With the continuous development of industrial automation, diesel engines play an increasingly important role in various types of construction machinery and power generation equipment.
Luchen Lin +5 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho +9 more
wiley +1 more source
Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez +5 more
wiley +1 more source
Optimizing voyages for biodiversity: rerouting vessels around ocean giants can have minimal impact on shipping. [PDF]
Reisinger RR +4 more
europepmc +1 more source
Optimization methods for face recognition algorithmes
The paper examines the main drawbacks of modern face recognition algorithms: low processing speed, high sensitivity to image quality and face positioning.
Sitkov, I.P., Glybovets, M.M.
core
Speed-constrained tuning for statistical machine translation using Bayesian optimization
We address the problem of automatically finding the parameters of a statistical machine translation system that maximize BLEU scores while ensuring that decoding speed exceeds a minimum value.
De Gispert, A +5 more
core
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Optimal design of high-speed vehicle suspension system based on parameter sensitivity stratification
ObjectiveTo address the issues of numerous parameters and time-consuming calculations in the optimization of high-speed vehicle suspension systems, a layered optimization design based on the parameter sensitivity stratification was proposed ...
WU Fu +4 more
doaj
Proximal Policy Optimization-guided novelty-aware multi-strategy particle swarm optimization for adaptive traffic signal optimization. [PDF]
R M, J AP.
europepmc +1 more source

