Results 161 to 170 of about 648,524 (297)

Global-Local Spatial-Temporal Residual Correlation Network for Urban Traffic Status Prediction. [PDF]

Comput Intell Neurosci, 2022
Bao YX, Cao Y, Shen QQ, Shi Q.
europepmc   +1 more source

Bio‐Based Multilayer Composites Based on Blended Electrospun Fibers and Luffa Cylindrica for Enhanced Low‐Frequency Noise Absorption

Journal of Polymer Science, EarlyView.
Bio‐based multilayer composites consisting of Luffa Cylindrica and electrospun microfibers exhibit enhanced sound absorption, shifting peak performance towards lower frequencies. The multilayer configuration improves acoustic wave dissipation, providing a tunable and sustainable solution for urban and traffic‐related noise mitigation.
Paraskevas Kyriacou, Viktoria Theodorou, Michal Matysík, Iveta Plšková, Ivo Kusák, Theodora Krasia‐Christoforou   +5 more
wiley   +1 more source

Multi-modal and multi-agent reinforcement learning framework for urban traffic flow prediction and signal control optimization. [PDF]

Sci Rep
Wang R, Zhang J, Wang X, He H, Zou Y.
europepmc   +1 more source

A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic. [PDF]

Adv Eng Inform, 2022
Wang Y, Lv Z, Sheng Z, Sun H, Zhao A.
europepmc   +1 more source

Soil properties and road proximity likely influence plant and bacterial traits and diversity more than habitat size in small urban greenspaces

PLANTS, PEOPLE, PLANET, EarlyView.
The global decline in biodiversity can be partly ameliorated by sympathetic design of green spaces within urban environments. This includes roundabouts on road systems. This study utilised a combination of approaches to assess levels of plant and bacterial diversity in roundabouts of varying size, soil characteristics and habitat complexity.
Ethan Mitchell‐Innes, Brady Locke‐King, Michelle L. Davis, Paul Ashton, Ellen L. Fry   +4 more
wiley   +1 more source

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index. [PDF]

Data Knowl Eng, 2021
Lv Z, Li J, Dong C, Li H, Xu Z.
europepmc   +1 more source

A walk in the park—Identifying healthy greenspaces using scents

PLANTS, PEOPLE, PLANET, EarlyView.
As urbanisation accelerates globally, access to nature is increasingly recognised as vital for public health and wellbeing. We captured and analysed plant‐emitted airborne ‘scent signatures’ across Oxford's urban greenspaces to assess their potential health relevance.
William T. Kay, Anya Lindström Battle, Mahal Humberstone, Molly Tucker, Kieran E. Storer, Geoffrey Kite, Katherine Willis   +6 more
wiley   +1 more source

Real time urban traffic prediction using RFID and a hybrid LSTM random forest model. [PDF]

Sci Rep
Khattab O, Saravana Balaji B, Alghadhoori F, AlMazyad F, AlDousari M, Al-Ameeri A, Al-Kadri MO.   +6 more
europepmc   +1 more source

A Deep Learning Framework About Traffic Flow Forecasting for Urban Traffic Emission Monitoring System. [PDF]

Front Public Health, 2021
Yao B, Ma A, Feng R, Shen X, Zhang M, Yao Y.   +5 more
europepmc   +1 more source

Assimilation of European and global Mode‐S aircraft observations into the Met Office global deterministic numerical weather prediction model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
European and global Mode‐S aircraft reports have been assimilated into the Met Office global deterministic numerical weather prediction model, improving forecast accuracy for wind, temperature, and geopotential height. This is the first time global Mode‐S network data have been assimilated, which include data from under‐observed regions, and has ...
Elliott Warren, Warren Tennant, Edmund Stone, Joanne Waller, Christopher Thomas, Adam Maycock   +5 more
wiley   +1 more source