Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Abstract: The design of traction machines for electric vehicles (EVs) typically aims to minimize total energy losses across an entire drive cycle, a process that can be highly time-consuming. To ...
AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...
Our paper utilizes four datasets; however, for simplicity, we provide dataset preparation code only for the UNC 3T-7T paired dataset. Other datasets can be prepared using similar code with minor ...
Abstract: Identifying anomalies in multivariate time series data for modern industrial production processes is becoming increasingly essential to prevent system failures, reduce downtimes, and enhance ...
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