Development of an expert system for iron ore classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://link.springer.com/article/10.1007/s12517-018-3733-x/fulltext.html
Reference69 articles.
1. Abdullah MZ, Mohamad-Saleh J, Fathinul-Syahir AS, Mohd-Azemi BMN (2006) Discrimination and classification of fresh-cut starfruits (Averrhoa carambola L.) using automated machine vision system. J Food Eng 76:506–523. https://doi.org/10.1016/j.jfoodeng.2005.05.053
2. Agrawal S, Verma NK, Tamrakar P, Sircar P (2011) Content based color image classification using SVM. In: 2011 Eighth International Conference on Information Technology: New Generations. IEEE, pp 1090–1094
3. Al-Thyabat S, Miles NJ (2006) An improved estimation of size distribution from particle profile measurements. Powder Technol 166:152–160. https://doi.org/10.1016/j.powtec.2006.05.008
4. Breiman L, Friedman J, Stone CJ, Olshen RA (1984) Classification and regression trees. CRC press
5. Chankong T, Theera-Umpon N, Auephanwiriyakul S (2009) Cervical cell classification using Fourier transform. In: Lim CT, Goh JCH (eds) 13th International Conference on Biomedical Engineering: ICBME 2008 3--6 December 2008 Singapore. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 476–480
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Stacked Deep Ensemble for Automated Iron Ore Image Characterization;Arabian Journal for Science and Engineering;2024-06-10
2. Design of Hybrid Soft Computing Techniques for Estimation of Suspended Sediment Yield in Krishna River, India;Cybernetics, Cognition and Machine Learning Applications;2022-09-16
3. Optimized Scenario for Estimating Suspended Sediment Yield Using an Artificial Neural Network Coupled with a Genetic Algorithm;Water;2022-09-09
4. The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach;Resources Policy;2022-09
5. Capability and Robustness of Novel Hybridized Artificial Intelligence Technique for Sediment Yield Modeling in Godavari River, India;Water;2022-06-14
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3