Cascade network for detection of coal and gangue in the production context

Automatic Coal and Gangue Segmentation Using U-Net Based Fully Convolutional Networks

(2020) Rong Gao et al.   Energies

Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning

(2019) Yuanyuan Pu et al.   Energies

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Machine learning applications in minerals processing: A review

(2018) J.T. McCoy et al.   MINERALS ENGINEERING

Identification of Coal and Gangue by Feed-forward Neural Network Based on Data Analysis

(2017) Wei Hou   International Journal of Coal Preparation and Utilization

Separating coal and gangue using three-dimensional laser scanning

(2017) Weidong Wang et al.   INTERNATIONAL JOURNAL OF MINERAL PROCESSING

Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks

(2014) Junqi Jin et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Orthogonal Test and Support Vector Machine Applied to Influence Factors of Coal and Gangue Separation

(2013) Zheng Kehong et al.   International Journal of Coal Preparation and Utilization