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Machine Learning and Computer Vision Techniques in Bee Monitoring Applications., , , , , , , , , and . CoRR, (2022)Structure Analysis of the FRP Rebar Using Computer Vision Techniques., and . CoRR, (2023)Toward phytoplankton parasite detection using autoencoders., , , , , , , , , and 2 other author(s). Mach. Vis. Appl., 34 (6): 101 (November 2023)SIFT and SURF based feature extraction for the anomaly detection., and . CoRR, (2022)Varroa destructor detection on honey bees using hyperspectral imagery., , , , , , and . CoRR, (2024)Performance Evaluation of CNN Based Pedestrian and Cyclist Detectors On Degraded Images, , , , , and . International Journal of Image Processing (IJIP), 15 (1): 1 - 13 (February 2021)Semi-supervised deep learning approach to break common CAPTCHAs., , , , and . Neural Comput. Appl., 33 (20): 13333-13343 (2021)Towards Phytoplankton Parasite Detection Using Autoencoders., , , , , , , , , and 2 other author(s). CoRR, (2023)Raspberry Pi Bee Health Monitoring Device., , and . CoRR, (2023)Feature space reduction as data preprocessing for the anomaly detection., and . CoRR, (2022)