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检索条件"任意字段=Real-Time Image Processing and Deep Learning 2024"
16405 条 记 录,以下是4441-4450 订阅
排序:
Anomaly Detection in Spacecraft Telemetry: Forecasting vs. Classification  15
Anomaly Detection in Spacecraft Telemetry: Forecasting vs. C...
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15th Space Computing Conference
作者: Lakey, Daniel Schlippe, Tim IU Int Univ Appl Sci Berlin Germany
Anomaly detection in spacecraft telemetry is critical for the success and safety of space missions. Traditional methods often rely on forecasting and threshold techniques to identify anomalies [1]-[5]. This paper pres... 详细信息
来源: 评论
Road type classification using deep learning for Tire-Pavement interaction noise data in autonomous driving vehicle
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APPLIED ACOUSTICS 2023年 第1期212卷
作者: Lee, Sang -Kwon Yoo, Jinhwan Lee, Chang-Hun An, Kanghyun Yoon, Young -Sam Lee, Jaehun Yeom, Gi-Ho Hwang, Seoung-Uk Inha Univ Acoust & Vibrat Signal Proc Lab Incheon South Korea Hyundai Motor Co Seoul South Korea NEXEN Tire Corp Yangsan South Korea
This study presents a novel artificial intelligence model (AIM) for the real-time classification of 13 different road types in an autonomous vehicle. The model was developed based on a combination of a continuous wave... 详细信息
来源: 评论
Research on online measurement method of fineness modulus of manufactured sand based on deep learning
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CONSTRUCTION AND BUILDING MATERIALS 2024年 414卷
作者: Huang, Feizhi Yang, Jianhong Fang, Huaiying Pan, Weijun Wei, Yixing Huaqiao Univ Coll Mech Engn & Automat Xiamen 361021 Fujian Peoples R China
The fineness modulus(FM) represents the level of particle size of manufactured sand. real-time feedback of FM of manufactured sand is important for industrial sand production, but extracting the particle profile from ... 详细信息
来源: 评论
Spatial-channel transformer network based on mask-RCNN for efficient mushroom instance segmentation
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International Journal of Agricultural and Biological Engineering 2024年 第4期17卷 227-235页
作者: Jiaoling Wang Weidong Song Wengang Zheng Qingchun Feng Mingfei Wang Chunjiang Zhao Northwest Agriculture and Forestry University Xi’an 712199China Nanjing Institute of Agricultural Mechanization Ministry of Agriculture and Rural AffairsNanjing 210014China Intelligent equipment Technology Research Center Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China Zhejiang Provincial Key Laboratory of Agricultural Intelligent Equipment and Roboics/College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China
Edible mushrooms are rich in nutrients;however,harvesting mainly relies on manual *** localization of each mushroom is necessary to enable a robotic arm to accurately pick edible *** studies used detection algorithms ... 详细信息
来源: 评论
Efficient Temporally-Aware deepFake Detection using H.264 Motion Vectors
Efficient Temporally-Aware DeepFake Detection using H.264 Mo...
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IS and T International Symposium on Electronic Imaging 2024: Media Watermarking, Security, and Forensics, MWSF 2024
作者: Grönquist, Peter Ren, Yufan He, Qingyi Verardo, Alessio Süsstrunk, Sabine Image and Visual Represenation Lab École Polytechnique Fédérale de Lausanne Lausanne Switzerland
Video deepFakes are fake media created with deep learning (DL) that manipulate a person's expression or identity. Most current deepFake detection methods analyze each frame independently, ignoring inconsistencies ... 详细信息
来源: 评论
An Efficient Information-Reinforced Lidar deep Completion Network without RGB Guided
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REMOTE SENSING 2022年 第19期14卷 4689-4689页
作者: Wei, Ming Zhu, Ming Zhang, Yaoyuan Sun, Jiaqi Wang, Jiarong Chinese Acad Sci Changchun Inst Opt Fine Mech & Phys Changchun 130033 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China
Due to the sparsity of point clouds obtained by LIDAR, the depth information is usually not complete and dense. The depth completion task is to recover dense depth information from sparse depth information. However, m... 详细信息
来源: 评论
LIGHTWEIGHT DUAL-DOMAIN NETWORK FOR real-time MEDICAL image SEGMENTATION  29
LIGHTWEIGHT DUAL-DOMAIN NETWORK FOR REAL-TIME MEDICAL IMAGE ...
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IEEE International Conference on image processing (ICIP)
作者: Liu, Libo Fan, Xinxin Zhang, Xiaodong Hu, Qingmao Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
With the development of deep learning, deep convolution neural networks for medical image segmentation tasks have become more and more complex in pursuit of higher accuracy. In most scenarios, medical image segmentati... 详细信息
来源: 评论
Automatic Fish Species Identification Using Convolutional Neural Networks (CNN)  4
Automatic Fish Species Identification Using Convolutional Ne...
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4th International Conference on Sustainable Expert Systems, ICSES 2024
作者: Mary, I. Mettildha Ragunthar, T. Priyadharsini, M. Shyam Krishnaa, H. Sujit, M.K. Tamil Nadu Coimbatore India Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Chennai India Vellore Institute Technology Department of Information Security Tamil Nadu Vellore India Siemens Healthineers Bangalore India Atheniac Bangalore India
Accurate identification of fish species is critical for applications in fisheries management., biodiversity monitoring., and conservation efforts. Conventional manual identification techniques take a lot of time and a... 详细信息
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Vehicle Detection, Counting and Classification Using YOLOv8 deep learning Model and OpenCV for Urban Traffic Management System  9
Vehicle Detection, Counting and Classification Using YOLOv8 ...
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9th International Conference on Communication and Electronics Systems, ICCES 2024
作者: Manoj, N. Mohana Manu, A.S. Mallikarjun, N.Y. Ramakanth Kumar, P. Sreelakshmi, K. Rv College of Engineering® Bengaluru India Rv College of Engineering® Bengaluru India Rv College of Engineering® Bengaluru India
In this paper YOLOv8 deep learning model is proposed for vehicle detection, classification, and counting for urban traffic surveillance applications on custom dataset. The model was trained with images and annotations... 详细信息
来源: 评论
deep Q-Network for Cognitive Radar Anti-Jamming Strategy in Complex Electromagnetic Environment  12th
Deep Q-Network for Cognitive Radar Anti-Jamming Strategy in ...
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12th China Conference on Command and Control
作者: Liu, Chunhui Yuan, Yue Mao, Shuo Wang, Qiancheng Wang, Ben Nanjing Marine Radar Inst Nanjing Peoples R China Natl Key Lab Elect Effect & Secur Marine Equipmen Nanjing Peoples R China
The contemporary landscape of sophisticated and intelligent jamming techniques presents significant challenges for traditional radar anti-jamming methods, necessitating advancements in radar operational capabilities. ... 详细信息
来源: 评论