Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
The data being produced by EDA tools tends to be for human consumption and has weak semantics. Agents are attempting to create actionable information from unstructured data. The Model Context Protocol ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
For Kelly Marsh, the pandemic wasn’t just a global health concern — it was a constant battle between a toddler’s curiosity and a kindergartner’s digital classroom. Nearly six years ago, the covid-19 ...
Study Rundown: Parkinson’s disease (PD) is the fastest-growing neurodegenerative disorder. However, access to clinical diagnosis is challenging due to a shortage of trained neurologists, especially in ...
Abstract: The early detection of brain hemorrhages and tumors is vital for improving patient outcomes and providing timely medical help. Traditional methods that depend on manual interpretation of MRI ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...
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