This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...
Researchers designed and optimized a grid-connected hybrid energy storage system that combines solar PV, batteries, and ...
AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.
In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Early detection of individuals at high risk of disease onset is crucial for health-care systems to cope ...
Abstract: This study investigates the application of advanced fine-tuned Large Language Models (LLMs) for Turkish Sentiment Analysis (SA), focusing on e-commerce product reviews. Our research utilizes ...
Introduction Patient safety event reporting systems are widely used, yet organisations face challenges analysing the high volume of incident reports. While low-harm events represent the majority of ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
In a dispute over a Louisiana voting map, the conservative majority signaled it might prohibit using race as a factor in creating election districts. Resulting redistricting could let states cement ...
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