Search Results - "object detection algorithms"
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Source: Engineering, Technology & Applied Science Research. 15:25492-25498
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Authors: et al.
Source: Proceedings of the 2025 2nd International Conference on Computer and Multimedia Technology. :229-235
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Authors:
Source: Pattern Recognition and Image Analysis. 35:219-224
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Authors: et al.
Source: 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL). :1013-1017
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Authors: et al.
Source: Journal of Applied Engineering Sciences. 15:135-144
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Authors: et al.
Contributors: et al.
Subject Terms: deep learning, object detection, Medical imaging, bibliometric analysis, qualitative analysis, quantitative analysis, General, SDG 3 - Good Health and Well-being
File Description: application/pdf
Relation: 2405-8440; PURE: 104701975
Availability: http://hdl.handle.net/10362/176499
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Authors: et al.
Source: SoutheastCon 2025. :1085-1090
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Source: Civil and Environmental Engineering Reports. 35:177-189
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Authors: et al.
Source: 2025 International Conference on Computer, Electrical & Communication Engineering (ICCECE). :1-6
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Source: 2025 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). :1-6
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Source: 2025 IEEE Applied Sensing Conference (APSCON). :231-234
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Authors: et al.
Source: 2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS). :1-6
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2412.05252
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Authors: Qiyan Guo
Source: Proceedings of the 2nd International Conference on Data Science and Engineering. :199-203
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Authors: et al.
Source: IEEE Sensors Reviews. 2:304-323
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Source: IEEE Access, Vol 13, Pp 125676-125688 (2025)
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Source: Proceedings of the International Scientific Conference - Sinteza 2025. :524-530
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Research Progress on Multi-Modal Fusion Object Detection Algorithms for Autonomous Driving: A Review
Authors: et al.
Source: Computers, Materials & Continua. 83:3877-3917
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Authors: Xiangjin Kong
Source: Applied and Computational Engineering. 80:52-58
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Comparative Study of Vision-Based and LiDAR-Based Object Detection Algorithms for Autonomous Driving
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Source: Transactions on Computer Science and Intelligent Systems Research. 7:301-308
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Source: Journal of Engineering Research and Reports. 26:88-99
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