Results 81 to 90 of about 324,331 (336)
Applied Sciences, 2020 In this paper, the formation tracking problem for heterogeneous multi-agent systems with loss of multiple communication packets is considered using the iterative learning control (ILC) method.
Yuzhou Wu +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Fault-Tolerant Optimal Consensus Control for Heterogeneous Multi-Agent Systems
Applied SciencesThis study explores fault-tolerant consensus in leader–following heterogeneous multi-agent systems, focusing on actuator failures in uncrewed aerial vehicles (UAVs) and uncrewed ground vehicles (UGVs).
Yandong Li +3 more
doaj +1 more source
A Systematic Comparison of Alpha‐Synuclein Seed Amplification Assays for Increasing Reproducibility
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Seed amplification assays (SAAs) enable ultrasensitive detection of misfolded α‐synuclein across biofluids and tissues. Yet, heterogeneity in protocols limits cross‐study comparability and clinical translation. Here, we review α‐synuclein SAA methods and their performance across various biological matrices.
Manuela Amaral‐do‐Nascimento +3 more
wiley +1 more source
hGCBF: Heterogeneous Graph Control Barrier Functions for Safe Multi-Agent Systems
IEEE AccessProvable safety remains a critical challenge for heterogeneous multi-agent systems (MASs), where differences in dynamics, state/action spaces, and sensing capabilities compromise existing learning-based methods that assume system homogeneity.
Zhibo Yang +3 more
doaj +1 more source
Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control
IEEE Access, 2019 The problem of adaptive traffic signal control in the multi-intersection system has attracted the attention of researchers. Among the existing methods, reinforcement learning has shown to be effective.
Hongwei Ge +4 more
doaj +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Multi-agent architecture for intelligent gathering systems [PDF]
, 2005 This paper presents a model to define heterogeneous agents that solve problems by sharing the knowledge retrieved from the WEB, and cooperating among them.
Aler, Ricardo +3 more
core +2 more sources
H2 Suboptimal Output Synchronization of Heterogeneous Multi-Agent Systems
CoRR, 2020 9 pages, 2 figures.
Junjie Jiao +2 more
openaire +2 more sources
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source