Results 81 to 90 of about 361,441 (286)
Journal of Advanced Transportation, 2020 Short-term traffic speed prediction is a promising research topic in intelligent transportation systems (ITSs), which also plays an important role in the real-time decision-making of traffic control and guidance systems.
Pan Wu +5 more
doaj +1 more source
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
A Multi-Parameter Chaotic Fusion Approach for Traffic Flow Forecasting
IEEE Access, 2020 Since traffic is a time-dependent and complicated non-linear system. Chaos Theory has been specifically designed to identify chaotic behaviour and properties for such systems.
Qinglu Ma, Guang Hao Huang, Saleem Ullah
doaj +1 more source
Global Modeling and Prediction of Computer Network Traffic [PDF]
, 2009 We develop a probabilistic framework for global modeling of the traffic over a computer network. This model integrates existing single-link (-flow) traffic models with the routing over the network to capture the global traffic behavior.
Michailidis, George +2 more
core
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Traffic Speed Prediction with Neural Networks
, 2018 With the increasing interest in creating Smart Cities, traffic speed prediction has attracted more attention in contemporary transportation research. Neural networks have been utilized in many studies to address this problem; yet, they have mainly focused on the short-term prediction while longer forecast horizons are needed for more reliable mobility ...
Umut Can Çakmak +2 more
openaire +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
CARBOTRAF: A decision Support system for reducing pollutant emissions by adaptive traffic management [PDF]
, 2015 Traffic congestion with frequent “stop & go” situations causes substantial pollutant emissions. Black carbon (BC) is a good indicator of combustion-related air pollution and results in negative health effects.
Beckx, C +12 more
core
Advanced Engineering Materials, EarlyView.This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Network traffic multi-step prediction based on chaos theory and improved echo state network
Tongxin xuebao, 2016 Network traffic prediction was an important problem of network management and network congestion control.In order to solve this problem,a network traffic prediction method based on chaos theory and improved echo state net-work was proposed.Firstly ...
Zhong-da TIAN +3 more
doaj +2 more sources