DETECTION OF PITS IN OLIVE USING HYPERSPECTRAL IMAGING DATA

Detection of Pits in Olive Using Hyperspectral Imaging Data

The unknowing presence of pits in olives is an undesirable and even dangerous experience that affects overall quality of products contain olives or serving dishes in salad bars, airline meals, Lift Motor and cocktail lounges.Therefore, detection for removal of pits and pit fragments are very important for maintaining a high quality of products/serv

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Semi-universal geo-crack detection by machine learning

Introduction: Cracks are a key feature that determines the structural integrity of rocks, and their angular distribution can be used to determine the local or regional stress patterns.The temporal growth of cracks can be monitored in order to predict impending failures of materials or structures such as a weakened dam.Thus, cracks and their spatial

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Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides

Bioinformatics and genomics are driving a healthcare revolution, particularly in the domain of drug discovery for anticancer peptides (ACPs).The integration of artificial intelligence (AI) has transformed healthcare, enabling personalized and immersive patient care experiences.These advanced technologies, coupled with the power of bioinformatics an

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