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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Adapted Version SISSO.3.0.2, June, 2020 for Windows. This code is licensed under the Apache License, Version 2.0 References: R. Ouyang, S. Curtarolo, E. Ahmetcik, M ...

(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, ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

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 ...

The era of massed air and missile threats is already here. Adversaries are finding and fixing friendly forces and aim to disrupt air defenses’ ability to see and make sense of the battlespace. What is ...

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...

There’s a strange allure to single-pixel cameras due to the simultaneous simplicity and yet fascinating features that they can offer, such as no set resolution limit. That said, the typical ...