Abstract: In this letter, classification of various human activities based on micro-Doppler signatures is studied using linear predictive coding (LPC). LPC is proposed to extract the features of micro ...

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...

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EyeBench is the first benchmark designed to evaluate machine learning models that decode cognitive and linguistic information from eye movements during reading. It provides a standardized, extensible ...

On June 13, 2024, the European Union unveiled the world’s first comprehensive legislation dedicated to artificial ...

We need more synthetic data in some areas, wearables and medical imaging cannot be substitutes, anonymisation is crucial but ...

Nvidia is No. 1 in The Wall Street Journal’s inaugural ranking of Best Companies for the Future, topping a list heavy on tech stalwarts as artificial intelligence reshapes business. The chip maker is ...

The main purposes of research in cholangiocarcinoma (CCA) are prevention, early diagnosis and the development of effective therapies tailored to each patient’s clinical course and general condition.1 ...

Spectral AI, Inc. (Nasdaq: MDAI) (“Spectral AI” or the “Company”) , an artificial intelligence (AI) company focused on medical diagnostics for faster and more accurate treatment decisions in wound ...

Developed by CGI's team in Italy, Insula processes and harmonizes large volumes of satellite data, enabling advanced analytics such as trend detection, anomaly monitoring and predictive modelling. For ...

Background and Purpose The limited walking ability that follows a stroke restricts the patient’s independent mobility about the home and community, a significant social handicap. To improve the ...