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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
The improvement of innovations in science, technology and industry is happening in a current trend because of hybrid many-core Graphical processing units (GPUs), and multi-core central processing ...
This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The wind power ...
python machine-learning r linear-regression scikit-learn high-dimensional-data feature-selection logistic-regression cox-regression principal-component-analysis classification-algorithm ...
For our PAI course project, we are building several disease prediction systems, including heart disease, diabetes, Parkinson's, and breast cancer classification. Using machine learning algorithms, we ...
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