Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size

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

(2020) Rong Gao et al.   Energies

Deep Quadruplet Network for Hyperspectral Image Classification with a Small Number of Samples

(2020) Chengye Zhang et al.   Remote Sensing

Deep learning-based method for SEM image segmentation in mineral characterization, an example from Duvernay Shale samples in Western Canada Sedimentary Basin

(2020) Zhuoheng Chen et al.   COMPUTERS & GEOSCIENCES

Convolutional neural network as a novel classification approach for laser-induced breakdown spectroscopy applications in lithological recognition

(2020) Junxi Chen et al.   SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Multi-information online detection of coal quality based on machine vision

(2020) Zelin Zhang et al.   POWDER TECHNOLOGY

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

(2019) Yuanyuan Pu et al.   Energies

Deep learning discrimination of quartz and resin in optical microscopy images of minerals

(2019) Julio César Álvarez Iglesias et al.   MINERALS ENGINEERING

Image-based deep learning automated sorting of date fruit

(2019) Amin Nasiri et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Deep convolutions for in-depth automated rock typing

(2019) E.E. Baraboshkin et al.   COMPUTERS & GEOSCIENCES

Brain tumor classification using deep CNN features via transfer learning

(2019) S. Deepak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Measuring rock surface strength based on spectrograms with deep convolutional networks

(2019) Shuai Han et al.   COMPUTERS & GEOSCIENCES

X-ray-transmission based ore sorting at the San Rafael tin mine

(2019) Christopher Robben et al.   MINERALS ENGINEERING

Applying Receiver-Operating-Characteristic (ROC) to bulk ore sorting using XRF

(2019) Genzhuang Li et al.   MINERALS ENGINEERING

Dynamic model identification of unmanned surface vehicles using deep learning network

(2018) Joohyun Woo et al.   APPLIED OCEAN RESEARCH

Coal analysis based on visible-infrared spectroscopy and a deep neural network

(2018) Ba Tuan Le et al.   INFRARED PHYSICS & TECHNOLOGY

Froth image analysis by use of transfer learning and convolutional neural networks

(2018) Yihao Fu et al.   MINERALS ENGINEERING

Automatic characterisation of chars from the combustion of pulverised coals using machine vision

(2018) Deisy Chaves et al.   POWDER TECHNOLOGY

Development of an expert system for iron ore classification

(2018) Ashok Kumar Patel et al.   Arabian Journal of Geosciences

Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation

(2018) Xiaoli Wang et al.   MINERALS ENGINEERING

Mapping mineral prospectivity through big data analytics and a deep learning algorithm

(2018) Yihui Xiong et al.   ORE GEOLOGY REVIEWS

Machine vision based monitoring and analysis of a coal column flotation circuit

(2018) M. Massinaei et al.   POWDER TECHNOLOGY

Lithological facies classification using deep convolutional neural network

(2018) Yadigar Imamverdiyev et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Classification of rock lithology by laser range 3D and color images

(2017) Francisco J. Galdames et al.   INTERNATIONAL JOURNAL OF MINERAL PROCESSING

CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding

(2017) François Lanusse et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Developing a computer vision method based on AHP and feature ranking for ores type detection

(2016) Morteza Ebrahimi et al.   APPLIED SOFT COMPUTING

Image-Based Monitoring of Jellyfish Using Deep Learning Architecture

(2016) Hanguen Kim et al.   IEEE SENSORS JOURNAL

Predicting bubble size and bubble rate data in water and in froth flotation-like slurry from computational fluid dynamics (CFD) by applying deep neural networks (DNN)

(2016) Gonzalo Montes-Atenas et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers

(2016) Amir Mollajan et al.   Journal of Natural Gas Science and Engineering

Deep learning

(2015) Yann LeCun et al.   NATURE

An automated mineral classifier using Raman spectra

(2013) Sascha T. Ishikawa et al.   COMPUTERS & GEOSCIENCES

Vision-based rock-type classification of limestone using multi-class support vector machine

(2012) Snehamoy Chatterjee   APPLIED INTELLIGENCE

Application of artificial neural networks to predict pyrite oxidation in a coal washing refuse pile

(2012) Mohammadhossein Sadeghiamirshahidi et al.   FUEL

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING