Performance evaluation of a deep learning based wet coal image classification

被引：0
|
作者：
Liu, Yang [2 ]
Zhang, Zelin [1 ,2 ]
Liu, Xiang [1 ]
Wang, Lei [1 ]
Xia, Xuhui [1 ]
机构：
[1] Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science and Technology, Wuhan,430081, China
[2] Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan,430081, China
来源：
Minerals Engineering | 2021年 / 171卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Deep learning-based image classification for online multi-coal and multi-class sorting
    Liu, Yang
    Zhang, Zelin
    Liu, Xiang
    Wang, Lei
    Xia, Xuhui
    [J]. COMPUTERS & GEOSCIENCES, 2021, 157
  • [22] Performance Evaluation of Deep Learning Algorithms in Biomedical Document Classification
    Behera, Bichitrananda
    Kumaravelan, G.
    Kumar, Prem B.
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC 2019), 2019, : 220 - 224
  • [23] Coal and gangue classification in actual environment of mines based on deep learning
    Luan, Hengxuan
    Xu, Hao
    Tang, Wei
    Tian, Ying
    Zhang, Qiang
    [J]. MEASUREMENT, 2023, 211
  • [24] Classification of wheat varieties with image-based deep learning
    Ceyhan, Merve
    Kartal, Yusuf
    Ozkan, Kemal
    Seke, Erol
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (04) : 9597 - 9619
  • [25] Breast cancer pathological image classification based on deep learning
    Hou, Yubao
    [J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2020, 28 (04) : 727 - 738
  • [26] Research on hyperspectral image classification method based on deep learning
    Zhang, Bin
    Liu, Liang
    Li, Xiao-Jie
    Zhou, Wei
    [J]. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2023, 42 (06) : 825 - 833
  • [27] Digital rock image reconstruction based on deep learning and its reconstruction performance evaluation
    Wang, Fuyong
    Zhao, Jiuyu
    [J]. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2022, 53 (11): : 4412 - 4424
  • [28] Performance of a deep learning algorithm for the evaluation of CADRADS classification with CCTA
    Muscogiuri, Giuseppe
    Chiesa, Mattia
    Trotta, Michela
    Gatti, Marco
    Palmisano, Vitanio
    Dellaversana, Serena
    Baessato, Francesca
    Cavaliere, Annachiara
    Cicala, Gloria
    Loffreno, Antonella
    Rizzon, Giulia
    Guglielmo, Marco
    Baggiano, Andrea
    Fusini, Laura
    Andreini, Daniele
    Pepi, Mauro
    Guaricci, Andrea Igoren
    Colombo, Gualtiero
    Pontone, Gianluca
    [J]. EUROPEAN HEART JOURNAL SUPPLEMENTS, 2019, 21 (0J) : J68 - J68
  • [29] Bag of Tricks for Improving Deep Learning Performance on Multimodal Image Classification
    Adeshina, Steve A.
    Adedigba, Adeyinka P.
    [J]. BIOENGINEERING-BASEL, 2022, 9 (07):
  • [30] Deep Learning Based Image Classification for Remote Medical Diagnosis
    Shihadeh, Juliana
    Ansari, Anaam
    Ogunfunmi, Tokunbo
    [J]. 2018 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), 2018,
12345