Results 91 to 100 of about 1,128,066 (300)
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective
IEEE Access, 2019 One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management.
Juan S. Angarita-Zapata +2 more
doaj +1 more source
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
Independence-Monmouth Traffic Safety Management Program (TSMP)
, 1981 Cover letter title: Independence-Monmouth Traffic Safety Management Program (TSMP).At head of title: Preliminary."July 1981.""OTSC Project #81-02-5-609."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents ...
core
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Advanced Functional Materials, EarlyView.Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
A Cohesion-Based Heuristic Feature Selection for Short-Term Traffic Forecasting
IEEE Access, 2019 An input vector composed of various features plays an important role in short-term traffic forecasting. However, there is limited research on the optimal feature selection of an input vector for a certain forecasting task.
Lishan Liu +3 more
doaj +1 more source
Vision-LLMs for Spatiotemporal Traffic Forecasting
CoRRAccurate spatiotemporal traffic forecasting is a critical prerequisite for proactive resource management in dense urban mobile networks. While large language models have shown promise in time series analysis, they inherently struggle to model the complex spatial dependencies of grid-based traffic data.
Ning Yang 0005 +3 more
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
European Transport Research Review, 2019 A spatiotemporal approach that simultaneously utilises both spatial and temporal relationships is gaining scientific interest in the field of traffic flow forecasting.
Dmitry Pavlyuk
doaj +1 more source
Incident-Guided Spatiotemporal Traffic Forecasting
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1Recent years have witnessed the rapid development of deep-learning-based, graph-neural-network-based forecasting methods for modern intelligent transportation systems. However, most existing work focuses exclusively on capturing spatio-temporal dependencies from historical traffic data, while overlooking the fact that suddenly occurring transportation ...
Lixiang Fan +4 more
openaire +3 more sources
Advanced Healthcare Materials, EarlyView.We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett +7 more
wiley +1 more source