Ensemble Neural Network 3D-CNN and LSTM in the Problem of Assessing the State of a Technological System for Processing Ore Waste-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Ensemble Neural Network 3D-CNN and LSTM in the Problem of Assessing the State of a Technological System for Processing Ore Waste

Published:2024-05-20 Issue: Volume:1 Page:1001-1006
ISSN:
Container-title:2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
language:
Short-container-title:

Author:

Puchkov Andrey¹,Dli Maxim¹,Bobkov Vladimir²

Affiliation:

1. National Research University «Moscow Power Engineering Institute» (Branch),Department of Information Technologies in Economics and Management,Smolensk,Russia

2. National Research University «Moscow Power Engineering Institute» (Branch),Department of Math,Smolensk,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553372/10553656/10554041.pdf?arnumber=10554041

Reference23 articles.

1. A Review of Rare-Earth Elements Extraction with Emphasis on Non-conventional Sources: Coal and Coal Byproducts, Iron Ore Tailings, Apatite, and Phosphate Byproducts

2. Monitoring the Granulometric Composition on the Basis of Deep Neural Networks

3. Phosphorus — a Circular Journey from the Ground to the Recycling Line

4. The industrial internet of things (IIoT): An analysis framework

5. Development of the architecture of a complex of industrial Internet of Things systems based on intelligent sensors and touchsensors

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP