TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Fast Transfer Learning Method Using Random Layer Freezing and Feature Refinement Strategy

Abstract: Recently, Moore-Penrose inverse (MPI)-based parameter fine-tuning of fully connected (FC) layers in pretrained deep convolutional neural networks (DCNNs) has emerged within the inductive ...
IEEE

Load Transfer Strategy Recommendation Method for Distribution Networks Augmented by ...

Abstract: To address the issue of load shedding in the event of N-1, N-2, and other faults in the distribution network, this paper proposes a load transfer strategy recommendation method for ...