kulkarni, L Shreenivas ISSR Journals (Concrete Research Letters), 2013 | 39 | 2013 |
Predicting carbonation coefficient using Artificial neural networks and genetic programming JB S.N.Londhe, P.S.Kulkarnia, P.R.Dixit, A.Silva, R.Neves Journal of Building Engineering 39 (102258), 2021 | 28 | 2021 |
Experimental investigation on strength characteristics of concrete using tyre rubber as aggregates in concrete N Deshpande, SS Kulkarni, T Pawar, V Gunde Int. J. Appl. Eng. Res. Dev 4 (2), 97-108, 2014 | 28 | 2014 |
Strength characteristics of concrete with recycled aggregates and artificial sand NK Deshpande, SS Kulkarni, H Pachpande IJERA, 2012 | 23 | 2012 |
A comparative study of concrete strength prediction using artificial neural network, multigene programming and model tree PD Preeti Kulkarni, Shreenivas Londhe CHALLENGE JOURNAL OF STRUCTURAL MECHANICS 5 (2), 42-61, 2019 | 11* | 2019 |
Tree based approaches for predicting concrete carbonation coefficient S Londhe, P Kulkarni, P Dixit, A Silva, R Neves, J de Brito Applied Sciences 12 (8), 3874, 2022 | 5 | 2022 |
Concrete strength prediction using artificial neural network and genetic programming SNL Preeti Kulkarni Concrete Research Letters 9 (3), https://doi.org/10.20528/cjcrl.2018.03.0, 2018 | 5* | 2018 |
Critical Analysis of Recycled Aggregate and Concrete with Recycled Aggregate SS Deshpande, N., Kulkarni Applied Mechanics and Materials 99, 1274-1280, 2012 | 4* | 2012 |
Critical Analysis of Recycled aggregate and Concrete with Recycled aggregate N Deshpande, SS Kulkarni Applied Mechanics and Materials 99, 1274-1280, 2011 | 4 | 2011 |
Prediction of water quality parameters using support vector regression P Sahu, SN Londhe, PS Kulkarni Innovative Infrastructure Solutions 8 (9), 229, 2023 | 2 | 2023 |
Experimental Investigation on properties of concrete made using glass cullet as a partial replacement to fine aggregates MP Preeti Kulkarni, Raj Shah International Journal of modern trends in engineering and research 2 (7 …, 2015 | 2* | 2015 |
Tyre Rubber as Aggregate in Concrete: A Possible Outlet for Used Tyres N Deshpande, N Desai, P Shah, P Kale, Y Bhandalkar Proceedings of International Conference on Advances in Architecture and …, 2012 | 2 | 2012 |
Soft Computing Techniques for Predicting Chemical Oxygen Demand in River Water P Sahu, SN Londhe, PS Kulkarni Journal of Soft Computing in Civil Engineering 7 (4), 110-131, 2023 | 1 | 2023 |
Modelling dissolved oxygen and biochemical oxygen demand using data-driven techniques P Sahu, SN Londhe, PS Kulkarni Environmental Engineering Research 28 (3), 210541, 2022 | 1 | 2022 |
Prediction of Concrete Compressive Strength Using Fuzzy Logic and Model Tree V Nagarkar, P Kulkarni, S Londhe Advances in Structural Engineering: Select Proceedings of FACE 2019, 231-240, 2020 | 1 | 2020 |
Paradox in Genetic Programming Modeling with Reference to Predicting Strength of Concrete P Kulkarni, S Londhe, F Khademi, SM Jamal Second International Conference on Sustainable Design, Engineering and …, 2017 | 1 | 2017 |