Results 71 to 80 of about 154,707 (286)

Short‐term traffic flow prediction based on AST‐MTL‐CNN‐GRU

IET Intelligent Transport Systems, 2023
To address the current objective of short‐term traffic flow prediction on roads, this paper aims to predict not only the future traffic flow on roads, but also the average speed of future roads. Specifically, the authors propose a short‐term traffic flow
Zijing Yang, Cheng Wang
doaj   +1 more source

Deep Learning with Long Short-Term Memory for Time Series Prediction

, 2018
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies that are embedded in time series is often an obstacle for most algorithms,
Chen, Xianfu, Hua, Yuxiu, Li, Rongpeng, Liu, Zhiming, Zhang, Honggang, Zhao, Zhifeng   +5 more
core   +1 more source

Short-term Traffic Flow Prediction Based on Deep Learning

DEStech Transactions on Engineering and Technology Research, 2020
The accuracy of short-term traffic flow prediction is affected by two factors: one is the accuracy of data collection, and another is model selection. During data collection, aiming at the high cost and low precision of the traditional use of fixed equipment to collect traffic flow data, this paper proposes an algorithm model combining convolutional ...
Dong-mei ZHAI, Chao-hui SHI, Hong ZHAO
openaire   +2 more sources

Serotonergic System‐Targeted Nucleic Acid Hydrogel Coordinates Excitability Restoration and Circuit Reconstruction for Spinal Cord Injury Therapy

Advanced Materials, EarlyView.
The study reports a DNA/RNA heteroduplex hydrogel (SeroPTEN‐CG) that undergoes DNase‐mediated hydrogel‐to‐nanogel transition for spinal cord injury therapy by targeting the serotonergic system, combining 5‐hydroxytryptamine (5‐HT)‐mediated excitability restoration to reactivate dormant interneurons with phosphatase and tensin homolog (PTEN)‐targeted ...
Chunlin Li, Xiaoqing Zhao, Kai Jiang, Haixia Kang, Shuo Liu, Linlin Jiang, Baoshuai Bai, Haonan Cui, Ziyang Zhang, Menglei Dong, Ruizhi Zhang, Chenbo Zou, Shenghui Shang, Chi Zhang, Xiangchuang Fan, Lijuan Zhu, Huiquan Duan, Chuan Zhang, Shiqing Feng, Hengxing Zhou   +19 more
wiley   +1 more source

Piezoelectric Stimulation of Neural Cells: Exploring the Synergistic Potential of Hybrid Scaffolds for Enhanced Regeneration

Advanced Materials Interfaces, EarlyView.
Hybrid piezoelectric scaffolds offer a promising route for Central Nervous System regeneration by combining structural and electrical cues to support neural stem cell growth. This review highlights their potential to overcome current challenges in neural tissue engineering by exploring porous hybrid materials, their biological interactions, and ...
Heather F. Titterton, Chris R. Bowen, Hamideh Khanbareh   +2 more
wiley   +1 more source

Multiplexed Luminal Tissue Constructs with Reconfigurable Barriers for Dynamic Modeling of Multi‐Tissue Interactions

Advanced Materials Technologies, EarlyView.
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun, José A. Jiménez‐Torres, Chao Li, Jose M. Ayuso, Karina Lugo‐Cintron, Joseph Ulbrich, Benjamin Myers, Sheena C. Kerr, Adeel Ahmed, David J. Beebe   +9 more
wiley   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

Advanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam, Saikat Sahoo, Yoosun Kim, Dongmin Go, Jeongho Choo, Cheonkyu Park, Seungtae Yang, Giuk Lee   +7 more
wiley   +1 more source

An Artificial Neural Network Model for Short-Term Traffic Flow Prediction in Two Lane Highway in Khulna Metropolitan City, Bangladesh

Emerging Technologies and Engineering Journal
Short-term traffic flow prediction is one of the most significant research topics in traffic engineering. It is instrumental in designing a more modern transport network to manage traffic signals and reduce congestion.
Md. Ebrahim Shaik, Monirul Islam, Md. Ripon Kobir, Kazi Furkan   +3 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU

IEEE Access, 2019
Accurate short-term traffic forecasts help people choose transportation and travel time. Through the query data, many models for traffic flow prediction have neglected the temporal and spatial correlation of traffic flow, so that the prediction accuracy ...
Guowen Dai, Changxi Ma, Xuecai Xu
doaj   +1 more source

CD207‐Positive Dendritic Cells Promote Emphysema Through CD8+ T Cell Pathway in Chronic Obstructive Pulmonary Disease

Advanced Science, EarlyView.
CD207+ dendritic cells (DCs) drive emphysema by promoting CD8⁺ T cell cytotoxicity via Birbeck granule‐dependent MHC‐I antigen presentation. This DC subset is expanded by cigarette smoke‐induced oxidative stress, which triggers granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) release from airway epithelium.
Shurui Xuan, Yunhui Wu, Feng Liu, Heng Fu, Yaqi Meng, Yingwei Ou, Xijing Yuan, Ian M. Adcock, Man Jia, Xiaoning Zeng, Xin Yao   +10 more
wiley   +1 more source