Zhang is part of a research team that has developed a deep learning model to detect mental health symptoms and risk factors ...

Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and ...

Easy to Use — Download the asset and start using it immediately. Enhance Your Career — This seven-page PDF looks at languages, patience, habits, fun, and other useful ideas. Expert Guidance ...

Sitting in front of a computer screen for five hours a day can dramatically increase the risk of depression and insomnia, new research suggests. Previous studies have focused on how too much ...

See how firms from Goldman Sachs to Bridgewater are using it. Welcome to Wall ... Marco Argenti, and head of machine learning quants, Dimitris Tsementzis, say we are at an inflection point with ...

framework to overcome the limitations of single-modal approaches and data fusion in depression detection from audio and text. The mDRA leverages advanced neural network models, including a BiLSTM ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI. Participants will explore EDA, train multiple models, evaluate their ...

Abstract: Intelligent Transportation Systems (ITS) occupy a pivotal position in the contemporary societal landscape, with one of their widespread applications being the vehicle routing problem, ...

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