Intelligent Deployment Solution for Tabling Adapting Deep Learning
This article presents an intelligent deployment solution for tabling that utilizes deep learning techniques. The solution involves adapting deep learning semantic segmentation algorithms with DeepLab V3+ to extract multi-dimensional image features, enabling the mapping of relationships be...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10005307/ |
| _version_ | 1811155562952392704 |
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| author | You Keshun Liu Huizhong |
| author_facet | You Keshun Liu Huizhong |
| author_sort | You Keshun |
| collection | DOAJ |
| description | This article presents an intelligent deployment solution for tabling that utilizes deep learning techniques. The solution involves adapting deep learning semantic segmentation algorithms with DeepLab V3+ to extract multi-dimensional image features, enabling the mapping of relationships between mineral ore belt characteristics and operating parameters using a multi-output support vector regression model optimized using a sparrow search algorithm (ssa-msvr). The proposed solution integrates image recognition software and data processing method, which significantly improves the efficiency and effectiveness of mineral processing, providing a promising avenue for further research and development in this field. |
| first_indexed | 2024-04-10T04:36:38Z |
| format | Article |
| id | doaj.art-93843b7dbf7b4902a93433b282adc2f0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T04:36:38Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-93843b7dbf7b4902a93433b282adc2f02023-03-10T00:00:35ZengIEEEIEEE Access2169-35362023-01-0111222012220810.1109/ACCESS.2023.323407510005307Intelligent Deployment Solution for Tabling Adapting Deep LearningYou Keshun0https://orcid.org/0000-0001-5603-3707Liu Huizhong1https://orcid.org/0000-0003-1565-0631Department of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou, ChinaDepartment of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou, ChinaThis article presents an intelligent deployment solution for tabling that utilizes deep learning techniques. The solution involves adapting deep learning semantic segmentation algorithms with DeepLab V3+ to extract multi-dimensional image features, enabling the mapping of relationships between mineral ore belt characteristics and operating parameters using a multi-output support vector regression model optimized using a sparrow search algorithm (ssa-msvr). The proposed solution integrates image recognition software and data processing method, which significantly improves the efficiency and effectiveness of mineral processing, providing a promising avenue for further research and development in this field.https://ieeexplore.ieee.org/document/10005307/Mineral processingdeep learning semantic segmentationmulti-dimensional image featuressupport vector regression model |
| spellingShingle | You Keshun Liu Huizhong Intelligent Deployment Solution for Tabling Adapting Deep Learning IEEE Access Mineral processing deep learning semantic segmentation multi-dimensional image features support vector regression model |
| title | Intelligent Deployment Solution for Tabling Adapting Deep Learning |
| title_full | Intelligent Deployment Solution for Tabling Adapting Deep Learning |
| title_fullStr | Intelligent Deployment Solution for Tabling Adapting Deep Learning |
| title_full_unstemmed | Intelligent Deployment Solution for Tabling Adapting Deep Learning |
| title_short | Intelligent Deployment Solution for Tabling Adapting Deep Learning |
| title_sort | intelligent deployment solution for tabling adapting deep learning |
| topic | Mineral processing deep learning semantic segmentation multi-dimensional image features support vector regression model |
| url | https://ieeexplore.ieee.org/document/10005307/ |
| work_keys_str_mv | AT youkeshun intelligentdeploymentsolutionfortablingadaptingdeeplearning AT liuhuizhong intelligentdeploymentsolutionfortablingadaptingdeeplearning |