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 ...

The study highlights that autonomous vehicle infrastructure presents a large and complex attack surface. Vehicles now contain ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Technical and strategic roles alongside those requiring human judgement and connection are on the rise Read more at The ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

The former, a repurposed Electrolux facility, went online in September 2024, only 122 days after construction began. The ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Abstract: In this research paper, we present a novel method for obtaining the patterns of inputs that generate low-weight codewords in Recursive Systematic Convolutional (RSC) codes, hereafter ...

Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...

In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...

Trying to find the newest Rivals codes? This Roblox shooter made by Nosniy Games is all about battling it out in 1v1 to 5v5 matches until one side achieves the five wins needed for victory. All tested ...

January 8, 2026: We're still searching for new AUT codes for the post-holiday blues. What are the new AUT codes? If you're trying to get ahead of the competition in A Universal Time on Roblox, we've ...