Results 131 to 140 of about 422,634 (302)

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang   +6 more
wiley   +1 more source

Combining generative adversarial networks with urban noise mapping

open access: yesNoise Mapping
Urban traffic noise is associated with the health and living environment quality of residents. As urbanization and population density continually increase, it is vital to understand and predict the impact of urban design behavior on urban traffic noise ...
Chen Junpai, Xiang Qiuya
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Simulation study of traffic-sensor noise effects on utilization of traffic situation display for self-spacing task [PDF]

open access: yes
The effect of traffic sensor noise on the ability of a pilot to perform an intrail spacing task was determined. The tests were conducted in a fixed base cockpit simulator configured as a current generation transport aircraft, with an electronic traffic ...
Moen, G. C., Williams, D. H.
core   +1 more source

The Critical Role of Fractionated Urine Glycosaminoglycans in the Evaluation of Mucopolysaccharidosis Type II in Four Unrelated Families

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Since 2015, Ann and Robert H. Lurie Children's Hospital has performed diagnostic testing for infants who screen positive for mucopolysaccharidosis type II (MPS II) on the Illinois newborn screen. Preliminary diagnostic testing includes measurement of plasma iduronate‐2‐sulfatase enzyme activity and urinary glycosaminoglycan analysis, followed ...
Carly A. Rasmussen   +5 more
wiley   +1 more source

Noise Pollution? What\u27s the solution?: Understanding Traffic Noise Pollution in Gettysburg, Pennsylvania

open access: yes, 2014
Noise pollution can be damaging to a community by impacting its atmosphere as well as the health of its residents, local quality of life, and local economy.
Kapp, Andrew F.   +2 more
core  

Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis

open access: yesAnnals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding   +5 more
wiley   +1 more source

Civil Aviation Research and Development, an Assessment of Federal Government Involvement - Airport and Support Facilities [PDF]

open access: yes
Civil aviation growth assessment requiring Federal Government research and development in airports, noise, and air traffic ...

core   +1 more source

Quasi-experimental evidence on the effect of traffic externalities on housing prices [PDF]

open access: yes
This paper studies the effects on house prices of traffic nuisance on local streets. As source of exogenous variation in traffic nuisance we use the opening of a new state highway N14 in the Netherlands.
Gerard Verweij, Ioulia Ossokina
core  

Toward Solution‐Time Advantage With Error‐Mitigated Quantum Annealing for Combinatorial Optimization

open access: yesAdvanced Physics Research, EarlyView.
This paper presents a novel error mitigation technique to address the qubit errors that occur when solving combinatorial optimization problems with quantum annealing. The approach significantly speeds up the computation to reach the global optimum solution for a correlated 3D image segmentation model for material microstructures, demonstrating a ...
Yushuang Sam Yang   +3 more
wiley   +1 more source

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