| Exploring the potential of neural network in assessing mechanical properties of geopolymer concrete incorporating fly ash and phosphogypsum in pavement applications B Pratap, K Shubham, S Mondal, BH Rao Asian Journal of Civil Engineering 24 (8), 3575-3589, 2023 | 25 | 2023 |
| A systematic review on performance of reclaimed asphalt pavement (RAP) as sustainable material in rigid pavement construction: Current status to future perspective MKD Rout, S Biswas, K Shubham, AK Sinha Journal of Building Engineering 76, 2023 | 22 | 2023 |
| Efficient compressive strength prediction of concrete incorporating industrial wastes using deep neural network K Shubham, MKD Rout, AK Sinha Asian Journal of Civil Engineering 24 (8), 3473-3490, 2023 | 14 | 2023 |
| Soft computing-based investigation of mechanical properties of concrete using ready-mix concrete waste water as partial replacement of mixing portable water B Pratap, P Kumar, K Shubham, N Chaudhary Asian Journal of Civil Engineering, 2023 | 9 | 2023 |
| Surrogate Model-Based Prediction of Settlement in Foundation Over Cavity for Reliability Analysis K Shubham, S Metya, AK Sinha Transportation Infrastructure Geotechnology, 2023 | 8 | 2023 |
| Reliability Analysis of Settlement of a Foundation Resting Over a Circular Void K Shubham, M Subhadeep, G Bhattacharya Lecture Notes in Civil Engineering - Dynamics of Soil and Modelling of …, 2022 | 7 | 2022 |
| Evaluating machine learning algorithm for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique A Gogineni, MKD Rout, K Shubham Asian Journal of Civil Engineering, 2023 | 6 | 2023 |
| An integrated evaluation of waste materials containing recycled asphaltfine aggregates using central composite design MKD Rout, K Shubham, S Biswas, AK Sinha Asian Journal of Civil Engineering, 2023 | 5 | 2023 |
| Enhancing high-strength self-compacting concrete properties through Nano-silica: analysis and prediction of mechanical strengths MF Alam, K Shubham, S Kumar, AKL Srivastava Journal of Building Pathology and Rehabilitation 9, 43, 2024 | 4 | 2024 |
| Prediction of compressive strength of glass fiber‑reinforced self‑compacting concrete interpretable by machine learning algorithms A Gogineni, MKD Rout, K Shubham Asian Journal of Civil Engineering, 2023 | 3 | 2023 |
| Behaviour of strip footing over cavity subjected to inclined and eccentric loads P Kumar, S Metya, K Shubham, D Prashad Arabian Journal of Geosciences 15 (17), 1442, 2022 | 3 | 2022 |
| Seismic response of soil-like material in MSW landfill using equivalent linear approach K Shubham, D Prashad, S Metya Advances in Geo-Science and Geo-Structures: Select Proceedings of GSGS 2020 …, 2022 | 2 | 2022 |
| Covid-19 data analysis for second wave Indian pandemic Seir model by using principal component analysis tool K Shubham Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (9 …, 2021 | 2 | 2021 |
| Optimizing shallow foundation design: A machine learning approach for bearing capacity estimation over cavities K Shubham, S Metya, AK Sinha Geomechanics & Engineering 37 (6), 629-641, 2024 | 1 | 2024 |
| Application of ANN for prediction of settlement of ring foundation DC Swarnkar, AK Singh, K Shubham Signal, Image and Video Processing, 1-18, 2024 | | 2024 |
| One‐Dimensional‐Convolutional Neural Network (1D‐CNN) Based Reliability Analysis of Foundation Over Cavity Incorporating the Effect of Simulated Noise K Shubham, S Metya, AK Sinha, R Gobinath Advances in Civil Engineering 2024 (1), 9981433, 2024 | | 2024 |
| Effect of Vegetation on the Stability of Slope: An Analytical Approach for Chandil Site K Shubham, S Metya Indian Geotechnical Conference 2019, 2020 | | 2020 |
| Futuristic Trends in Construction Materials & Civil Engineering K Shubham, BA Mir https://www.iipseries.org/view-pub-book.php?bookid=14&bookname=futuristic …, 0 | | |
MK Diptikanta RoutNIT, Jamshedpur在 nitjsr.ac.in 的电子邮件经过验证
