In an era where visual content dominates digital interaction—whether through security cameras, social media clips, or live ...

A novel approach combining deep learning and fluorescence spectroscopy promises real-time food safety checks, enhancing ...

In an earlier collaborative project, Ceva worked with CERN on the trigger system of the Large Hadron Collider (LHC), a sophisticated real-time filtering mechanism that deals with the torrent of ...

An Iterative Reconstruction Algorithm Based on Detail Transfer for Few-View Computed Tomography. Journal of Signal and ...

AI-powered biosensors can analyze intricate datasets from sensors in real time. Machine learning and deep learning algorithms ...

We live in a world saturated with moving images. From the security camera on the street corner to the live stream on your ...

ROSEN has developed a new approach to support operators in overcoming these limitations. MFL Data Fusion merges the strengths ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling proactive system optimization and enhanced performance. The convergence of machine ...

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 ...

Abstract: Orthogonal Frequency Division Multiplexing with Index Modulation (OFDM-IM) is regarded as a promising candidate for next generation communications due to its remarkable efficiency and ...

The Multi-static Active Coherent Enhancements (MAC-E) is an active sonar system composed of source and receiver sonobuoys used by the P-8 during ASW missions. The Naval Air Test and Evaluation ...