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 ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
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 ...
The former, a repurposed Electrolux facility, went online in September 2024, only 122 days after construction began. The ...
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
Technical and strategic roles alongside those requiring human judgement and connection are on the rise Read more at The ...
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 ...
Morning Overview on MSN
How CUDA turned NVIDIA into the unstoppable AI powerhouse
NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...
The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new start-up ...
Abstract: Maximum Distance Profile (MDP) convolutional codes are an important class of channel codes due to their maximal delay-constrained error correction ...
Learn With Jay on MSN
Max pooling in CNNs explained for deep learning
In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...
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