|
|
|
|
|
Jiandong Bai, Jiawei Zhu, Yujiao Song, Ling Zhao, Zhixiang Hou, Ronghua Du and Haifeng Li
Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system. However, it remains challenging considering the complex spatial and temporal dependencies among traffic flows. In ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Josh Kroschel, Minou Rabiei and Vamegh Rasouli
The oil and gas industry has shifted paradigms after seeing the drastic decrease in oil prices since 2015. Companies are now focused as much on cost reduction as much as production maximization to drive profitable operations. This aspect is more prevalen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Han Yue, Lian Duan, Mingshen Lu, Hongsheng Huang, Xinyin Zhang and Huilin Liu
Many studies have identified the influences of PM2.5. However, very little research has addressed the spatiotemporal dependence and heterogeneity in the relationships between impact factors and PM2.5. This study firstly utilizes spatial statistics and ti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Liu, Yong Zhang, Chen Chen, Yue Hu, Cong Liu and Jing Chen
The purpose of this study is to investigate whether spatial-temporal dependence models can improve the prediction performance of short-term freight volume forecasts in inland ports. To evaluate the effectiveness of spatial-temporal dependence forecasting...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kaiqi Chen, Min Deng and Yan Shi
Traffic forecasting plays a vital role in intelligent transportation systems and is of great significance for traffic management. The main issue of traffic forecasting is how to model spatial and temporal dependence. Current state-of-the-art methods tend...
ver más
|
|
|
|
|
|
|
|
|
|
|
José-Luis Molina, Santiago Zazo, Pablo Rodríguez-Gonzálvez, Diego González-Aguilera
Pág. 1 - 21
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, es...
ver más
|
|
|
|
|
|
|
|
|
|
|
José-Luis Molina, Santiago Zazo, Pablo Rodríguez-Gonzálvez and Diego González-Aguilera
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, es...
ver más
|
|
|
|
|
|
|
|
|
|
|
Robbert Claeys, Hakim Azaioud, Rémy Cleenwerck, Jos Knockaert and Jan Desmet
This paper proposes a novel feature construction methodology aiming at both clustering yearly load profiles of low-voltage consumers, as well as investigating the stochastic nature of their peak demands. These load profiles describe the electricity consu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu and Luo Chen
High crowd mobility is a characteristic of transportation hubs such as metro/bus/bike stations in cities worldwide. Forecasting the crowd flow for such places, known as station-level crowd flow forecast (SLCFF) in this paper, would have many benefits, fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunlei Mi, Shifen Cheng and Feng Lu
Predicting taxi-calling demands at the urban area level is vital to coordinate the supply?demand balance of the urban taxi system. Differing travel patterns, the impact of external data, and the expression of dynamic spatiotemporal demand dependence pose...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mario A. Aguirre-López, Miguel Angel Rodríguez-González, Roberto Soto-Villalobos, Laura Elena Gómez-Sánchez, Ángela Gabriela Benavides-Ríos, Francisco Gerardo Benavides-Bravo, Otoniel Walle-García and María Gricelda Pamanés-Aguilar
Air-quality monitoring and analysis are initial parts of a comprehensive strategy to prevent air pollution in cities. In such a context, statistical tools play an important role in determining the time-series trends, locating areas with high pollutant co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jesús Barreal,Maria L. Loureiro
Pág. e022
Aim of study: The goal of this paper is to analyse the importance of the main contributing factors to the occurrence of wildfires. Area of study: We employ data from the region of Galicia during 2001-2010; although the similarities shared between this ar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuai Lu, Haibo Chen and Yilong Teng
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunwei Hu, Xianfeng Liu, Sheng Wu, Fei Yu, Yongkun Song and Jin Zhang
Accurate crowd flow prediction is essential for traffic guidance and traffic control. However, the high nonlinearity, temporal complexity, and spatial complexity that crowd flow data have makes this problem challenging. This research proposes a dynamic g...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huijuan Ding and Giseop Noh
To effectively address air pollution and enhance air quality, governments must be able to predict the air quality index with high accuracy and reliability. However, air quality prediction is subject to ambiguity and instability because of the atmosphere?...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiaan Zhang, Chenyu Liu and Leijiao Ge
The large fluctuations in charging loads of electric vehicles (EVs) make short-term forecasting challenging. In order to improve the short-term load forecasting performance of EV charging load, a corresponding model-based multi-channel convolutional neur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaolei Diao, Xiaoqiang Li and Chen Huang
The same action takes different time in different cases. This difference will affect the accuracy of action recognition to a certain extent. We propose an end-to-end deep neural network called ?Multi-Term Attention Networks? (MTANs), which solves the abo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meiyan Qin, Yi Zeng, Xin Zeng and Qing Liao
The influence of the waveform of circularly polarized laser field on high-order harmonic (HH) generation from atoms is investigated by solving the time-dependent Schrödinger equation (TDSE) and by classical trajectory analysis, without assuming an initia...
ver más
|
|
|
|
|
|
|
|
|
|
|
AMADOR ARGETE,IAN SIMMONDS
This paper describes temporal cloudiness variability from Nimbus-7 satellite observations and a GCM simulation. The GCM clouds are parameterized using the cumulative normal distribution function to relate fractional cloud amount with large-scale relat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongguo Ren, Ziming Zheng, Jing Zhang, Qingqin Wang and Yujun Wang
Urban landscape parks play a crucial role in providing recreational opportunities for citizens. Different types of landscapes offer varying levels of comfort experiences. However, the assessment of landscape comfort primarily relies on subjective evaluat...
ver más
|
|
|
|
|
|