Abstract: Existing ac/dc power flow computations necessitate sequential convergence-oriented trial-and-error under various dc control modes, rising computational ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback