Results 31 to 40 of about 5,973,519 (241)

Research on the effectiveness of different neural network models in traffic flow prediction

Transportation and Information Technologies in Russia
This paper compares the effectiveness of support vector machine (SVM), convolutional neural network-long short-term memory (CNN-LSTM), and support vector machine-long short-term memory (SVM-LSTM) models for traffic flow prediction in intelligent ...
Jixiao Jiang
doaj   +1 more source

Modeling, Identification, Estimation, and Simulation of Urban Traffic Flow in Jakarta and Bandung

Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2015
This paper presents an overview of urban traffic flow from the perspective of system theory and stochastic control. The topics of modeling, identification, estimation and simulation techniques are evaluated and validated using actual traffic flow data ...
Herman Y. Sutarto, Endra Joelianto
doaj   +1 more source

Convolutional Long-Short Term Memory Network with Multi-Head Attention Mechanism for Traffic Flow Prediction

Sensors, 2022
Accurate predictive modeling of traffic flow is critically important as it allows transportation users to make wise decisions to circumvent traffic congestion regions.
Yupeng Wei, Hongrui Liu
doaj   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Performance of car following behaviour in microscopic traffic flow models [PDF]

, 2004
Microscopic simulation models are becoming increasingly important tools in modelling transport systems. They are applied in simulation programs for transport planning, traffic forecasting and advanced vehicle control and safety systems (AVCSS).
Brockfeld, Elmar, Wagner, Peter, Kelpin, Rene   +2 more
core  

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

A comprehensive review of traffic flow prediction: from traditional models to deep learning architectures

Digital Transportation and Safety
Traffic congestion gradually becomes an increasingly serious problem in cities. Intelligent transportation systems (ITS) have been introduced to alleviate traffic congestion.
Heng Zhang, Zhizhe Lin, Jinglin Zhou, Jiaxin Sun, Teng Zhou, Chunjie Cao   +5 more
doaj   +1 more source

DEVELOPMENT OF A VESSEL TRAFFIC SIMULATION SYSTEM

International Journal of Advanced Studies, 2021
This report is devoted to the consideration of the process of modeling vessel traffic. The meaning of the term traffic flow in the theory and practice of navigation is revealed in detail. Particular attention is paid to the creation of a computer program
Anastasia Fedorovna Shvetsova
doaj   +1 more source

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

FEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux, Christian Lévêque, Fodil Azzaz, Marion Sangiardi, Sarosh R Irani, Michael Seagar, Jacques Fantini, Oussama El Far   +7 more
wiley   +1 more source

Traffic Flow Prediction Based on Multi-Scale Graph Convolution Enhanced Large Language Model

IEEE Access
Traffic flow prediction is a critical foundational problem in intelligent transportation systems. Although Large Language Model (LLM) has shown promising potential in time series modeling tasks in recent years, existing LLM-based methods generally ...
Chuangchuang Zhang, Zengxu Song, Haiquan Shao   +2 more
doaj   +1 more source