Results 71 to 80 of about 5,109 (308)
Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells
Advanced Healthcare Materials, EarlyView.Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli +17 more
wiley +1 more source
WSN data gathering algorithm based on compressive sensing and matrix completion technique
Tongxin xuebao, 2018 The unreliable links and packet losing are ubiquitous in WSN.The performance of data collection algorithm based on compressive sensing is sensitive to packet losing.Firstly,the relationship between packet loss rate and CS-based reconstruction precision ...
Ce ZHANG, Ou LI, Xin TONG, Yanping YANG
doaj +2 more sources
Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals
Journal of Applied Mathematics, 2013 Compressive sensing (CS) reconstruction of a spectrum-sparse signal from undersampled data is, in fact, an ill-posed problem. In this paper, we mathematically prove that, in certain cases, the exact CS reconstruction of a spectrum-sparse signal from ...
Ying Luo +3 more
doaj +1 more source
Distributed compressive video sensing
, 2009 Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the order of that for still image encoding.
Li-wei Kang, Chun-shien Lu
core +1 more source
Advanced Healthcare Materials, EarlyView.A 3D‐printed piezoionic GPMx hydrogel enables stable electromechanical signal generation under mechanical loading, exhibiting long‐term durability and low fatigue. As a bioactive patch, it restores endogenous bioelectricity to stimulate osteogenesis via Ca2+ influx and mitochondrial activation, while simultaneously enabling label‐free alkaline ...
Sayan Deb Dutta +3 more
wiley +1 more source
DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification
Journal of Applied Engineering and Technological ScienceCompressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah +4 more
doaj +1 more source
Introduction to compressive sensing in acoustics
, 2018 Compressive sensing (CS) in acoustics has received significant attention in the last decade, and thus motivates this special issue. CS emerged from the signal processing and applied math community and has since generated compelling results in acoustics ...
Seong, Woojae +7 more
core +1 more source
Natural Biomaterials for Osteochondral Repair: From Source to Strategy
Advanced Healthcare Materials, EarlyView.Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu +5 more
wiley +1 more source
Sensors, 2018 Device-free localization (DFL) that aims to localize targets without carrying any electronic devices is addressed as an emerging and promising research topic.
Yan Guo, Dongping Yu, Ning Li
doaj +1 more source
Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array
, 2013 Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
core