Results 51 to 60 of about 154,459 (280)

Short-term prediction of traffic flow using a binary neural network [PDF]

Neural Computing and Applications, 2014
This paper introduces a binary neural network-based prediction algorithm incorporating both spatial and temporal characteristics into the prediction process. The algorithm is used to predict short-term traffic flow by combining information from multiple traffic sensors (spatial lag) and time-series prediction (temporal lag).
Victoria J. Hodge, Rajesh Krishnan, Jim Austin, John W. Polak, Thomas W. Jackson   +4 more
openaire   +2 more sources

A Systematic Comparison of Alpha‐Synuclein Seed Amplification Assays for Increasing Reproducibility

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Seed amplification assays (SAAs) enable ultrasensitive detection of misfolded α‐synuclein across biofluids and tissues. Yet, heterogeneity in protocols limits cross‐study comparability and clinical translation. Here, we review α‐synuclein SAA methods and their performance across various biological matrices.
Manuela Amaral‐do‐Nascimento, Daniela F. Santos, Tuane C. R. G. Vieira, Tiago F. Outeiro   +3 more
wiley   +1 more source

Research on prediction method of expressway section traffic flow considering anomaly detection probability

IET Intelligent Transport Systems
Real‐time and accurate short‐term traffic flow prediction can provide a scientific basis for decision making by travellers and traffic management, and alleviate traffic congestion to a certain extent.
Zhiyu Wang, Linheng Li, Xu Qu, Peipei Mao, Bin Ran   +4 more
doaj   +1 more source

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

Engineering of Glioblastoma‐Derived Biomimetic Vesicles and Their Structural and Molecular Features

Advanced Healthcare Materials, EarlyView.
ABSTRACT Biomimetic nanosystems and vesicles have arisen as a novel approach to design vesicular transport systems with diverse therapeutic potential. The ‘biomimetic’ strategy involves the integration of cell membrane components into lipid bilayers, conferring them with biological properties originating from the cell of origin. Until now, most studies
Noelia Hernández‐Lobato, Hanan Abumanhal‐Masarweh, Martí de Cabo, Pablo Guerra, Marilena Hadjidemetriou, Neus Lozano, Kostas Kostarelos   +6 more
wiley   +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  

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 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

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

Short-Term Traffic Flow Prediction Methods: A Survey

Journal of Physics: Conference Series, 2020
Abstract As a major part of a smart transport system, the vehicle management system has become an effective means for traffic management departments to control urban road traffic with the advent of smart transportation technology. The short-term traffic flow forecasting provides drivers with the best route as a core engineering of the ...
openaire   +1 more source