Results 11 to 20 of about 213,329 (165)
SCueU-Net: Efficient Damage Detection Method for Railway Rail
IEEE Access, 2020 Automatic detection of industrial product damage using machine learning is a promising research area. At the same time, various machine learning methods based on convolutional neural networks have a very important role in the application of visual ...
Jun Lu +7 more
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AIP Advances, 2023 Due to the influence of the connection distance between the mutual inductor primary circuit and the metering device secondary circuit, the detection induced current of the traditional method is extremely small, which cannot accurately detect the ...
Haibin Chen +6 more
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Automatic chessboard corner detection method
IET Image Processing, 2016 Chessboard corner detection is a necessary procedure of the popular chessboard pattern‐based camera calibration technique, in which the inner corners on a two‐dimensional chessboard are employed as calibration markers. In this study, an automatic chessboard corner detection algorithm is presented for camera calibration.
Yu Liu +3 more
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The economics of sensor-based management of dairy cow suboptimal mobility
Journal of Dairy Science, 2022 : Suboptimal mobility (SOM) is a costly health condition in dairy production. Current SOM management is based on visual SOM detection by farm staff. This often leads to cows with severe SOM being detected and promptly treated, whereas the detection and ...
Francis Edwardes +2 more
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Scientific Reports, 2023 Ground Penetrating Radar (GPR) is one of the most used devices for road structural damages detection. However, due to the different roadbed conditions and various disturbances in the nearby environment during detection, there are great difficulties in ...
Lei Liu +7 more
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Red Blood Cells Detecting Depending on Binary Conversion at Multi Threshold Values
Al-Mustansiriyah Journal of Science, 2022 Automatic detection of Red Blood Cells (RBCs) by using image-processing techniques is important in determining blood disorders and diseases. This study proposes an algorithm for automatic detection of red blood cells in optical microscopy images of blood
Ali S. Lefta +2 more
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Detection Method for Heap Overflow fastbin Attack Based on Symbolic Execution [PDF]
Jisuanji gongcheng, 2020 The existing automatic detection systems for software vulnerabilities fail to automatically detect the programs with heap overflow vulnerabilities.To address the problem,this paper proposes an automatic detection method for heap overflow fastbin attacks ...
ZHAO Chao, PAN Zulie, FAN Jing
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Robust Automatic Facial Expression Detection Method
Journal of Software, 2013 Recently, the recognition of occluded facial expressions attract more and more people’s attention . Sparse representation based classification (SRC) method gives good performance on face recognition (FR) and facial expression recognition (FER), well-known for its robustness to occlusion.
Yan OuYang, Nong Sang
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IMPACT OF IMAGE RESOLUTION ON PAVEMENT DISTRESS DETECTION USING PICUCHA METHODOLOGY [PDF]
Civil Engineering Journal, 2016 An accurate and regular survey of the road surface distresses is a key factor for pavement rehabilitation design and management, allowing public managers to maximize the value of the continuously limited budgets for road improvements and maintenance ...
Reus Salini, Bugao Xu, Mena Souliman
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Self-Correction Ship Tracking and Counting with Variable Time Window Based on YOLOv3
Complexity, 2021 Automatic ship detection, recognition, and counting are crucial for intelligent maritime surveillance, timely ocean rescue, and computer-aided decision-making. YOLOv3 pretraining model is used for model training with sample images for ship detection. The
Chun Liu, Jian Li
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