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Ehsan Nikkhah, Antonio Carlos Fernandes and Jean-David Caprace
Online monitoring of mooring system response for the FPSO platform in any operational condition is so far challenging for machine learning (ML). This paper presents a new dynamic NARX ANN model for time series of mooring tension and a static MLP model fo...
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Sunghae Jun
In big data analysis, various zero-inflated problems are occurring. In particular, the problem of inflated zeros has a great influence on text big data analysis. In general, the preprocessed data from text documents are a matrix consisting of the documen...
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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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Maximilian Hoffmann and Ralph Bergmann
Similarity-based retrieval of semantic graphs is a core task of Process-Oriented Case-Based Reasoning (POCBR) with applications in real-world scenarios, e.g., in smart manufacturing. The involved similarity computation is usually complex and time-consumi...
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Tzu-Tsung Wong, Shih-Hsuan Hung
Topcoat paint is mainly composed of resin and pigment and hence its quality highly depends on the type and proportion of these two ingredients. This study aims at testing the formula of the topcoat paint for finding one that can achieve better quality fo...
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Haiqi Wang, Liuke Li, Lei Che, Haoran Kong, Qiong Wang, Zhihai Wang and Jianbo Xu
Due to the increasingly complex objects and massive information involved in spatial statistics analysis, least squares support vector regression (LS-SVR) with a good stability and high calculation speed is widely applied in regression problems of geospat...
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Mimi Mukherjee and Matloob Khushi
Real-world datasets are heavily skewed where some classes are significantly outnumbered by the other classes. In these situations, machine learning algorithms fail to achieve substantial efficacy while predicting these underrepresented instances. To solv...
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Karshiev Sanjar, Olimov Bekhzod, Jaesoo Kim, Anand Paul and Jeonghong Kim
Accurate house price forecasts are very important for formulating national economic policies. In this paper, we offer an effective method to predict houses? sale prices. Our algorithm includes one-hot encoding to convert text data into numeric data, feat...
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Chao Sun,David Stirling
Decision tree algorithms were not traditionally considered for sequential data classification, mostly because feature generation needs to be integrated with the modelling procedure in order to avoid a localisation problem. This paper presents an Event Gr...
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K. Liu, P. Ayers, H. Howard, R. Jones, A. Anderson
Pág. 1019 - 1024
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