Results 1 to 10 of about 25,310,122 (328)
Data-Driven Anomaly Detection Approach for Time-Series Streaming Data. [PDF]
Sensors (Basel), 2020 Recently, wireless sensor networks (WSNs) have been extensively deployed to monitor environments. Sensor nodes are susceptible to fault generation due to hardware and software failures in harsh environments.
Zhang M, Guo J, Li X, Jin R.
europepmc +2 more sources
Streaming Data Fusion for the Internet of Things. [PDF]
Sensors (Basel), 2019 To achieve the full analytical potential of the streaming data from the internet of things, the interconnection of various data sources is needed. By definition, those sources are heterogeneous and their integration is not a trivial task.
Kenda K +3 more
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Sensors, 2022 This work is devoted to a cost-effective method for the automatic placement of visual sensors within a smart room to ensure the requirements for its design.
Iaroslav Khutornoi +2 more
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Sensors, 2023 Typically, the quality of the bitumen adhesion in asphalt mixtures is assessed manually by a group of experts who assign subjective ratings to the thickness of the residual bitumen coating on the gravel samples.
Dmitrii Kamianskii +4 more
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Semi-supervised segmentation of metastasis lesions in bone scan images
Frontiers in Molecular Biosciences, 2022 To develop a deep image segmentation model that automatically identifies and delineates lesions of skeletal metastasis in bone scan images, facilitating clinical diagnosis of lung cancer–caused bone metastasis by nuclear medicine physicians.
Qiang Lin +14 more
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Incident Retrieval and Recognition in Video Stream Using Wi-Fi Signal
IEEE Access, 2021 Retrieving incidents from video stream plays an important role in many computer vision applications. However, most video surveillance system can neither recognize incidents nor support content-based retrieval before the video stream is saved into files ...
Yusheng Hao, Weilan Wang, Qiang Lin
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Asian Journal of Research in Computer Science, 2023 Aims: The data which is continuously being produced by hundreds of thousands of data sources is recognized as streamed data. The data which is processed via this kind of source is relatively smaller in size and is being sent at the same time it is ...
Alexander Lemzin
semanticscholar +1 more source
A Robust Variable Selection Method for Sparse Online Regression via the Elastic Net Penalty
Mathematics, 2022 Variable selection has been a hot topic, with various popular methods including lasso, SCAD, and elastic net. These penalized regression algorithms remain sensitive to noisy data.
Wentao Wang +4 more
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FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams
Sensors, 2021 Efficient and accurate estimation of the probability distribution of a data stream is an important problem in many sensor systems. It is especially challenging when the data stream is non-stationary, i.e., its probability distribution changes over time ...
Namuk Park, Songkuk Kim
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Renewable quantile regression for streaming data sets
Neurocomputing, 2022 Online updating is an important statistical method for the analysis of big data arriving in streams due to its ability to break the storage barrier and the computational barrier under certain circumstances.
R. Jiang, Keming Yu
semanticscholar +1 more source