This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
You will be redirected to our submission process. Integral transforms play a foundational role in applied mathematics, statistics, and theoretical physics, serving as powerful tools to tackle complex ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
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Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...
AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to enhance image quality and streamline operations. In busy CT and MRI departments, ...
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