has been cited by the following article(s):
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[1]
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BiYO(5) - A Pioneering Approach for Vision Based Fall Detection Using Bidirectional Feature Pyramid Networks and YOLOv5
2026 Second International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS),
2026
DOI:10.1109/ICISCoIS62701.2026.11447775
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[2]
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Accuracy Improvement of CO2 Gas Sensor using Neural Network for Remote Sensing Application
2025 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS),
2025
DOI:10.1109/AGERS67633.2025.11446464
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[3]
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A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System
Journal of Imaging Informatics in Medicine,
2024
DOI:10.1007/s10278-024-01086-x
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[4]
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Identification of Rare Wildlife in the Field Environment Based on the Improved YOLOv5 Model
Remote Sensing,
2024
DOI:10.3390/rs16091535
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[5]
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Intelligent Systems Design and Applications
Lecture Notes in Networks and Systems,
2024
DOI:10.1007/978-3-031-64776-5_14
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[6]
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FD-Net: A Single-Stage Fire Detection Framework for Remote Sensing in Complex Environments
Remote Sensing,
2024
DOI:10.3390/rs16183382
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[7]
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Identification of Peanut Seed Quality Based on YOLOv5
Modeling and Simulation,
2023
DOI:10.12677/MOS.2023.126527
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[8]
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Objects detection theory for evaluating the city environmental quality
Frontiers in Ecology and Evolution,
2023
DOI:10.3389/fevo.2023.1310267
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[9]
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An Improved Yolov5s Algorithm for Emotion Detection
2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI),
2022
DOI:10.1109/PRAI55851.2022.9904113
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