Prediction of Mode-I Fracture Toughness of the ISRM-Suggested Semi-Circular Bend Rock Specimen Using ANN and Optimized ANN Models

NO Ogunsola, AI Lawal, G Kim, H Kim… - Rock Mechanics and Rock …, 2024 - Springer
A great understanding of the fracture behavior of rocks is very important for ensuring the
successful and efficient design, implementation, completion, and structural stability of …

[HTML][HTML] Envisioning Human–Machine Relationship Towards Mining of the Future: An Overview

P Kolapo, NO Ogunsola, K Komolafe, DD Omole - Mining, 2025 - mdpi.com
Automation is increasingly gaining attention as the global industry moves toward intelligent,
unmanned approaches to perform hazardous tasks. Although the integration of autonomous …

Blasting-Induced Ground Vibration Modeling in Tunnel Excavation: A Comparative Study of ANN, Hybrid ANNs, and Empirical Models

NO Ogunsola, C Shin, AI Lawal, YK Kim… - Rock Mechanics and Rock …, 2024 - Springer
Blasting is the most widely adopted tunneling method worldwide because it is economical,
inexpensive, and adaptable to all geological terrains compared with mechanical excavation …

Prediction of production rate of surface miner in coal mine: an application of single and ensemble machine learning methods

AI Lawal, OY Ogundipe, M Kim, S Kwon - Earth Science Informatics, 2024 - Springer
Surface miner is an eco-friendly excavation machine which is gradually replacing the
traditional drilling and blasting method of excavation. Hence, accurate determination of the …