Results 71 to 80 of about 2,999 (264)
HomoR-CS: A homogeneous region-based compressed sensing method for SAR tomography
The performance of most existing tomographic synthetic aperture radar (SAR) (TomoSAR) methods that reconstruct the scene pixel-by-pixel is degraded by speckle noise and low signal-to-noise ratio. To solve these problems, we propose a homogeneous region-based compressed sensing (HomoR-CS) method for SAR tomography.
Qian Ma 0011 +6 more
openaire +2 more sources
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
The compressive sensing technique can significantly improve the efficiency of the method of moments in solving the monostatic electromagnetic scattering problem by compressing the number of incident sources.
Yalan Gao +3 more
doaj +1 more source
CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning
Vision-Language Models (vLLMs) have emerged as powerful architectures for joint reasoning over visual and textual inputs, enabling breakthroughs in image captioning, cross modal retrieval, and multimodal dialogue. However, as these models scale to longer video sequences and richer language descriptions, the quadratic complexity of the standard ...
Andrew Kiruluta +2 more
openaire +2 more sources
Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald +3 more
wiley +1 more source
An adaptive approach for integrating primary user behavior in compressive spectrum sensing
Compressive sensing (CS) has been widely used to sense the wideband spectrum with fewer measurements by taking advantage of radio spectrum underutilization.
Ahmed A. Tawfik +2 more
doaj +1 more source
Sparse Recovery Optimization in Wireless Sensor Networks with a Sub-Nyquist Sampling Rate
Compressive sensing (CS) is a new technology in digital signal processing capable of high-resolution capture of physical signals from few measurements, which promises impressive improvements in the field of wireless sensor networks (WSNs).
Davide Brunelli, Carlo Caione
doaj +1 more source
Multifunctional Adhesive Hydrogel for Rapid Cardiac Hemostasis and Antibacterial Protection
A multifunctional polyacrylamide/gelatin/tannic acid hydrogel (PGT) is presented for rapid cardiac hemostasis under wet, dynamic conditions. Surface tannic acid coating enables instantaneous wet adhesion, accelerates coagulation, and confers antibacterial activity within a single platform.
Seoha Kim +5 more
wiley +1 more source
Face Recognition Based on Optimized Projections for Distributed Intelligent Monitoring Systems
Compressive sensing (CS), as a new theory of signal processing, has found many applications. This paper deals with a CS-based face recognition system design.
Aihua Yu +4 more
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source

