Abstract: Real-time minimization of line loss is a great challenge for conventional distributed control methods in medium-voltage DC distribution system (MVDC-DS), which may lead to low efficiency and ...
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Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Abstract: This article introduces an innovative motion planning algorithm for autonomous mobile robots, specifically focusing on quadrotor unmanned aerial vehicles (UAVs), utilizing a gradient descent ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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