Results 161 to 170 of about 1,669,292 (291)
Sparse signal recovery using markov random fields [PDF]
, 2008 Compressive Sensing (CS) combines sampling and compression into a single sub-Nyquist linear measurement process for sparse and compressible signals. In this paper, we extend the theory of CS to include signals that are concisely repre-sented in terms of ...
Marco F. Duarte +9 more
core +1 more source
Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
3D‐Printed Corneal Substitutes: Materials, Fabrication, and Preclinical Progress
Advanced Materials Technologies, EarlyView.Successful clinical translation of 3D‐printed corneal substitutes relies on the interplay between the bioink properties, cellular component, and the fabrication process. These factors influence the critical properties of the construct, including optical transparency, mechanical stability, suture retention, that ultimately govern long‐term stromal ...
Shadi Moshayedi +4 more
wiley +1 more source
A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing. [PDF]
Comput Intell Neurosci, 2018 Bao W, Liu H, Huang D, Hua Q, Hua G.
europepmc +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced Materials Technologies, EarlyView.Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
A Fast Sparse Recovery Algorithm for Compressed Sensing Using Approximate l₀ Norm and Modified Newton Method. [PDF]
Materials (Basel), 2019 Jin D, Yang Y, Ge T, Wu D.
europepmc +1 more source
BEHAVIOR OF GREEDY SPARSE REPRESENTATION ALGORITHMS ON NESTED SUPPORTS [PDF]
, 2013 © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Mailhe, B, Plumbley, MD, Sturm, B, IEEE
core
Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Proposal of a Geometric Calibration Method Using Sparse Recovery to Remove Linear Array Push-Broom Sensor Bias. [PDF]
Sensors (Basel), 2019 Chen J, Sha Z, Yang J, An W.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.A liquid metal‐based strain‐sensing architecture to measure the deformation of a circular diaphragm against obstructed surfaces is formulated using finite element modeling and confocal imaging to establish the mechanical framework and is utilized to control diaphragm‐induced confinement on a bead array, as validated by biomolecular loading level ...
Abdullah‐Bin Siddique +4 more
wiley +1 more source