Abstract: We proposed a novel diagnostic framework, termed adaptive radial feature extraction framework (ARFEF), for simultaneous detection and grading of mixed-subtype cataracts using single ...
The approach combines scanning electron microscopy with a computer vision model and a web-based application to automatically classify pollen grains based on their microscopic surface features. Its ...
Accurate diagnosis of vertigo remains a common neurological challenge, with the urgent need to distinguish between benign peripheral causes, such as vestibular neuritis, and potentially ...
Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
Software development is associated with the idea of not reinventing the wheel, which means developers often select components or software libraries with pre-built functionality, rather than write code ...
ABSTRACT: Time series anomaly detection is important in fields such as industrial control, but faces challenges such as data distribution drifting over time, diverse normal patterns, and training data ...
PARIS--(BUSINESS WIRE)--Genomines, a company pioneering the future of metal extraction with efficient, plant-based metal farming, today announced it has raised an oversubscribed $45 million Series A.
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