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

Trainable Proximal Gradient Descent-Based Channel Estimation for mmWave Massive MIMO Systems

Abstract: In this letter, we address the problem of millimeter-Wave channel estimation in massive MIMO communication systems. Leveraging the sparsity of the mmWave channel in the beamspace, we ...
Daily Express

AirAsia flight plunges 24,000ft in emergency descent after issuing distress code

In the stillness of a night flight, a sudden alert sent ripples of concern through the cabin. What unfolded next was a testament to calm amidst chaos. An AirAsia aircraft executed an emergency landing ...
GitHub

Greedy-Gnorm: A Gradient Matrix Norm-Based Alternative to Attention Entropy for Head Pruning

Clone this repository and change into the project directory: If a CUDA-enabled GPU is available, we strongly recommend installing the GPU version of PyTorch and running the notebooks on GPU. GPU ...
IEEE

AlphaGrad: Normalized Gradient Descent for Adaptive Multi-Loss Functions in EEG-Based Motor Imagery Classification

Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...