Results 51 to 60 of about 1,354,418 (296)
A Novel Image Compressive Sensing Method Based on Complex Measurements
, 2011 Compressive sensing (CS) has emerged as an efficient signal compression and recovery technique, that exploits the sparsity of a signal in a transform domain to perform sampling and stable recovery.
Xiang, Wei +5 more
core +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
CS-FCDA: A Compressed Sensing-Based on Fault-Tolerant Data Aggregation in Sensor Networks [PDF]
Sensors, 2018 When the nodes in the network are deployed in the target area with an appropriate density, the effective aggregation and transmission of the data gathered in the monitoring area remain to be solved. The existing Compressed Sensing (CS) based on data aggregation schemes are accomplished in a centralized manner and the Sink node achieves the task of data
Zeyu Sun 0002 +5 more
openaire +4 more sources
Applicazione dell'algoritmo di nesterov alla tecnica di compressive sensing in reti di sensori radio [PDF]
, 2022 In questa tesi si analizza una tecnica di compressione e ricostruzione di segnali, il Compressive Sensing (CS), e la sua applicazione in un protocollo innovativo per la raccolta e la ricostruzione dei dati di una rete di sensori radio.
Zordan, Davide
core
Glissile Interphase Boundaries Enable Collective Phase Switching in Epitaxial Polar Oxides
Advanced Functional Materials, EarlyView.A triple point is identified in the phase diagram of low‐symmetry epitaxial BiFeO3 thin film along with an extended regime of phase competition associated with a flattened energy landscape. The electromechanical response is shown to be governed by correlated interphase‐boundary motion, including scale‐free avalanche dynamics characteristic of systems ...
Mohammad Moein Seyfouri +11 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen +10 more
wiley +1 more source
Compressive Sensing Image Sensors-Hardware Implementation
Sensors, 2013 The compressive sensing (CS) paradigm uses simultaneous sensing and compression to provide an efficient image acquisition technique. The main advantages of the CS method include high resolution imaging using low resolution sensor arrays and faster image ...
Shahram Shirani +2 more
doaj +1 more source
Applied Sciences, 2023 This paper introduces a novel speech enhancement approach called dominant columns group orthogonalization of the sensing matrix (DCGOSM) in compressive sensing (CS).
Vasundhara Shukla, Preety D. Swami
doaj +1 more source
KF-CS: Compressive Sensing on Kalman Filtered Residual
CoRR, 2009 7 pages, 2 figures, submitted to the IEEE for possible ...
openaire +2 more sources