Lightweight coal and gangue detection algorithm based on improved Yolov7-tiny
IF 2
4区 工程技术
Q4 ENERGY & FUELS
International Journal of Coal Preparation and Utilization
Pub Date : 2024-01-04
DOI:10.1080/19392699.2023.2301304
引用次数: 0
Abstract
This paper proposes a lightweight coal and gangue detection algorithm based on Yolov7-tiny for the current target detection algorithms, which have problems such as large model computation, low dete...基于改进型 Yolov7-tiny 的轻量级煤炭和矸石检测算法
针对当前目标检测算法中存在的模型计算量大、检测精度低等问题，本文提出了一种基于Yolov7-tiny的轻量级煤与矸石检测算法。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
23.80%
发文量
106
审稿时长
6 months
期刊介绍：
International Journal of Coal Preparation and Utilization publishes original research papers, short communications, review articles, book reviews, and symposium announcements covering all aspects of coal preparation. The journal is significant reading for all individuals involved with coal preparation, including those in operations, engineering, management, education, and scientific research.
Topics include:
coal properties and coal petrography;
coal quality and characterization;
surface chemistry of coal and minerals;
crushing, grinding and liberation;
coal screening and classification;
dense medium and density separations;
froth flotation and oil agglomeration;
process control and optimization;
flocculation and thickening;
dewatering and thermal drying;
briquetting and pelletizing;
coal handling and storage;
coal utilization and blending;
waste disposal and pollution;
utility waste product utilization;
and carbon based material.
Additional subjects covered by the journal include properties of coal/water and coal/oil slurries as well as the processing of oil shales and tarsands by physical and physiochemical methods.
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