For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
A research team has developed a deep learning–based phenotyping pipeline called SpikePheno to decode the complex architecture of wheat spikes that directly determines grain yield.
The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ZEF ...
Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...
You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Introduction: Promoting green building practices is essential in addressing climate change and achieving sustainable development goals. Green building evaluation plays a critical role in assessing ...
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