Results 11 to 20 of about 988,211 (198)
Applied Sciences, 2020 Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease outbreak detection.
Yıldız Karadayı +2 more
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Gong-kuang zidonghua, 2020 In view of problems of low visualization degree,low outburst prediction accuracy and low real-time performance in existing coal and outburst prediction methods,a multivariate data visualization system for coal and gas outburst prediction is constructed ...
PU Yang, SONG Zhiqiang, NING Xiaoliang
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A novel time series classification for multivariate data using improved deep belief-recurrent neural network with optimal dynamic time warping [PDF]
MATEC Web of ConferencesIn the past ten years, data from time series extraction has attracted a lot of attention. Several methods have concentrated on classification problems, where the objective is to identify the labelling of a test period, given labelled training data ...
Mohan Babu Bukya, Sandhya B.
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A Sparse Autoencoder-Based Unsupervised Scheme for Pump Fault Detection and Isolation
Applied Sciences, 2020 Pumps are one of the most critical machines in the petrochemical process. Condition monitoring of such parts and detecting faults at an early stage are crucial for reducing downtime in the production line and improving plant safety, efficiency and ...
Xiaoxia Liang +3 more
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Automatic Annotation of Unlabeled Data from Smartphone-Based Motion and Location Sensors
Sensors, 2018 Automatic data annotation eliminates most of the challenges we faced due to the manual methods of annotating sensor data. It significantly improves users’ experience during sensing activities since their active involvement in the labeling process ...
Nsikak Pius Owoh +2 more
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Topological Data Analysis for Multivariate Time Series Data
Entropy, 2023 Over the last two decades, topological data analysis (TDA) has emerged as a very powerful data analytic approach that can deal with various data modalities of varying complexities.
Anass B. El-Yaagoubi +2 more
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Multivariate Regression Forest for Categorical Attribute Data [PDF]
Jisuanji kexue, 2022 As categorical attributes cannot be utilized directly in some regression models like the linear regression,SVR and most multivariate regression trees,a multivariate split method dealing with multiple types of data is prompted in this paper.We define the ...
LIU Zhen-yu, SONG Xiao-ying
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Multivariate Data Exploration Through Coordinated Views
IEEE Access, 2022 Many fields of study still face the challenges inherent to the analysis of complex multidimensional datasets, such as the field of computational biology, whose research of infectious diseases must contend with large protein-protein interaction networks ...
Antonio Cruz +2 more
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Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2017 Assessments of the relevance of the kinds of attributes regulated by classifiers, evaluation of parameters of individual reliability, of parameters of reliability of multivariate data clusters relate to the primary problems the decision of which would ...
E. M. Farhadzadeh +3 more
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The Phenomena Implied by the New Economy from Statistics Perspective [PDF]
Informatică economică, 2006 The rapidity of the informational society to transform into an information and knowledge society determines a perspective on the New Economy which would consider the Internet market and the effect of the Internet information on all economic agents, and ...
Giani GRADINARU +2 more
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