XG boost algorithm to simultaneous prediction of rock fragmentation and induced ground vibration using unique blast data NS Chandrahas, BS Choudhary, MV Teja, MS Venkataramayya, ... Applied Sciences 12 (10), 5269, 2022 | 34 | 2022 |
An investigation into the effect of rockmass properties on mean fragmentation S Chandrahas, BS Choudhary, NSR Prasad, V Musunuri, KK Rao Archives of Mining Sciences 66 (4), 2021 | 6 | 2021 |
Critical analysis of process cycle by numerical modelling for faster development of drives in hard-rock underground mine–a case study KK Rao, BS Choudhary, A Ghade Current science 118 (10), 1547-1556, 2020 | 4 | 2020 |
Competitive algorithm to balance and predict blasting outcomes using measured field data sets NS Chandrahas, BS Choudhary, MS Venkataramayya Computational Geosciences 27 (6), 1087-1110, 2023 | 3 | 2023 |
Experimental data–driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools NS Chandrahas, Y Fissha, BS Choudhary, B Olamide Taiwo, ... International Journal of Mining, Reclamation and Environment, 1-35, 2024 | 2 | 2024 |
Effects of spacing-to-burden ratio and joint angle on rock fragmentation: an unmanned aerial vehicle and AI approach in overburden benches D Ramesh, NS Chandrahas, MS Venkatramayya, M Naresh, P Talari, ... Acadlore Trans. Geosci 2 (3), 155-166, 2023 | 2 | 2023 |
Drilling rows vis-a-vis rock fragmentation and muckpile parameters in surface blast BS Choudhary, A Agrawal, NS Chandrahas National Conference on Challenges in Environment Management: Mines and …, 2017 | 2 | 2017 |
Harmonizing Blasting Efficiency: A Case Study on Evaluation and Optimization of Fragmentation Size and Ground Vibration M Naresh, N Sri Chandrahas, G Praful Kumar, T Pradeep Kumar, ... Journal of The Institution of Engineers (India): Series D, 1-14, 2024 | 1 | 2024 |
Prediction of Back Break Using Sensitivity Analysis and Artificial Neural Networks SK Kannavena, T Pradeep, NS Chandrahas, D Prasad Journal of The Institution of Engineers (India): Series D, 1-16, 2024 | 1 | 2024 |
Firing pattern and spacing burden ratio selection in jointed overburden benches using unmanned aerial vehicle and artificial intelligence based tool NS Chandrahas, BS Choudhary, MS Venkataramayya Second International Conference on Emerging Trends in Engineering (ICETE …, 2023 | 1 | 2023 |
Mine induced Airblast prediction: An application of Chaos game optimization based soft computing approaches S Hosseini, BO Taiwo, Y Fissha, V Sakinala, NS Chandrahas, ... | 1 | 2023 |
Indirect Evaluation of the Influence of Rock Boulders in Blasting to the Geohazard: Unearthing Geologic Insights Fused with Tree Seed based LSTM Algorithm BO Taiwo, S Hosseini, Y Fissha, K Kilic, OA Olusola, NS Chandrahas, E Li, ... Geohazard Mechanics, 2024 | | 2024 |
An inventive approach for simultaneous prediction of mean fragmentation size and peak particle velocity using futuristic datasets through improved techniques of genetic XG … NS Chandrahas, BS Choudhary, MS Venkataramayya, F Yewuhalashet | | 2023 |
A Comparative Study of Factor of Safety (FOS) of Coal Pillar in Underground Mines using Mathematical Approach and Numerical Modelling AVNS Chandrahas Indian Journal of Natural Sciences 14 (79), 60121, 2023 | | 2023 |
Identification of Most Influencing Blast Design Parameters on Mean Fragmentation Size and Muckpile by Principal Component Analysis MSV N.Sri Chandrahas, B.S. Choudhary International Journal of Innovative Technology and Exploring Engineering …, 2018 | | 2018 |
Evaluation of rock fragmentation and ground vibration with geoblast design parameters in surface mines using modern face mapping tools and artificial intelligence techniques NS Chandrahas Dhanbad, 0 | | |