A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
AI writing tools are now part of daily life. Students use them for essays. Professionals use them for emails. Marketers use them for blog drafts. Many ...
The FDA classifies the recall as a Class II risk level—a moderate risk associated with the consumption of the recalled ...
Abstract: Processing high-dimensional data cubes and developing high-performance classifiers are core objectives in the field of hyperspectral image classification (HSIC). Superpixel-based methods are ...
Abstract: Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are.
Introduction: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions ...
ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
The analysis involved the extraction of statistical features from the raw vibrational signals, and these features were subsequently subjected to classification using a range of machine learning and ...
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