|
|
|
|
|
Shurui Fan, Dongxia Hao, Yu Feng, Kewen Xia and Wenbiao Yang
Accurate and reliable air quality predictions are critical to the ecological environment and public health. For the traditional model fails to make full use of the high and low frequency information obtained after wavelet decomposition, which easily lead...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marcos Álvarez-Díaz, Manuel González-Gómez and María Soledad Otero-Giráldez
|
|
|
|
|
|
|
|
|
|
|
Marcos Álvarez-Díaz, Manuel González-Gómez and María Soledad Otero-Giráldez
This study explores the forecasting ability of two powerful non-linear computational methods: artificial neural networks and genetic programming. We use as a case of study the monthly international tourism demand in Spain, approximated by the number of t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Karin Kandananond
Demand planning for electricity consumption is a key success factor for the development of any countries. However, this can only be achieved if the demand is forecasted accurately. In this research, different forecasting methods?autoregressive integrated...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maryam Hosseinzadeh,Saeed Daei-Karimzadeh
Pág. 166 - 174
Numerous factors affect the insurance industry and its growth and development that comprehensive study and recognition about them and taking action to solve or control the negative effects of each one can in turn have a significant effect on the developm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chi Han, Wei Xiong and Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Efrain Noa-Yarasca, Javier M. Osorio Leyton and Jay P. Angerer
Timely forecasting of aboveground vegetation biomass is crucial for effective management and ensuring food security. However, research on predicting aboveground biomass remains scarce. Artificial intelligence (AI) methods could bridge this research gap a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Georgios Louloudis, Christos Roumpos, Emmanouil Louloudis, Eleni Mertiri and Georgios Kasfikis
In the coal phase-out era, achieving sustainable mine closure is significant and prioritizes targets for the mining industry. In this study, the already closed lignite mine of Kardia, North Greece, is investigated, where the mine void left is naturally f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pei-Ching Chen and Kai-Yi Chien
In recent years, optimal control which minimizes a cost function formulated by weighted states and control inputs has been applied to the seismic control of structures. Optimal control requires structural states which may not be available in real applica...
ver más
|
|
|
|
|
|
|
|
|
|
This paper provides a novel bad data detection processor to identify false data injection attacks (FDIAs) on the power system state estimation. The attackers are able to alter the result of the state estimation virtually intending to change the result of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Majid Fereidoon and Manfred Koch
Accurate estimates of daily rainfall are essential for understanding and modeling the physical processes involved in the interaction between the land surface and the atmosphere. In this study, daily satellite soil moisture observations from the Advanced ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Petros Brimos, Areti Karamanou, Evangelos Kalampokis and Konstantinos Tarabanis
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown grea...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tian Xu and Qingnian Zhang
To analyze the changing characteristics of ship traffic flow in wind farms water area, and to improve the accuracy of ship traffic flow prediction, a Gated Recurrent Unit (GRU) of a Recurrent Neural Network (RNN) was established to analyze multiple traff...
ver más
|
|
|
|
|
|
|
|
|
|
|
Montserrat Sacie, Matilde Santos, Rafael López and Ravi Pandit
One of the most promising solutions that stands out to mitigate climate change is floating offshore wind turbines (FOWTs). Although they are very efficient in producing clean energy, the harsh environmental conditions they are subjected to, mainly strong...
ver más
|
|
|
|
|
|
|
|
|
|
|
Taoying Li, Miao Hua and Qian Yin
The big data from various sensors installed on-board for monitoring the status of ship devices is very critical for improving the efficiency and safety of ship operations and reducing the cost of operation and maintenance. However, how to utilize these d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ye Tian, Yue-Ping Xu, Zongliang Yang, Guoqing Wang and Qian Zhu
This study applied a GR4J model in the Xiangjiang and Qujiang River basins for rainfall-runoff simulation. Four recurrent neural networks (RNNs)?the Elman recurrent neural network (ERNN), echo state network (ESN), nonlinear autoregressive exogenous input...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kanishkavikram Purohit, Shivangi Srivastava, Varun Nookala, Vivek Joshi, Pritesh Shah, Ravi Sekhar, Satyam Panchal, Michael Fowler, Roydon Fraser, Manh-Kien Tran and Chris Shum
The proliferation of electric vehicle (EV) technology is an important step towards a more sustainable future. In the current work, two-layer feed-forward artificial neural-network-based machine learning is applied to design soft sensors to estimate the s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miaomiao Hou, Xiaofeng Hu, Jitao Cai, Xinge Han and Shuaiqi Yuan
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial?temporal crime prediction...
ver más
|
|
|
|
|
|