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APPLICABILITY OF MODERN PLANT DISEASE RECOGNITION MODELS TO FIELD CONDITIONS: A SYSTEMATIC REVIEW OF FIVE ARCHITECTURES

DEVELOPMENT OF A MODIFIED VIOLA-JONES ALGORITHM FOR FACE RECOGNITION

APPLICATION OF MACHINE LEARNING ALGORITHMS FOR CLASSIFICATION OF WEED VARIETIES

A REVIEW OF DEEP LEARNING METHODS FOR DETECTING CORROSION AND CRACKS IN INDUSTRIAL PIPELINES

SEMANTIC SEGMENTATION DEEP LEARNING MODELS IN ECHOCARDIOGRAPHY: CUSTOM DATASET-BASED FINE-TUNING