Results 151 to 160 of about 56,161 (302)

Integrating Sensor Ontologies with Niching Multi-Objective Particle Swarm Optimization Algorithm. [PDF]

Sensors (Basel), 2023
Zhuang Y, Huang Y, Liu W.
europepmc   +1 more source

Particle swarm optimisation with applications in power system generation

, 2007
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 12/06/2007.Today the modern power system is more dynamic and its operation is a subject to a number of constraints that are reflected in various management
Sriyanyong, Pichet
core  

Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles

Advanced Materials, EarlyView.
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen, Xiaoyu Wang, Jilin Fan, Bi Wang, Hanghang Fang, Yurui Wang, Hao Cui, Mohammad Roufarshbaf, Ekaterina Savina, Alexandra Valeske, Quim Peña, Yang Shi, Andreas Herrmann, Twan Lammers, Mathias Hornef, Roman Barmin, Thomas Lisson, Georg Schmitz, Anne Rix, Fabian Kiessling   +19 more
wiley   +1 more source

Correction: Discrimination of missing data types in metabolomics data based on particle swarm optimization algorithm and XGBoost model. [PDF]

Sci Rep
Yuan Y, Du J, Luo J, Zhu Y, Huang Q, Zhang M.   +5 more
europepmc   +1 more source

Retracted: Big Data Value Calculation Method Based on Particle Swarm Optimization Algorithm. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Classification of breast cancer using hybridization version of walrus and particle swarm optimization algorithm. [PDF]

Sci Rep
Utreja B, Sharma R, Wason A, Iyer S, Uddin M, Dandoush A, Saeed MM.   +6 more
europepmc   +1 more source

Retracted: Design and Simulation of Logistics Network Model Based on Particle Swarm Optimization Algorithm. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Time‐Resolved Simultaneous Mapping of Thickness and Nanoparticle Concentration in Nanofluid Thin Films via Imaging Ellipsometry and Deep‐UV Reflectance Imaging

Advanced Materials Interfaces, Volume 13, Issue 12, 23 June 2026.
This study establishes a dual‐channel optical metrology framework integrating phase‐shifting imaging ellipsometry and deep‐UV reflectance imaging. This label‐free approach enables simultaneous, time‐resolved mapping of film thickness and nanoparticle (NP) concentration in dynamic nanofluid thin films.
Eita Shoji, Keita Aizawa, Hiroki Kusudo, Tetsushi Biwa   +3 more
wiley   +1 more source

Exemplar Learning and Memory Retrieval-Based Particle Swarm Optimization Algorithm with Engineering Applications. [PDF]

Biomimetics (Basel)
Zhang S, Hu X, Gao Y, Gao M, Zhang Y.
europepmc   +1 more source