Researchers designed and optimized a grid-connected hybrid energy storage system that combines solar PV, batteries, and ...

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 ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Based Navigation, and AI-optimized design systems to deliver website redesign services that double conversion rates and cut ...

Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...

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.

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

AI has shifted from a supportive technology into the core engine of digital product development. In my project experience ...

BACKGROUND: Genetic variants in components or regulators of the RAS-MAPK signaling pathway are causative for severe and early-onset hypertrophic cardiomyopathy (HCM) in patients with Noonan syndrome ...

Danquah, P. and Bekoe, S. (2026) Cyber Deception and Theft: A Critical Review. Journal of Information Security, 17, 149-166.

The mining project of MCC Jiangxi Copper Aynak Mining Co., Ltd. in Afghanistan is of strategic and economic importance. However, the region’s long-term conflict has disrupted the local talent ...