Samuel Frimpong
Orcid: 0000-0002-8300-6824
According to our database1,
Samuel Frimpong
authored at least 15 papers
between 1995 and 2025.
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Bibliography
2025
Empirical Study of Far-Field Radio Frequency Wireless Power Transfer Testbed for Underground Mines Based on 1.8 GHz.
IEEE Access, 2025
OGLe-Mine: Obstacle-infused Goal-conditioned Learning for Post-disaster Navigation in Underground Mine.
Proceedings of the 37th International Conference on Scalable Scientific Data Management, 2025
Predicting Battery Levels of Sensor Nodes Using Reinforcement Learning in Harsh Underground Mining Environments.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
2024
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks.
CoRR, 2024
MinerRouter : Effective Message Routing using Contact-graphs and Location Prediction in Underground Mine.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Demo-Abstract: A DTN System for Tracking Miners using GAE-LSTM and Contact Graph Routing in an Underground Mine.
Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Access, 2023
A DTN-based Spatio-temporal Routing using Location Prediction Model in Underground Mines.
Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023
2022
MinerFinder: a GAE-LSTM method for predicting location of miners in underground mines.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
2021
DeepHaul: a deep learning and reinforcement learning-based smart automation framework for dump trucks.
Prog. Artif. Intell., 2021
DeepImpact: a deep learning model for whole body vibration control using impact force monitoring.
Neural Comput. Appl., 2021
2020
Kinematic Analysis of an Under-actuated, Closed-loop Front-end Assembly of a Dragline Manipulator.
Int. J. Autom. Comput., 2020
Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector.
Artif. Intell. Rev., 2020
2002
Simul., 2002
1995