A new study reveals a scalable way to manufacture soft capacitive sensors, improving customization and performance for applications in wearable and robotic systems.

In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest ...

Nanomaterials, Energy Storage, Electrochemical Sensors, Sensing Technologies Share and Cite: Anney, A. and Biswas, S. (2026) ...

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Purpose: Compressed-sensing (CS) methods can decrease the acquisition time for T 1-weighted (T 1 w) structural MRI images to 1–2 min. Rapid acquisitions reduce participant burden, reduce the risk of ...

As artificial intelligence (AI) and the Internet of Things (IoT) drive explosive data growth at the edge, compressed sensing (CS) is a key technique that reduces the hardware burden by sampling less ...

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(a) Unified Model: NO works across various undersampling patterns, unlike CNNs (e.g., E2E-VarNet) that need separate models for each. (b) Consistent Performance: NO consistently outperforms CNNs, ...

The structural design of the microsensor and the principle of volume compressed sensing. a The resonant high pressure microsensor comprises a SOI wafer with resonators and vias, and a silicon wafer as ...

Abstract: In low terahertz communications (0.1THz - 1THz), highly directive antennas with high antenna gains are essential to overcoming the significant losses during wireless propagation.