Results 61 to 70 of about 1,645,700 (287)
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
The learning performance of the weak rescaled pure greedy algorithms
Journal of Inequalities and ApplicationsWe investigate the regression problem in supervised learning by means of the weak rescaled pure greedy algorithm (WRPGA). We construct learning estimator by applying the WRPGA and deduce the tight upper bounds of the K-functional error estimate for the ...
Qin Guo, Xianghua Liu, Peixin Ye
doaj +1 more source
The classification of greedy algorithms
Science of Computer Programming, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Engineering Antigen Density on M13 Bacteriophage for Personalized Nanovaccine
Advanced Healthcare Materials, EarlyView.Increasing antigen density on the phage capsid impacts phage uptake and antigen cross‐presentation by antigen‐presenting cells, leading to enhanced activation of antitumor CD8+ T cells in the draining lymph nodes. These activated CD8+ T cells subsequently recognize the antigen‐expressing tumors and mediate their specific cytotoxic killing, thereby ...
Shengnan Huang +7 more
wiley +1 more source
On the effect of model mismatch for sequential Info-Greedy Sensing
EURASIP Journal on Advances in Signal Processing, 2018 We characterize the performance of sequential information-guided sensing (Info-Greedy Sensing) when the model parameters (means and covariance matrices) are estimated and inaccurate.
Ruiyang Song, Yao Xie, Sebastian Pokutta
doaj +1 more source
Journal of Approximation Theory, 2018 The aim of the present paper is to extend some results on greedy approximation algorithms to greedy algorithms allowing gaps in the approximating sequences. Let \(X\) be a Banach space and \((e_i,e^*_i)\in X\times X^*,\, i\in I,\) a biorthogonal system such that span\(\{e_i\}\) is dense in \(X\), span\(\{e^*_i\}\) is \(w^*\)-dense in \(X^*\) and ...
openaire +2 more sources
Distributed parallelization of greedy Mobile Network Optimization algorithms
, 2013 The Mobile Network Optimization (MNO) technologies have advanced at a tremendous pace in recent years. And the Dynamic Network Optimization (DNO) concept emerged years ago, aimed to continuously optimize the network in response to variations in network ...
Megson, Graham +8 more
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Constructing interaction test suites with greedy algorithms [PDF]
, 2005 Combinatorial approaches to testing are used in several fields, and have recently gained momentum in the field of software testing through software interaction testing.
Charles J. Colbourn, Renée C. Bryce
core +2 more sources
Constrained Backtracking Matching Pursuit Algorithm for Image Reconstruction in Compressed Sensing
Applied Sciences, 2021 Image reconstruction based on sparse constraints is an important research topic in compressed sensing. Sparsity adaptive matching pursuit (SAMP) is a greedy pursuit reconstruction algorithm, which reconstructs signals without prior information of the ...
Xue Bi +5 more
doaj +1 more source