Results 121 to 130 of about 253,604 (271)

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Probability Selection-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization

Applied Sciences
Surrogate-assisted evolutionary algorithms (SAEAs) have emerged as a powerful class of optimization methods that utilize surrogate models to address expensive optimization problems (EOPs), where fitness evaluations (FEs) are expensive or limited.
Siyuan Wang, Jian-Yu Li
doaj   +1 more source

Neutrality: A Necessity for Self-Adaptation

, 2002
Self-adaptation is used in all main paradigms of evolutionary computation to increase efficiency. We claim that the basis of self-adaptation is the use of neutrality.
Igel, Christian, Toussaint, Marc
core   +5 more sources

Integration of user-centred evolutionary computation with digital visualisation [PDF]

, 2010
Barry D. Dean, Ian C. Parmee
openalex   +1 more source

The Complex Network of Evolutionary Computation Authors: an Initial Study

, 2005
EC paper authors form a complex network of co-authorship which is, by itself, a example of an evolving system with its own rules, concept of fitness, and patterns of attachment.
Cotta, Carlos, Merelo, Juan J.
core   +3 more sources

Assessment of Pain Types in Recently Diagnosed Patients With Inflammatory Arthritis

Arthritis Care &Research, EarlyView.
Objective Up to 40% of patients with inflammatory arthritis (IA) experience persistent pain, traditionally thought to be associated with a shift from peripherally to centrally mediated pain during the disease course in some patients. We assessed sensory profiles of recently diagnosed individuals with IA, hypothesizing that pain reported at this early ...
Zoe Rutter‐Locher, Sam Norton, Joseph L. Taylor, Bina Menon, Tom Esterine, Ruth Williams, Leonie S. Taams, Kirsty Bannister, Bruce W. Kirkham   +8 more
wiley   +1 more source

Kerf modelling in abrasive waterjet milling using evolutionary computation and ANOVA techniques [PDF]

, 2012
A. Alberdi, A. Rivero, Alberto Carrascal, Аitzol Lamikiz   +3 more
openalex   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Adaptive Bi-Operator Evolution for Multitasking Optimization Problems

Biomimetics
The field of evolutionary multitasking optimization (EMTO) has been a highly anticipated research topic in recent years. EMTO aims to utilize evolutionary algorithms to concurrently solve complex problems involving multiple tasks.
Changlong Wang, Zijia Wang, Zheng Kou
doaj   +1 more source