Results 41 to 50 of about 17,132 (259)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach

IEEE Access, 2019
The influence maximization problem is defined by identifying the seed set that has the most influence on other users in the network, which when selected, the cascading process reaches a large number of users.
Mohammed Alshahrani, Zhu Fuxi, Ahmed Sameh, Soufiana Mekouar, Sichao Liu   +4 more
doaj   +1 more source

The statistical properties analysis of reconstruction error in greedy pursuit algorithms: Taking OMP as an example

Electronics Letters, 2023
Greedy pursuit algorithms are widely used in sparse signal processing for their computational efficiency. However, research on the reconstruction error properties is far from comprehensive.
Lei Xiao, Yubing Han, Xiaofeng Ma, Minghui Dai   +3 more
doaj   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

A new hybrid genetic algorithm with tabu search for solving the temporal coverage problem using rotating directional sensors

IET Communications
One of the most important problems in directional sensor networks is coverage problem. The coverage can be measured in two ways: positional or temporal.
Mahboobeh Eshaghi, Ali Nodehi, Hosein Mohamadi   +2 more
doaj   +1 more source

Stability of Weak Rescaled Pure Greedy Algorithms

Axioms
We study the stability of Weak Rescaled Pure Greedy Algorithms for convex optimization, WRPGA(co), in general Banach spaces. We obtain the convergence rates of WRPGA(co) with noise and errors under a weaker assumption for the modulus of smoothness of the
Wan Li, Man Lu, Peixin Ye, Wenhui Zhang
doaj   +1 more source

Convergence results on greedy algorithms for high-dimensional eigenvalue problems*

ESAIM: Proceedings and Surveys, 2014
In this paper, we present two greedy algorithms for the computation of the lowest eigenvalue (and an associated eigenvector) of a high-dimensional eigenvalue problem, which have been introduced and analyzed recently in a joint work ...
Ehrlacher Virginie
doaj   +1 more source

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, Lu Leng, Cheonshik Kim, Xinwen Liu, Yajun Du, Feng Liu   +5 more
doaj   +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, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

The learning performance of the weak rescaled pure greedy algorithms

Journal of Inequalities and Applications
We 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