相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Coal gangue detection and recognition algorithm based on deformable convolution YOLOv3
De-yong Li et al.
IET IMAGE PROCESSING (2022)
Multi-scale coal and gangue dual-energy X-ray image concave point detection and segmentation algorithm
Lei He et al.
MEASUREMENT (2022)
Fast identification model for coal and gangue based on the improved tiny YOLO v3
Hongguang Pan et al.
JOURNAL OF REAL-TIME IMAGE PROCESSING (2022)
Detection method of obstacles in the dangerous area of electric locomotive driving based on MSE-YOLOv4-Tiny
Wenshan Wang et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2022)
A synchronous detection-segmentation method for oversized gangue on a coal preparation plant based on multi-task learning
Ziqi Lv et al.
MINERALS ENGINEERING (2022)
Real-time power prediction approach for turbine using deep learning techniques
Lei Sun et al.
ENERGY (2021)
How will China's coal industry develop in the future? A quantitative analysis with policy implications
Lu-Tao Zhao et al.
ENERGY (2021)
Application of Deep Learning in Petrographic Coal Images Segmentation
Sebastian Iwaszenko et al.
MINERALS (2021)
Efficient image segmentation based on deep learning for mineral image classification
Yang Liu et al.
ADVANCED POWDER TECHNOLOGY (2021)
Identification Method of Coal and Coal Gangue Based on Dielectric Characteristics
Yongcun Guo et al.
IEEE ACCESS (2021)
Understanding flotation mechanism of nonionic surfactants with different polarity on kaolinite as a gangue mineral: An experimental and simulation study
Bao Li et al.
MINERALS ENGINEERING (2020)
Coal Gangue Detection Based on Multi-Spectral Imaging and Improved YOLO v4
Lai Wenhao et al.
ACTA OPTICA SINICA (2020)
Machine learning applications in minerals processing: A review
J. T. McCoy et al.
MINERALS ENGINEERING (2019)
Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
Yuanyuan Pu et al.
ENERGIES (2019)
Effects of surface finish on the initial oxidation of HVAF-sprayed NiCoCrAlY coatings
Pimin Zhang et al.
SURFACE & COATINGS TECHNOLOGY (2019)
Life cycle energy efficiency evaluation for coal development and utilization
Ning Wang et al.
ENERGY (2019)
Classification of coal and gangue under multiple surface conditions via machine vision and relief-SVM
Dongyang Dou et al.
POWDER TECHNOLOGY (2019)
An Enhanced Rock Mineral Recognition Method Integrating a Deep Learning Model and Clustering Algorithm
Chengzhao Liu et al.
MINERALS (2019)
Has China's coal consumption already peaked? A demand-side analysis based on hybrid prediction models
Ce Wang et al.
ENERGY (2018)
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Significance of particle aggregation in the reverse flotation of kaolinite from bauxite ore
Jing Liu et al.
MINERALS ENGINEERING (2015)
The role of cationic polyacrylamide in the reverse flotation of diasporic bauxite
Guangyi Liu et al.
MINERALS ENGINEERING (2007)