Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Abstract: Polarization-adjusted convolutional (PAC) codes enhance polar codes by introducing a rate-1 convolutional pre-transformation. The performance of both polar codes and PAC codes relies on the ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...

Abstract: Convolutional neural network (CNN) and Transformer-based architectures are two dominant deep learning models for polyp segmentation. However, CNNs have limited capability for modeling ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...

Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...

Transformer research code is often difficult to reuse because architecture changes, benchmarking scripts, and demos are tightly coupled and poorly exposed. This repository addresses that gap by ...

Jin Ye, Jingran Wang, Fengchao Xiong, Jun Zhou, and Yuntao Qian, ["Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising"] TGRS 2025 Abstract: Hyperspectral images (HSIs) play ...

OBS Studio needs no introduction. It is one of the popular screen recording and streaming software. The software is completely free and open-source. It lets you record screen videos as well as stream ...