| A comparison of class imbalance techniques for real-world landslide predictions K Agrawal, Y Baweja, D Dwivedi, R Saha, P Prasad, S Agrawal, S Kapoor, ... 2017 international conference on machine learning and data science (MLDS), 1-8, 2017 | 39 | 2017 |
| Prediction of real-world slope movements via recurrent and non-recurrent neural network algorithms: a case study of the Tangni landslide P Kumar, P Sihag, A Sharma, A Pathania, R Singh, P Chaturvedi, N Mali, ... Indian Geotechnical Journal 51 (4), 788-810, 2021 | 19 | 2021 |
| A low‐cost IoT framework for landslide prediction and risk communication P Chaturvedi, KK Thakur, N Mali, VU Kala, S Kumar, S Yadav, V Dutt Internet of Things A to Z: technologies and applications, 593-610, 2018 | 17 | 2018 |
| Determining the geotechnical slope failure factors via ensemble and individual machine learning techniques: a case study in Mandi, India N Mali, V Dutt, KV Uday Frontiers in Earth Science 9, 701837, 2021 | 16 | 2021 |
| Predictions of weekly slope movements using moving-average and neural network methods: a case study in Chamoli, India P Kumar, Priyanka, A Pathania, S Agarwal, N Mali, R Singh, P Chaturvedi, ... Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume …, 2020 | 11 | 2020 |
| Identifying Geotechnical Characteristics for Landslide Hazard Indication: A Case Study in Mandi, Himachal Pradesh, India UKV Naresh Mali, D P Shukla Arabian Journal of Geosciences 15 (2), 144, 2022 | 10 | 2022 |
| Predictions of weekly soil movements using moving-average and support-vector methods: a case-study in Chamoli, India P Kumar, P Sihag, A Pathania, S Agarwal, N Mali, R Singh, P Chaturvedi, ... International Conference on Inforatmion technology in Geo-Engineering, 393-405, 2019 | 10 | 2019 |
| Training of sensors for early warning system of rainfall-induced landslides N Mali, P Chaturvedi, V Dutt, VU Kala Recent Advances in Geo-Environmental Engineering, Geomechanics and …, 2019 | 7 | 2019 |
| Effect of plant roots on permeability of soil T Semwal, N Mali, SK Masakapalli, KV Uday Geotechnical Characterization and Modelling: Proceedings of IGC 2018, 343-352, 2020 | 6 | 2020 |
| Landslide debris-flow prediction using ensemble and non-ensemble machine-learning methods P Kumar, P Sihag, A Pathania, S Agarwal, N Mali, P Chaturvedi, R Singh, ... International Conference on Time Series and Forecasting, Granda, Spain, 25-27, 2019 | 5 | 2019 |
| Reducing power consumption of weather stations for landslide monitoring A Pathania, P Kumar, J Kesri, Priyanka, S Agarwal, N Mali, R Singh, ... International Conference on Inforatmion technology in Geo-Engineering, 144-158, 2019 | 3 | 2019 |
| Minute-scale prediction of soil movement using machine-learning techniques K Agrawal, S Agrawal, P Chaturvedi, N Mali, VU Kala, V Dutt Indian landslide congress, 2017 | 1 | 2017 |
| A Concise Review of State-of-the-Art on Landslide Monitoring and Warning System in India S Sharma, N Mali, VU Kala Indian Geotechnical Conference, 197-206, 2021 | | 2021 |
| Effect of Drying and Wetting of Shear Strength of Soil N Mali, T Semwal, K Kadian, M Sharma, KV Uday Problematic Soils and Geoenvironmental Concerns: Proceedings of IGC 2018, 27-34, 2021 | | 2021 |
| Predictions of Weekly Soil Movements Using Moving-Average and Support-Vector Methods: A Case-Study in Chamoli, India S Agarwal, N Mali, R Singh, P Chaturvedi, KV Uday, V Dutt Information Technology in Geo-Engineering: Proceedings of the 3rd …, 2019 | | 2019 |
| Reducing Power Consumption of Weather Stations for Landslide Monitoring N Mali, R Singh, P Chaturvedi, KV Uday, V Dutt ICITG2019, Springer Series in Geomechanics and Geoengineering 62, 1-9, 2019 | | 2019 |
| Application of Image analysis to study the deformation characteristics of soil KVU Naresh M. Indian Geotechnical Conference, Kakinada, India, 309-316, 2014 | | 2014 |
