One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

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 ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Most edge AI demonstrations operate flawlessly in controlled environments with stable networks, predictable traffic, and ...

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

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

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 ...

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