News

AZoMining
azomining.com > Article.aspx

Machine Learning in Geology: Key Data and Modeling Challenges

48+ min ago  (981+ words) Geological data breaks many of the assumptions built into machine-learning systems. Rock formations differ significantly across meters, not miles, and that kind of variability leaves a wide gap between what an algorithm learns in training and what it actually meets…...

AZoMining
azomining.com > Article.aspx

How Machine Learning Helps Geologists Discover Hidden Ore Deposits

1+ week, 1+ day ago  (1134+ words) Finding ore bodies buried hundreds of meters beneath Earth's surface remains one of geology's most prominent challenges. Artificial intelligence (AI) is changing this by simultaneously processing enormous volumes of geophysical, geochemical, and geological data to identify mineral deposits that conventional…...

AZoMining
azomining.com > News.aspx

Transformer Network Enhances Underground Mining Image Resolution

2+ mon, 3+ week ago  (262+ words) Extensive experiments demonstrate that the BDL network significantly outperforms state-of-the-art super-resolution methods, including SRCNN, VDSR, EDSR, SwinIR, and DAT, on underground coal mine image datasets. In the ×2 upscaling task, the proposed method achieved a PSNR of 32.07 dB and SSIM of…...