Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
GridFM DataKit (gridfm-datakit) is a Python library for generating realistic, diverse, and scalable synthetic datasets for power flow (PF) and optimal power flow (OPF) machine learning solvers. It ...
The Flow blockchain is set to resume operations following a key decision by its validators to revert the network’s transaction ledger to a state before a major security breach late Friday, which ...
Flow Blockchain faces backlash after a $3.9M hack, as partners question a proposed rollback and its risks to users and trust ahead. Flow Blockchain entered a recovery phase after a $3.9 million ...
Flow blockchain is moving toward a full restart after shipping a protocol fix tied to an exploit that drained approximately $3.9 million via cross-chain bridges, according to a new update from the ...
Flow Blockchain restores network to pre-exploit checkpoint to remove unauthorized transactions. Users must resubmit transactions submitted during Dec 26–27 exploit window after restart. Mainnet 28 fix ...
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