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检索条件"主题词=Deep learning algorithm"
313 条 记 录,以下是21-30 订阅
排序:
deepGTT: A general trajectory tracking deep learning algorithm based on dynamic law learning
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IET RADAR SONAR AND NAVIGATION 2021年 第9期15卷 1125-1150页
作者: Yu, Wanting Yu, Hongyi Du, Jianping Zhang, Mengli Liu, Jianfeng PLA Strateg Support Force Informat Engn Univ Zhengzhou 450001 Henan Peoples R China State Key Lab Math Engn & Adv Comp Zhengzhou Henan Peoples R China
deep learning technology provides novel solutions for increasingly complex target tracking requirements. For traditional target tracking models, the movement of the target need to be simulated by a predefined mathemat... 详细信息
来源: 评论
Numerical simulation study of gas explosion in confined space based on deep learning algorithm
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年 第3期37卷 3239-3246页
作者: Li Qizhong Wang Zhongqi Wang Ye Betjing Inst Technol Beijing 100081 Peoples R China North China Inst Sci & Technol East Beijing Peoples R China
In order to determine the explosion value in the confined space, this time the simulation model of the deep learning algorithm is used to study it. The research status of deep learning algorithm is first expounded, an... 详细信息
来源: 评论
Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm
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JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY 2019年 第4期145卷 829-837页
作者: Jeyaraj, Pandia Rajan Nadar, Edward Rajan Samuel Mepco Schlenk Engn Coll Autonomous Dept Elect & Elect Engn Sivakasi Tamil Nadu India
PurposeOral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and classification are made possible. Medical imaging technique, compu... 详细信息
来源: 评论
Prediction of corneal back surface power - deep learning algorithm versus multivariate regression
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OPHTHALMIC AND PHYSIOLOGICAL OPTICS 2022年 第1期42卷 185-194页
作者: Langenbucher, Achim Szentmary, Nora Cayless, Alan Weisensee, Johannes Wendelstein, Jascha Hoffmann, Peter Saarland Univ Dept Expt Ophthalmol Homburg Saar Germany Saarland Univ Dr Rolf M Schwiete Ctr Limbal Stem Cell & Aniridi Homburg Saar Germany Semmelweis Univ Dept Ophthalmol Budapest Hungary Open Univ Sch Phys Sci Milton Keynes Bucks England Johannes Kepler Univ Linz Dept Ophthalmol Linz Austria Augen & Laserklin Castrop Rauxel Castrop Rauxel Germany
Background The corneal back surface is known to add some against the rule astigmatism, with implications in cataract surgery with toric lens implantation. This study aimed to set up and validate a deep learning algori... 详细信息
来源: 评论
Application of light sensor localization based on deep learning algorithm in tourist path recommendation in cultural scenic spots
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OPTICAL AND QUANTUM ELECTRONICS 2024年 第2期56卷 238-238页
作者: He, Wei Yinchuan Univ Energy Sch Business Yinchuan 750021 Ningxia Peoples R China
In response to the personalized needs of the tourism industry, intelligent tourism planning services should be adopted. Through artificial intelligence and Big data technology, users' travel preferences, time, bud... 详细信息
来源: 评论
Detection and automatic identification of loess sinkholes from the perspective of LiDAR point clouds and deep learning algorithm
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GEOMORPHOLOGY 2024年 465卷
作者: Jiang, Zongda Hu, Sheng Deng, Hao Wang, Ninglian Zhang, Fanyu Wang, Lin Wu, Songbai Wang, Xingang Cao, Zhengwen Chen, Yixian Li, Sisi Northwest Univ Shaanxi Key Lab Earth Surface Syst & Environm Carr Xian 710127 Peoples R China Northwest Univ Sch Informat Sci & Technol Xian 710127 Peoples R China Northwest Univ Coll Urban & Environm Sci Xian 710127 Peoples R China Northwest Univ Inst Earth Surface Syst & Hazards Xian 710127 Peoples R China Lanzhou Univ Dept Geol Engn MOE Key Lab Mech Disaster & Environm Western China Lanzhou 730000 Peoples R China Northwest Univ Dept Geol State Key Lab Continental Dynam Xian 710069 Peoples R China
Nowadays, the detection and automatic identification of the three-dimensional structure of sinkholes is extremely lacking, which has resulted in significant gaps in sinkholes mapping, soil erosion estimation and morph... 详细信息
来源: 评论
Computer vision for automatic detection and classification of fabric defect employing deep learning algorithm
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INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY 2019年 第4期31卷 510-521页
作者: Jeyaraj, Pandia Rajan Nadar, Edward Rajan Samuel Mepco Schlenk Engn Coll Dept Elect & Elect Engn Sivakasi India
Purpose The purpose of this paper is to focus on the design and development of computer-aided fabric defect detection and classification employing advanced learning algorithm. Design/methodology/approach To make a fas... 详细信息
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Colorimetric microneedle sensor using deep learning algorithm for meat freshness monitoring
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CHEMICAL ENGINEERING JOURNAL 2024年 481卷
作者: Wang, Jie Xia, Linlin Liu, Han Zhao, Chong Ming, Siyu Wu, Jingyi Nanjing Agr Univ Coll Artificial Intelligence Nanjing 210031 Peoples R China Nanjing Agr Univ Coll Food Sci & Technol State Key Lab Meat Qual Control & Cultured Meat De Nanjing 210095 Peoples R China Nanjing Agr Univ Nanjing Peoples R China
Currently, the developed testing methods determining meat freshness are time-consuming, inconvenient, or have high specialty requirements. Herein, we proposed a colorimetric microneedle sensor (CMS) using a deep learn... 详细信息
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Object-oriented remote sensing image information extraction method based on multi-classifier combination and deep learning algorithm
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PATTERN RECOGNITION LETTERS 2021年 141卷 32-36页
作者: Tan, Qulin Guo, Bin Hu, Jun Dong, Xiaofeng Hu, Jiping Beijng Jiaotong Univ Sch Civil Engn Beijing 100044 Peoples R China Beijng Jiaotong Univ Inst Spatial Informat Line Engn Beijing 100044 Peoples R China Weifang Engn Vocat Coll Dept Architectural Engn Weifang 262500 Shandong Peoples R China Beijng Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China Beijng Jiaotong Univ Acad Urban Planning & Design Beijing 100044 Peoples R China
In recent years, high spatial resolution remote sensing technology has made significant progress. High resolution remote sensing satellites provide great convenience for high-quality image acquisition. In order to ada... 详细信息
来源: 评论
Sparse Representation Classification of Tobacco Leaves Using Near-Infrared Spectroscopy and a deep learning algorithm
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ANALYTICAL LETTERS 2018年 第7期51卷 1029-1038页
作者: Zhang, Jianqiang Liu, Weijuan Hou, Ying Qiu, Changgui Yang, Shuangyan Li, Changyu Nie, Linru Yunnan Reascend Tobacco Technol Grp Co Ltd Kunming 650000 Yunnan Peoples R China Kunming Univ Sci & Technol Fac Sci Kunming Yunnan Peoples R China Yunnan Comtestor Co Kunming Yunnan Peoples R China
A spare representation classification method for tobacco leaves based on near-infrared spectroscopy and deep learning algorithm is reported in this paper. All training samples were used to make up a data dictionary of... 详细信息
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