Results 121 to 130 of about 279,028 (324)
Remote SensingIn the passive bistatic radar (PBR) system, methods exist to address the issue of detecting weak targets without being influenced by non-ideal factors from adjacent strong targets.
Kai Cui +5 more
doaj +1 more source
Optimal deep neural networks for sparse recovery via Laplace techniques [PDF]
, 2017 Steffen Limmer, Sławomir Stańczak
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Advanced Healthcare Materials, EarlyView.Fast‐acting hydrogel seals bleeding wounds as the illustrated injectable, pH‐responsive network rapidly gels in situ to stop hemorrhage, adhere strongly to wet tissue, and release antibiotics in a controlled, pH‐dependent manner. The material withstands high pressures, shows excellent biocompatibility, and degrades safely, offering a versatile platform
Arvind K. Singh Chandel +5 more
wiley +1 more source
The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
Journal of Electrical and Computer Engineering, 2019 This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. This algorithm combines the advantage of the sparsity adaptive matching pursuit (SAMP) algorithm and the simulated annealing method in ...
Yangyang Li +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.An advanced microneedle patch integrating niobium carbide nanosheets and curcumin is engineered for diabetic wound healing. The system enables dual ROS scavenging and NIR‐enhanced antimicrobial activity, effectively rebalancing the oxidative microenvironment, promoting macrophage repolarization and angiogenesis, and accelerating full‐thickness wound ...
Zhi Zheng +12 more
wiley +1 more source
Stable Recovery of Signals From Highly Corrupted Measurements
IEEE Access, 2018 In this paper, we consider the stable recovery of sparse or proximately sparse signals x ∈ ℝn from highly corrupted linear measurements b = Ax + f + e, where f ∈ ℝm is a sparse error vector whose nonzero entries may be ...
Ningning Li, Wengu Chen, Peng Li
doaj +1 more source
Compressed Sensing and Parallel Acquisition
, 2016 Parallel acquisition systems arise in various applications in order to moderate problems caused by insufficient measurements in single-sensor systems. These systems allow simultaneous data acquisition in multiple sensors, thus alleviating such problems ...
Adcock, Ben, Chun, Il Yong
core
Reverse Engineering ℓp attacks: A block-sparse optimization approach with recovery guarantees
, 2022 D. Thaker
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Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Advanced Healthcare Materials, EarlyView.Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach [PDF]
, 2019 Mahmoud Nazzal +3 more
openalex +1 more source