Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
A research team has developed a new UAV-based snapshot multispectral imaging crop-growth sensor (SMICGS) designed to simplify ...
Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...
Here’s a quick breakdown: Gaming: Focus on GPU, CPU, and fast RAM. Content Creation (Video/Photo Editing, 3D): Prioritize CPU cores, RAM capacity, and fast storage. General Use/Office Work: A balanced ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.
A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
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