Results 41 to 50 of about 956,969 (294)
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
A multi‐agent deep reinforcement learning approach for traffic signal coordination
The purpose of signal control is to allocate time for competing traffic flows to ensure safety. Artificial intelligence has made transportation researchers more interested in adaptive traffic signal control, and recent literature confirms that deep ...
Ta‐Yin Hu, Zhuo‐Yu Li
doaj +1 more source
A new fixed-time adaptive neural network control strategy is designed for pure-feedback non-affine nonlinear systems with state constraints according to the feedback signal of the error system.
Yang Li +3 more
doaj +1 more source
Exploitation of Digital Filters to Advance the Single-Phase T/4 Delay PLL System [PDF]
With the development of digital signal processing technologies, control and monitoring of power electronics conversion systems have been evolving to become fully digital.
Blaabjerg, Frede +2 more
core +1 more source
A Taxonomy of Adaptive Traffic Signal Control
19 pages, 3 figures, 7 tables, submitted to IEEE Transactions on Intelligent Transportation ...
Shams, Andalib +2 more
openaire +2 more sources
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
Accurate signal-source and signal-reflector target localization tasks via mobile sensory units and wireless sensor networks (WSNs), including those for environmental monitoring via sensory UAVs, require precise knowledge of specific signal propagation ...
Barış Fidan, Ilknur Umay
doaj +1 more source
Traffic signal control is one effective way to alleviate traffic congestion. Anticipatory traffic signal control determines signal settings from a network planning perspective, which takes into account the influence of travelers’ route choice response ...
Wei Huang, Yang Hu, Xuanyu Zhang
doaj +1 more source
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
CAV-generated mobility data modeling mechanism for adaptive signal control
The effectiveness of adaptive traffic signal control highly relies on accurate and accountable identification of dynamic arrival turning movement demand on approaches and other traffic flow parameters measuring traffic states. Emerging connected vehicle (
Wei Lin +3 more
doaj +1 more source

