Results 51 to 60 of about 151,397 (266)

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

A low-complexity evolutionary algorithm for wind farm layout optimization

Energy Reports, 2023
The wind farm layout determines the power generation ability, and its optimization remains challenging in terms of algorithm complexity and performance.
Xingwang Huang, Zhijin Wang, Chaopeng Li, Min Zhang   +3 more
doaj   +1 more source

Greedy MAXCUT Algorithms and their Information Content

, 2016
MAXCUT defines a classical NP-hard problem for graph partitioning and it serves as a typical case of the symmetric non-monotone Unconstrained Submodular Maximization (USM) problem.
Bian, Yatao, Buhmann, Joachim M., Gronskiy, Alexey   +2 more
core   +1 more source

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

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

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

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +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