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 data preprocessing. If you''ve ever built a predictive model, worked on a ...
IEEE

Representative Batch Normalization with Feature Calibration

Abstract: Batch Normalization (BatchNorm) has become the default component in modern neural networks to stabilize training. In BatchNorm, centering and scaling operations, along with mean and variance ...

JEE Main 2026 scores: How NTA JEE Main Session 1 results are prepared? Know about Normalization process

The JEE Main 2026 Session 1 Paper-1 was conducted in multi-shifts, and the NTA scores will be calculated corresponding to the raw (actual) marks obtained by a candidate.
CoinDeskOpinion

Why normalization of digital asset treasuries is the next big business trend

Crypto’s “wild west” era for companies is ending as DATs enter a new phase of normalcy, says AVAX One's Jolie Kahn.
IEEE

Batch Normalization Damages Federated Learning on NON-IID Data: Analysis and Remedy

Abstract: Batch normalization (BN) has been widely used for accelerating the training of deep neural networks. However, recent findings show that, in the federated learning (FL) scenarios, BN can ...