Results 71 to 80 of about 10,094,639 (283)
Short-term traffic flow forecasting with A-SVARMA
Short-term Traffic Flow Forecasting (STFF), the process of predicting future traffic conditions based on historical and real-time observations, is an essential aspect of Intelligent Transportation Systems (ITS). The existing well-known algorithms used for STFF include time-series analysis based techniques, among which the seasonal Autoregressive Moving
WILSON, SIMON, GHOSH, BIDISHA
openaire +1 more source
Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations [PDF]
Short-term traffic flow forecasting is a critical function in advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS).
Zhang, Yanru
core +1 more source
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
A deep learning short-term traffic flow prediction method considering spatial-temporal association
The short-term traffic flow prediction is too dependent on the time correlation characteristics, which due to the problems that the correlation factors of the spatial correlation characteristics are too complicated and difficult to quantify.In response ...
Yang ZHANG, Yue HU, Dongrong XIN
doaj
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib +8 more
wiley +1 more source
Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting
For the transport networks only equipped with sparse or isolated detectors, short‐term traffic flow forecasting faces the following problems: (1) there are only temporal information and no spatial information; (2) the noises in the traffic flow ...
Kai Li +5 more
doaj +1 more source
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory
Traffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity
Ange-Lionel Toba +3 more
doaj +1 more source
Umbilical cord stem cell‐derived exosomes encapsulated in an immunomodulatory bioadhesive hydrogel spray enable localized therapy, sustained vesicle delivery, macrophage polarization, suppress systemic inflammation, and mitigate glucose and insulin homeostasis impairments in MAFLD.
Triya Saha +4 more
wiley +1 more source
Short-term Forecast Model of Vehicles Volume Based on ARIMA Seasonal Model and Holt-Winters
In order to alleviate the urban traffic congestion and ensure traffic safety, we need to do a good job in urban road traffic safety planning, make the real-time analysis and forecast of urban traffic flow to detect changes of current traffic flow in time,
Wang Zhi-Hui +4 more
doaj +1 more source
Boiling Histrotripsy (BH), a mechanical form of focused ultrasound (FUS), allows for non‐invasive and non‐ionizing tissue destruction. Utilizing a BH treatment protocol that yielded bifurcating primary tumor growth responses, we found that immediate BH‐induced tumor growth control identifies tumors with acute reductions in antigen‐presenting cells (APC)
Lydia E. Kitelinger +8 more
wiley +1 more source

