|
|
|
|
|
Eunju Hwang
Daily data on COVID-19 infections and deaths tend to possess weekly oscillations. The purpose of this work is to forecast COVID-19 data with partially cyclical fluctuations. A partially periodic oscillating ARIMA model is suggested to enhance the predict...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shurong Peng, Lijuan Guo, Haoyu Huang, Xiaoxu Liu and Jiayi Peng
The integration of large-scale wind power into the power grid threatens the stable operation of the power system. Traditional wind power prediction is based on time series without considering the variability between wind turbines in different locations. ...
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
|
|
|
|
|
|
|
|
|
|
|
José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander Shknevsky, Yuval Shahar and Robert Moskovitch
We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the Semantic Adjacency Criterion [SAC], which filters out temporal patterns that contain potentially semantically contradicto...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mili Turic, Stipe Celar, Srdjana Dragicevic and Linda Vickovic
Effort estimation is always quite a challenge, especially for agile software development projects. This paper describes the process of building a Bayesian network model for effort prediction in agile development. Very few studies have addressed the appli...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuo Wang, Kailun Feng and Yaowu Wang
In construction planning, decision making has a great impact on final project performance. Hence, it is essential for project managers to assess the construction planning and make informed decisions. However, disproportionately large uncertainties occur ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francisco Javier Moreno Arboleda, Georgia Garani and Simon Zea Gallego
In this paper, a measure is proposed that, based on the trajectories of moving objects, computes the speed limit rate in each of the cells in which a region is segmented (the space where the objects move). The time is also segmented into intervals. In th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cun Jia, Lei Wang, Youquan Zhang, Meihui Lin, Yan Wan, Xiwu Zhou, Chunsheng Jing and Xiaogang Guo
To investigate the diurnal variation in phytoplankton biomass and its regulating factors during the diurnal cycle, we conducted in situ observations in June 2018 at three buoy stations, including Douwei Buoy Station, Minjiang Estuary Buoy Station, and Hu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haitong Xu and C. Guedes Soares
A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the acc...
ver más
|
|
|
|
|
|