Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
IEEE

Griesmer Type Bounds for Nonlinear Codes and Their Applications

Abstract: In this paper, we propose three Griesmer type bounds for the minimum Hamming weight of complementary codes of linear codes. Infinite families of complementary codes meeting the three ...
IEEE

Usage of Markov Metric in Decoding of Convolutional Codes in Two-State Channels

Abstract: The article discusses the data transmission using convolutional codes over channels where the noise process can be described by a Markov chain with two states: a simple binary Markov channel ...
GitHub

Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising

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 ...
GitHub

GitHub - shubhhamydv/codes.on.notes: A full-stack DSA learning platform with visual explanations, Hinglish breakdowns, code playground & streak tracking — built for Indian ...

Codes on Notes 🚀 DSA Learning Platform — Full Stack Setup Guide LeetCode-style problems with visual explanations and downloadable Hinglish PDFs Built with Next.js 14 · Prisma · PostgreSQL · NextAuth ...