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Peng Liu, Chen Dai, Shuo Zhao, Shuaiqiang Li, Bilong Liu and Guijie Liu
Underwater pressure-bearing structures are produced in practice by means of pressure self-enhancement methods in order to improve the stress distribution and enhance the pressure-bearing performance. On the other hand, the pairs equation shows that stres...
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Pedro Santana and José Moura
To handle the exponential growth of data-intensive network edge services and automatically solve new challenges in routing management, machine learning is steadily being incorporated into software-defined networking solutions. In this line, the article p...
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Yunchuan Liu, Amir Ghasemkhani and Lei Yang
This paper investigates the short-term wind farm generation forecast. It is observed from the real wind farm generation measurements that wind farm generation exhibits distinct features, such as the non-stationarity and the heterogeneous dynamics of ramp...
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Jorge L. Serras, Susana Vinga and Alexandra M. Carvalho
Outliers are observations suspected of not having been generated by the underlying process of the remaining data. Many applications require a way of identifying interesting or unusual patterns in multivariate time series (MTS), now ubiquitous in many app...
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Candela Maceiras, José M. Pérez-Canosa, Diego Vergara and José A. Orosa
The present paper shows an original study of more than 163 ship accidents in Spain showing which of the usually employed variables are related to each type of vessel accident due to the lack of information in this region. To this end, research was carrie...
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Austin D. Lewis and Katrina M. Groth
Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the use of conditional probabilities and directed acyclic graph models. DBNs enable the forward and backward inference of system states, diagnosing current sys...
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Younyoung Choi and Cayce McClenen
Online formative assessments in e-learning systems are increasingly of interest in the field of education. While substantial research into the model and item design aspects of formative assessment has been conducted, few software systems embodied with a ...
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Francesca de Rosa and Alessandro De Gloria
The use of Bayesian networks for behavioral analysis is gaining attention. The design of such algorithms often makes use of expert knowledge. The knowledge is collected and organized during the knowledge acquisition design task. In this paper, we discuss...
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Haifeng Li, Qing Chen, Chang Fu, Zhe Yu, Di Shi and Zhiwei Wang
Parameter identification in load models is a critical factor for power system computation, simulation, and prediction, as well as stability and reliability analysis. Conventional point estimation based composite load modeling approaches suffer from distu...
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Sema Atasever, Zafer Aydin, Hasan Erbay and Mostafa Sabzekar
Predicting the secondary structure from protein sequence plays a crucial role in estimating the 3D structure, which has applications in drug design and in understanding the function of proteins. As new genes and proteins are discovered, the large size of...
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