Research on drug side effects contributes to reducing health risks for patients and decreasing drug development costs. In recent years, machine learning methods have emerged as prominent tools to support analyzing and...
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Recently, technology has put the limelight on every industry, which ends in an overload of massive data that might be resolved using efficient recommender systems. The recommendation system is handy to accommodate lar...
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Classifying breast cancer into metastatic non-metastatic is crucial for a women that undergoing for surgery, because of the heavy treatment associated with metastatic cancers. With the advancement of micro array techn...
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Face recognition technology plays a major role in identification of a person and a subset of machine vision. Managing the attendance manually becomes a time-consuming and challenging operation in our day-to-day life. ...
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Text summarization plays a pivotal role in condensing crucial information from huge volumes of text. This study investigates the utilization of pre-trained transformer models within the domain of text summarization, w...
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Optical Coherence Tomography Angiograph (OCTA) is an innovative imaging technique that non-invasively visualizes retinal vasculature (RV) and the foveal avascular zone (FAZ) of retina. Accurate segmentation of these r...
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Usable security is an area of active research. Several factors needs to be considered while making the security usable. As the digital platforms have evolved into the primary source of information and service consumpt...
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Human facial expression is one of the expressions of inner emotion, which is an important means of emotional communication between people. With the development of artificial intelligence, human facial expression recog...
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Network impairment simulation is designed to simulate different Internet network environments on a local area network(LAN) and provide testing environments for different services under various network conditions (late...
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Medical image anomaly detection refers to machine learning techniques to analyze and identify lesions and abnormalities in them. However, in medical images, anomaly samples are usually sparse, which can lead to superv...
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