Initial attempt: classification of Simmental cattle based on body conformation using machine learning by Schulenburg, Suzette

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Three-Dimensional Body Volume Measurement From Two-Dimensional Images: Towards A Smartphone Application by Majola, Khwezi

“…Regarding a pathway to a smartphone app, camera parameter information should be considered to improve processing of the images and smartphone orientation information should be considered to correct for distortions due to a tilted phone.…”
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Assessment of behaviour and egg production of laying hens kept in cages and floor systems on a commercial farm in South Africa

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Fire Investigations for Informal Settlements by Flores Quiroz, Natalia

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The relationship between tackle technique and external load of a simulated tackle by Paul, Lara

“…Background: Monitoring players in training and matches is important to ensure players are adequately prepared for competition demands, reducing injury risk and enhancing performance. …”
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Mapping real-world objects into virtual reality to facilitate interaction using 6dof pose estimation by Pelser, Stefan

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Automated analysis of digital medical images in cervical cancer screening: A systematic review by Ledwaba, Leshego

“…The pertinent algorithms were those developed for devices designed with a mobile phone or tablet, which were the Pocket Colposcope, MobileODT EVA Colpo, Smartphone Camera, Smartphone-based Endoscope System, Smartscope, Mobile high resolution micro-endoscopy (mHRME), and Pi high resolution micro-endoscopy (PiHRME). …”
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Design of a man-wearable control station for a robotic rescue system by Fong, Wai K

“…It includes an internal sensor payload which incorporates an array of sensors and electronics, including temperature monitors and two cameras to provide both a normal and IR video feed. …”
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Automated detection and classification of red roman in unconstrained underwater environments using Mask R-CNN by Conrady, Christopher

“…The availability of relatively cheap, high-resolution digital cameras has led to an exponential increase in the capture of natural environments and their inhabitants. …”
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Developing a concept that can be used to quantify the motion of flyrock, with the intention of eventually producing a measuring tool for future flyrock research.

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Markerless versus marker-based 3D human pose estimation for strength and conditioning exercise identification. by Deyzel, Michael

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Rail surface anomaly detection : a deep learning . approach for computer vision

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Rail surface anomaly detection : a deep learning approach for computer vision

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Sensor Data Fusion For Air Quality Monitoring by hesham, Mirna

“…Since traditional air quality monitoring methods often rely on geographically sparse and costly air quality monitoring stations, image-based air quality method- ologies are recently offering a compelling alternative that utilizes images from sources like satellites, traffic cameras, and even smartphones to monitor pollution levels by using estimation models, image-processing techniques, and deep-learning models. …”
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Detection and Isolation of Prey Capture Events in Animal-Borne Images by Chirwa, Temweka S

“…With recent advancements in technology, data collection has become more accessible, and animal-borne video cameras are an increasingly popular mechanism for collecting information about foraging and other behaviour. …”
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EMG-based eye gestures recognition for hands free interfacing by Zahran, Ahmed

“…The Rapid Blinks and the Squints were having high F1 Scores of 80.77% and 85.71% for the Trained Thresholds, as well as 87.18% and 82.12% for the Default or manually adjusted thresholds. …”
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A study of breakwater gap wave diffraction using close range photogrammetry and finite and infinite elements. by Pos, John Daniel

“…Using this technique it was found that, with the cameras situated approximately 5 m above the water surface, the wave heights in the basin can be measured with an accuracy of better than 2 mm. …”
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Automated pre-impact fall detection by Swanepoel, Mia

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