This project aimed to assess the performance of attention extended LSTM and Gated Recurrent Unit models in stock price movement forecasting. The traditional models suffer from the challenges due to ...

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly predicted severe diabetes complications for Maryland Medicare ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

Predictive maintenance combines data science and IoT to prevent equipment failures before they occur. In this talk, I’ll demonstrate how machine learning models can analyse sensor data from industrial ...

Negative emotionality is a core dimension of infant temperament, characterized by heightened distress, reactivity, and difficulty with self-regulation. It has been consistently associated with later ...

This package is a part of trRosettaRNA2, a deep learning-based RNA structure prediction protocol. Starting from an MSA, the trRosettaRNA2 pipeline comprises the following steps: Secondary structure ...

The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...

Research conducted at the University of Copenhagen (Denmark) investigated the relationship between chemical composition and consumer liking, using Vivino ratings as quality endpoints. Researchers from ...

Abstract: For the past decade, cardiac infection is the important source of death for several populations around world. Nowadays, heart attacks occurring in the younger generation are becoming common.