Results 61 to 70 of about 210,556 (289)

Revisiting Flow Information for Traffic Prediction

, 2019
Traffic prediction is a fundamental task in many real applications, which aims to predict the future traffic volume in any region of a city. In essence, traffic volume in a region is the aggregation of traffic flows from/to the region. However, existing traffic prediction methods focus on modeling complex spatiotemporal traffic correlations and ...
Zhou, Xian, Shen, Yanyan, Huang, Linpeng
openaire   +2 more sources

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

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

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  

Effects of Prediction Feedback in Multi-Route Intelligent Traffic Systems

, 2010
We first study the influence of an efficient feedback strategy named prediction feedback strategy (PFS) based on a multi-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. In this
Arnott, Ben-Akiva, Biham, Binghong Wang, Chowdhury, Chuanfei Dong, Dong, Friesz, Helbing, Helbing, Helbing, Helbing, Kachroo, Lee, Lehmann, Mahmassani, Nagatani, Nagel, Paveri-Fontana, Prigogine, Rothery, Wagner, Wahle, Wang, Xiaoyan Sun, Xu Ma, Yokoya   +26 more
core   +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

Using Upstream and Downstream Traffic Information for Short term Traffic Flow Prediction Based on LSTM Recurrent Neural Network

Journal of Harbin University of Science and Technology, 2019
We employ the long/shortterm memory (LSTM) recurrent neural network to analyze the impact of various input settings on shortterm traffic flow prediction performance First, we compared the shortterm traffic flow prediction performance for different ...
MAN Chun-tao, KANG Dan-qing
doaj   +1 more source

Estimation and prediction of road traffic flow using particle filter for real-time traffic control [PDF]

, 2013
Real-data testing results of a real-time state estimator and predictor are presented with particular focus on the feature of enabling of detector fault alarms and also its relation to queue-length based traffic control.
Joelianto, Endra, Sugian, Taufik, Sutarto, Herman   +2 more
core   +1 more source

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

Mixed-Graph Neural Network for Traffic Flow Prediction by Capturing Dynamic Spatiotemporal Correlations

ISPRS International Journal of Geo-Information
Traffic flow prediction is a prominent research area in intelligent transportation systems, significantly contributing to urban traffic management and control.
Xing Su, Pengcheng Li, Zhi Cai, Limin Guo, Boya Zhang   +4 more
doaj   +1 more source