Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister chromatid ...

Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...

This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Abstract: Cloud-fog architecture, as a hybrid distributed architecture, combines the powerful computing capabilities of cloud computing with the low-latency of fog computing, providing more efficient ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...