Advanced computational models enhance understanding, diagnoses of neuropsychiatric and neurological diseases
Major depressive disorder (MDD) is a serious mental health condition that impacts individuals of all ages, including children ...
Machine learning approach simulates geochemical element concentrations in rocks and stream sediments
Researchers led by Prof. Li Nuo from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have ...
Instant Scholar: Smartphone motion sensors pose severe security risk; Study exposes PIN inference attack
A study published in the IEEE Sensors Journal reveals a significant security vulnerability in modern smartphones that could ...
EurekAlert!16d
Breakthrough in MAX phases: Machine learning unlocks new materials
In a bid to explore MAX phases with experimental significance across a significantly broader combinatorial space, the ...
Medindia12d
Explainable Artificial Intelligence (XAI) for Brain Tumor Diagnosis
Discover how AI and DNA methylation revolutionize brain tumor diagnosis, increasing accuracy, and identifying new therapeutic ...
Dhaka Tribune1d
IUB student develops AI model to improve Dhaka’s electricity distribution, reduce load shedding
An artificial intelligence-driven model developed by Halima Haque, graduate student at Independent University, Bangladesh, ...
Hosted on MSN23d
New remote sensing method to continuously monitor primary forest loss
but this study successfully classified those primary forests using a random forest machine learning model." Suh says the accuracy of the map was verified by their collaborator and co-author S.