Abstract: Analyzing time series data in industrial settings demands domain knowledge and computer science expertise to develop effective algorithms. AutoML approaches aim to automate this process, ...

Abstract: To achieve the better navigation performance of a mobile robot in the unknown environments, a novel human-robot hybrid system incorporating a motor-imagery (MI)-based brain teleoperation ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

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Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Whitepaper " How Can AI Accelerate Science, and How Can Our Government Help? ", Tom Mitchell, July 2024. Overview paper Artificial Intelligence: History, Status, and Futures , Eric Horvitz and Tom ...

Pulmonary embolism accounts for 10–15% of all paediatric venous thromboembolism (VTE) events, with an annual incidence of 0·14–0·9 per 100 000 children.1,2 Although rare, pulmonary embolism is a ...

Background The prompt and precise diagnosis of active pulmonary tuberculosis (TB) is crucial for controlling this disease and ...

Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...