|
|
|
|
|
Guofeng Wang, Baohui Zhao and Mengqi Zhao
Global warming affects food security and ecological security, and it threatens economic stability and sustainable agricultural development. The transformation and development of agriculture have significant implications for the achievement of the ?dual-c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christos Karras, Aristeidis Karras, Konstantinos C. Giotopoulos, Markos Avlonitis and Spyros Sioutas
In the context of big-data analysis, the clustering technique holds significant importance for the effective categorization and organization of extensive datasets. However, pinpointing the ideal number of clusters and handling high-dimensional data can b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aristeidis Karras, Christos Karras, Nikolaos Schizas, Markos Avlonitis and Spyros Sioutas
The field of automated machine learning (AutoML) has gained significant attention in recent years due to its ability to automate the process of building and optimizing machine learning models. However, the increasing amount of big data being generated ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Piero Mazzetti and Anna Carbone
Periodic and non-periodic components of electrophysiological signals are modelled in terms of syncronized sequences of closed loops of firing neurons correlated according to a Markov chain. Single closed loops of firing neurons reproduce fundamental and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weiying Wang and Toshihiro Osaragi
Human movements have raised broad attention, and many models have been developed to reproduce them. However, most studies focus on reproducing the statistical properties of human mobility, such as the travel distance and the visiting frequency. In this p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changwon Yoo, Efrain Gonzalez, Zhenghua Gong and Deodutta Roy
Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data). This article prese...
ver más
|
|
|
|
|
|
|
|
|
|
|
Katleho Makatjane and Ntebogang Moroke
During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Filippo Landi, Francesca Marsili, Noemi Friedman and Pietro Croce
In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs. Through such a Bayesian framework, a probabilistic description of parameters ...
ver más
|
|
|
|
|
|
|
|
|
|
|
X.A. Lifanova,K.S. Zaytsev
Pág. 60 - 67
The desire to apply information technology in all spheres of human activity recently requires new approaches to process management. This article is devoted to solving the problem of using the Process Mining technology to identify illegitimate influences ...
ver más
|
|
|
|
|
|