Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU computing, and automatic gradients.Com ...
IEEE

A Novel-Deep-Neural-Network-Architecture-Based GAN-DRANet for DOA Sensing With an Enhanced Performance in Low SNR

Abstract: In extremely low signal-to-noise ratio (SNR) region, the useful features of the signal are weakened by higher-power noise, making it difficult for conventional direction-of-arrival (DOA) ...

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
AZoM on MSN

Why Deep Learning De-Noising is a Game Changer for X-Ray Technology

Discover how deep learning–based de-noising enhances X-ray inspection—producing clearer images and reducing false results.
IEEE

MAML-KalmanNet: A Neural Network-Assisted Kalman Filter Based on Model-Agnostic Meta-Learning

Abstract: Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks ...