Abstract: Current multi-band SAR feature extraction methods often fail to adequately exploit intra-band details and inter-band spectral relationships, limiting their classification performance. To ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...

The openfeature python sdk supports both sync and async evaluation. However, the current goff Python provider only provides sync evaluation methods. The issue is, with Python, due to the existence of ...

The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.

A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...

Radiomics offers improved assessment of spinal cord pathology in MS, surpassing conventional MRI in precision and sensitivity. A study identified 12 significant radiomic features, with four ...

1 Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China 2 Department of Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, ...

ABSTRACT: Time series anomaly detection is important in fields such as industrial control, but faces challenges such as data distribution drifting over time, diverse normal patterns, and training data ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook “The Last of the Meheecans” is one of several of the series’ illegal immigration-focused episodes, ...

Abstract: This work proposes local feature restoration (LFR) for robust, energy-efficient feature extraction and data processing at the sensor node. Analog-to-Feature Extraction (AFE) reduces ...