Results 71 to 80 of about 4,103,347 (253)

State-Space and Multi-Scale Convolutional Generative Adversarial Network for Traffic Flow Forecasting

Systems
Long-sequence traffic flow forecasting plays a crucial role in intelligent transportation systems. However, existing Transformer-based approaches face a quadratic complexity bottleneck in computation and are prone to over-smoothing in deep architectures.
Wenxie Lin, Zhe Zhang, Yangzhen Zhao, Jinyu Zhang, Gang Ren   +4 more
doaj   +1 more source

Calibration and Validation of Microscopic Traffic Flow Models [PDF]

, 2004
Microscopic simulation models are becoming increasingly important tools in modeling transport systems. There are a large number of available models used in many countries.
Brockfeld, Elmar, Kühne, Reinhart, Wagner, Peter   +2 more
core  

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations [PDF]

, 2011
Short-term traffic flow forecasting is a critical function in advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS).
Zhang, Yanru
core   +1 more source

Spatio-Temporal Heterogeneous learning for Traffic Flow Forecasting in Smart Transportation

Journal of Applied Science and Engineering
Accurate traffic flow forecasting is crucial for enhancing urban transportation efficiency and travel experiences. However, existing methods face challenges in capturing the complex spatio-temporal heterogeneity of traffic data.
Kaibin Wei, Jianqiang Jing, Haifeng Li, Xiannian Xie, Furong Li   +4 more
doaj   +1 more source

Nuclear Pore Mechanotransduction in Oncology: A Structural Axis of Vulnerability for Targeted Intervention

Advanced Materials, EarlyView.
Cancer‐associated NPC remodeling creates a high‐flux, low‐stringency nuclear state that supports malignant adaptation but increases mechanical fragility. Targeting the FG‐barrier or NPC scaffold may drive mechanostat failure, envelope rupture, DNA damage, and loss of nuclear integrity.
Sílvio Terra Stefanello, Caren Rigon Mizdal, Aline Franzen da Silva, Yun Qian, Wei‐En Yuan, Victor Shahin   +5 more
wiley   +1 more source

Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting

IET Intelligent Transport Systems
For the transport networks only equipped with sparse or isolated detectors, short‐term traffic flow forecasting faces the following problems: (1) there are only temporal information and no spatial information; (2) the noises in the traffic flow ...
Kai Li, Weihua Bai, Shaowei Huang, Guanru Tan, Teng Zhou, Keqin Li   +5 more
doaj   +1 more source

Internet traffic dynamics [PDF]

The telecommunications industry has evolved at unprecedented rates with current estimates suggesting that seven percent of the world’s population now has access to the Internet.
Coble-Neal, Grant, Madden, Gary G
core  

Internet Traffic Flow Analysis using Hadoop [PDF]

, 2017
The internet traffic analysis elucidates the network administrator for monitoring the ongoing operation in the network and to understand the network so that the behavior could be examined and large problem can be examined.
Sudipa Biswas
core  

Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting

, 2023
Traffic flow forecasting is a challenging task due to its spatio-temporal nature and the stochastic features underlying complex traffic situations.
Kumar, Neeraj, Ning, Xin,, Xin Ning, Prayag Tiwari, Neeraj Kumar, Kintak U, Nowaczyk, Sławomir, Tiwari, Prayag, Ning, Xin, Guojun Liang, Liang, Guojun,, Liang, Guojun, U, Kintak,, Tiwari, Prayag,, Nowaczyk, Sławomir,, U, Kintak, Slawomir Nowaczyk, Kumar, Neeraj,   +17 more
core   +1 more source