Explosive utilization efficiency enhancement: An application of machine learning for powder factor prediction using critical rock characteristics

BO Taiwo, A Gebretsadik, HH Abbas, M Khishe… - Heliyon, 2024 - cell.com
Maximizing the use of explosives is crucial for optimizing blasting operations, significantly
influencing productivity and cost-effectiveness in mining activities. This work explores the …

[HTML][HTML] 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… - Geohazard …, 2024 - Elsevier
Effective control of blasting outcomes depends on a thorough understanding of rock geology
and the integration of geological characteristics with blast design parameters. This study …

[HTML][HTML] Machine learning based prediction of flyrock distance in rock blasting: A safe and sustainable mining approach

BO Taiwo, Y Fissha, S Hosseini, M Khishe… - Green and Smart Mining …, 2024 - Elsevier
Flyrock is a significant environmental and safety concern in mining and construction. It arises
from various geological and blast design factors, posing risks to workers, machinery, and …

[HTML][HTML] Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining

Y Fissha, P Ragam, H Ikeda, NK Kumar, T Adachi… - Rock Mechanics …, 2025 - Elsevier
The vibrations generated by rock blasting are a serious and hazardous outcome of these
activities, causing harmful effects on the surrounding environment as well as the nearby …

[HTML][HTML] Deep learning-based estimation of muckpile fragmentation using simulated 3d point cloud data

H Ikeda, T Sato, K Yoshino, H Toriya, H Jang… - Applied Sciences, 2023 - mdpi.com
This research introduces an innovative technique for estimating the particle size distribution
of muckpiles, a determinant significantly affecting the efficiency of mining operations. By …

Harmonizing blasting efficiency: A case study on evaluation and optimization of fragmentation size and ground vibration

M Naresh, N Sri Chandrahas, G Praful Kumar… - Journal of the Institution …, 2024 - Springer
Drilling and blasting techniques persist as the most economically viable approaches for rock
excavation in both surface and underground mining. However, the conventional focus has …

Enhancing downstream operation through run-of-mine crusher selection model: an application of edge detection software and soft computing algorithms

B Adebayo, EO Ajaka, TB Afeni, BO Taiwo… - Arabian Journal of …, 2024 - Springer
During quarry design, most of the crushers selected at this stage are not appropriate for the
muck-pile size ranges produced after rock fragmentation. Therefore, fragmentation …

Practical Guidelines for Utilizing WipFrag Software to Assess Oversize Blast Material Using Both Orthomosaic and Digital Images

BO Taiwo, A Palangio, C Savaliya, J Patel - 2024 - researchsquare.com
Oversize material resulting from blasting presents a notable drawback in the transportation
of run-off-mine material due to increased expenses associated with handling, decreased …

[PDF][PDF] Rock Mechanics Bulletin

Y Fissha, P Ragam, H Ikeda, NK Kumar, T Adachi… - researchgate.net
The vibrations generated by rock blasting are a serious and hazardous outcome of these
activities, causing harmful effects on the surrounding environment as well as the nearby …

[PDF][PDF] Professional Approach for Interpreting Image Analysis: How WipFrag Makes Result Interpretation Easy for Decision-Making

B Taiwo - wipware.com
This article explores the professional approach to interpreting image analysis in the mining
industry, emphasizing how WipFrag simplifies result interpretation to enhance decision …