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1. A cyber-physical system-based unmanned ground vehicle for safety inspection and rescue support in an underground mine :
1. A cyber-physical system-based unmanned ground vehicle for safety inspection and rescue support in an underground mine :
L Behera, S Agarwal, T Sandhan, P Sharma, A Kumar
International Journal of Intelligent Unmanned Systems, 2025
2. Granite porosity prediction under varied thermal conditions using machine learning models:
2. Granite porosity prediction under varied thermal conditions using machine learning models:
R Dwivedi, B Prasad, PK Gautam, P Garg, S Agarwal
Earth Science Informatics, 2025.
3. Advancing Sustainability in Surface Coal Mines Through Real-Time Air Quality Monitoring: Low-Cost IoT Solutions and the Role of Meteorological Factors in PM and GHG Emissions:
3. Advancing Sustainability in Surface Coal Mines Through Real-Time Air Quality Monitoring: Low-Cost IoT Solutions and the Role of Meteorological Factors in PM and GHG Emissions:
V Suresh, S Agarwal, YP Chugh, P Jha, R Wang
Sustainability, 2025
4. Evolution of the damage precursor based on the felicity effect in shale :
4. Evolution of the damage precursor based on the felicity effect in shale :
PK Gautam, R Dwivedi, P Garg, D Majumder, S Agarwal
International Journal of Damage Mechanics, 2025.
5. A multi-criteria decision framework to evaluate sustainable alternatives for repurposing of abandoned or closed surface coal mines:
5. A multi-criteria decision framework to evaluate sustainable alternatives for repurposing of abandoned or closed surface coal mines:
A Singh, S Agarwal, A Prabhat
Frontiers in Earth Science, 2024.
6. Machine Learning Based Prediction of Spontaneous Combustion Susceptibility of Coal using its Intrinsic Properties: A Safe Smart and Sustainable Mining of Coal Approach:
6. Machine Learning Based Prediction of Spontaneous Combustion Susceptibility of Coal using its Intrinsic Properties: A Safe Smart and Sustainable Mining of Coal Approach:
S Agarwal, A Singh, P Sharma
Asian Mining Congress, 2023.
7. Natural Language Processing Based Method for Analysis of DGMS Accidents and Fatalities Reports of Indian Coal and Non-Coal Mines:
7. Natural Language Processing Based Method for Analysis of DGMS Accidents and Fatalities Reports of Indian Coal and Non-Coal Mines:
Shivansh Gupta Aman Agnihotri, Siddhartha Agarwal, Himanshu Shekhar
The Indian Mining & Engineering Journal 2022.
8. Automated Analysis through Natural Language Processing of DGMS Fatality Reports on Indian Non-Coal Mines:
8. Automated Analysis through Natural Language Processing of DGMS Fatality Reports on Indian Non-Coal Mines:
H Shekhar, S Agarwal
5th International Conference on Information 2021.
9. A Digitalization Model Structure for Sustainable and Enhanced Profitability in Industry 4.0 :
9. A Digitalization Model Structure for Sustainable and Enhanced Profitability in Industry 4.0 :
YP Chugh, S Agarwal
International Conference on Simulation & Automation 2021
10. Predicting response of risk-seeking systems during project negotiations in a system of systems:
10. Predicting response of risk-seeking systems during project negotiations in a system of systems:
A Gosavi, S Agarwal, CH Dagli
IEEE Systems Journal, 2015
11. Computational intelligence based complex adaptive system-of-system architecture evolution strategy :
11. Computational intelligence based complex adaptive system-of-system architecture evolution strategy :
S Agarwal, CH Dagli, LE Pape
Systems Design & Management: Proceedings of the …, 2015
12. OPM & color petri nets based executable system of systems architecting: A building block in FILA-SoS :
12. OPM & color petri nets based executable system of systems architecting: A building block in FILA-SoS :
S Agarwal, CH Dagli, LE Pape
2015 Annual IEEE Systems Conference (SysCon) …, 2015
13. Flexible and intelligent learning architectures for sos (fila-sos) :
13. Flexible and intelligent learning architectures for sos (fila-sos) :
CH Dagli, DL Enke, N Ergin, D Konur, R Qin, A Gosavi, S Agarwale
2015
14. Flexible and intelligent learning architectures for SoS (FILA-SoS), Volume 1–Integrated Model Structure :
14. Flexible and intelligent learning architectures for SoS (FILA-SoS), Volume 1–Integrated Model Structure :
CH Dagli, D Enke, N Ergin, D Konur, R Qin, A Gosavi, S Agarwal…
Systems Engineering Research Center (SERC), Tech …, 2015
15. Executable Architectures Using Cuckoo Search Optimization Coupled with OPM and CPN-A Module: A New Meta-Architecture Model for FILA SoS :
15. Executable Architectures Using Cuckoo Search Optimization Coupled with OPM and CPN-A Module: A New Meta-Architecture Model for FILA SoS :
S Agarwal, R Wang, CH Dagli
Systems Design & Management: Proceedings of the …, 2015
16. Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems :
16. Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems :
S Agarwal, LE Pape, CH Dagli, NK Ergin, D Enke
Procedia Computer Science, 2015
17. Selecting attributes, rules, and membership functions for fuzzy sos architecture evaluation :
17. Selecting attributes, rules, and membership functions for fuzzy sos architecture evaluation :
L Pape, S Agarwal, C Dagli
Procedia Computer Science, 2015
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