Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Abstract: Ultra-low-bitrate speech coding is pivotal for bandwidth-constrained communication and deep compression, yet maintaining naturalness and speaker identity at such extreme bit budgets remains ...

Abstract: Passive sonar systems offer stealth and low-energy consumption advantages while facing highly complex signal conditions. Underwater acoustic signal (UWAS) enhancement for passive sonar ...

This repository contains the experimental code for DUP-Net, an end-to-end train track anomaly detection framework using vehicle-mounted laser Doppler vibrometer (LDV) signals. The method converts ...

Synthesizing realistic audio, images, and videos using algorithms has always been essential in Signal Processing, Computer Graphics, and Computer Vision. When using pre-artificial intelligence (AI) ...

The Toronto Blue Jays’ first pick in July’s 2026 draft is 39th overall. Finishing as the American League pennant winner, the Jays went well over the Competitive Balance Tax’s second threshold, meaning ...

Ahead of Coachella’s highly-anticipated return, we’ve backtracked through the event’s musical evolution. From its early 2000s rock years to more recent pop and rap marquee names, we’ve also included ...

FRS/GMRS and pager show minor confusion (3 FRS→ISM, 2 pager→APRS) due to similar bursty transmission patterns. This is authentic ML behavior reflecting real signal similarity.

applies a pre-trained ResNet-50 model to the classification of radar range-time spectrograms. As shown in Table 5, MV-GLFNet achieves the best overall performance among the compared methods, with an ...