Results 51 to 60 of about 154,707 (286)

Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network

Sensors, 2022
As the aggravation of road congestion leads to frequent traffic crashes, it is necessary to relieve traffic pressure through traffic flow prediction.
Ruizhe Shi, Lijing Du
doaj   +1 more source

An integrated method for short-term prediction of road traffic conditions for intelligent transportation systems applications [PDF]

, 2013
The paper deals with the short-term prediction of road traffic conditions within Intelligent Transportation Systems applications. First, the problem of traffic modeling and the potential of different traffic monitoring technologies are discussed.
COLOMBARONI, CHIARA, FUSCO, Gaetano
core  

A Human‐Based Skin‐Lymphoreticular Model‐on‐Chip to Emulate Inflammatory Skin Conditions

Advanced Healthcare Materials, EarlyView.
A human‐based lymphoreticular (LR) model was developed through guided self‐assembly and integrated in a skin‐lymphoreticular co‐culture in a microfluidic organ‐on‐chip to mimic interactions between skin and its draining lymph nodes. The human‐based skin‐lymphoreticular model resembles a minimally functional unit that allows to study interactions ...
Zheng Tan, Partho Protim Adhikary, Dana Wörz, Sarah Hedtrich   +3 more
wiley   +1 more source

Short-term traffic flow prediction of expressway based on CEEMD-GRU combination model

Journal of Hebei University of Science and Technology, 2021
In order to improve the accuracy of short-term traffic flow prediction,a short-term traffic flow prediction method of expressway based on the combined model of complementary ensemble empirical mode decomposition (CEEMD) and gated recurrent unit (GRU) was
Fuxin SHEN, Qichun BING, Weijian ZHANG, Yanran HU, Peng GAO   +4 more
doaj   +1 more source

Improving adaptation and interpretability of a short-term traffic forecasting system [PDF]

, 2017
Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes.
Casas Vilaró, Jordi, Djukic, Tamara, Gavaldà Mestre, Ricard, Mena Yedra, Rafael   +3 more
core  

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source

Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks

Scientific Reports
To address the issue of spatiotemporal illusion in short-term traffic flow prediction and deeply explore the underlying short-term traffic flow network characteristics, a traffic flow prediction model that combines long-term spatiotemporal heterogeneity ...
Li Ma, Yunshun Wang, Xiaoshi Lv, Lijun Guo   +3 more
doaj   +1 more source

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

, 2018
Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the requirements of mid-and-long term prediction tasks and often neglect ...
Yin, Haoteng, Yu, Bing, Zhu, Zhanxing
core   +1 more source

Evaluation of the Dual Impact of Nanotechnologies on Health and Environment Through Alternative Bridging Models

Advanced Healthcare Materials, EarlyView.
This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre, Margherita Bernardeschi, Matteo Battaglini, Gianni Ciofani   +3 more
wiley   +1 more source

Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis

物联网学报, 2019
Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-
Lingchao HE, Dong LIN, Xinxin FENG
doaj   +2 more sources