Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a new method combining deep learning with physical radiative transfer ...
Autonomous navigation is a technology that enables Unmanned Aerial Vehicles (UAVs) to perceive its surroundings using onboard sensors and navigate safely and efficiently from a starting point to a ...
Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
Multimodal HCC TME data (high-throughput sequencing, protein expression, and time-series imaging) were integrated. Spatial features were extracted using convolutional neural networks (CNNs), while ...
This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...
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