Results 41 to 50 of about 154,707 (286)

A deep learning short-term traffic flow prediction method considering spatial-temporal association

智能科学与技术学报, 2021
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  

Traffic flow modeling and forecasting using cellular automata and neural networks : a thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Computer Science at Massey University, Palmerston North, New Zealand [PDF]

, 2006
In This thesis fine grids are adopted in Cellular Automata (CA) models. The fine-grid models are able to describe traffic flow in detail allowing position, speed, acceleration and deceleration of vehicles simulated in a more realistic way.
Liu, Mingzhe
core  

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning

Systems Science & Control Engineering
This paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of each ...
Bao-Lin Ye, Shiwei Zhu, Lingxi Li, Weimin Wu   +3 more
doaj   +1 more source

Liquid Crystalline Inverted Lipid Phases and Reverse Micelles in Drug Delivery: From Molecular Design to Therapeutic Potential

Advanced Functional Materials, EarlyView.
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu, Mulazim Hussain Asim, Soheil Haddadzadegan, Andreas Bernkop‐Schnürch   +3 more
wiley   +1 more source

Research on Short-term Traffic Forecast Algorithm based on Cloud Model [PDF]

, 2014
Short-term traffic flow is difficult to predict because of high uncertainty. This paper proposes a short-term traffic forecast algorithm based on cloud similarity. By taking advantage of quantitative and qualitative cloud model mutual conversion function
Huaikun, Xiang
core   +1 more source

DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

, 2018
Predicting traffic conditions has been recently explored as a way to relieve traffic congestion. Several pioneering approaches have been proposed based on traffic observations of the target location as well as its adjacent regions, but they obtain ...
Cheng, Xingyi, Xu, Wei, Zhang, Ruiqing, Zhou, Jie   +3 more
core   +1 more source

Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction

Journal of Database Management, 2023
Meta-heuristic algorithms have been widely used in deep learning. A hybrid algorithm EO-GWO is proposed to train the parameters of long short-term memory (LSTM), which greatly balances the abilities of exploration and exploitation. It utilizes the grey wolf optimizer (GWO) to further search the optimal solutions acquired by equilibrium optimizer (EO ...
Jeng-Shyang Pan, Pei Hu, Tien-Szu Pan, Shu-Chuan Chu   +3 more
openaire   +1 more source

Laser Engineering of HfN‐Based Nanoparticles for Safe NIR‐I Photothermal and X‐ray Enhancing Cancer Therapies

Advanced Functional Materials, EarlyView.
In this study, we produced HfN‐based nanoparticles via femtosecond laser ablation in acetone. The nanoparticles exhibit a red‐shifted plasmonic resonance in the NIR‐I window, colloidal stability after coating with polyethyleneglycol, and excellent biocompatibility. The photothermal and X‐ray sensitization therapeutic effects were demonstrated for tumor
Julia S. Babkova, Ivan V. Zelepukin, Lyubov V. Gorelik, Anton L. Popov, Andrei I. Pastukhov, Gleb V. Tikhonowski, Maxim S. Savinov, Danil D. Kolmanovich, Nikita A. Pivovarov, Alina Yu. Kapitannikova, Anton A. Popov, Anna S. Sogomonyan, Vsevolod A. Skribitsky, Aziz B. Mirkasymov, Andrei V. Kabashin, Sergey M. Deyev   +15 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