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Preprocessing under uncertainty [PDF]
, 2015 In this work we study preprocessing for tractable problems when part of the input is unknown or uncertain. This comes up naturally if, e.g., the load of some machines or the congestion of some roads is not known far enough in advance, or if we have to ...
Fafianie, Stefan +2 more
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Mathematics, 2022 Data normalization is a data preprocessing task and one of the first to be performed during intellectual analysis, particularly in the case of tabular data.
Ivan Izonin +4 more
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IEEE Access, 2023 Recent user recognition technologies have focused on biometric signals to remotely identify users in the access management, medical welfare, and public sectors.
Yejin Kim, Gyuho Choi, Chang Choi
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The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy
Entropy, 2021 Permutation Entropy (PE) is a powerful tool for measuring the amount of information contained within a time series. However, this technique is rarely applied directly on raw signals.
Antonio Dávalos +3 more
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Journal of Intelligent Systems, 2022 Day-to-day lives are affected globally by the epidemic coronavirus 2019. With an increasing number of positive cases, India has now become a highly affected country.
Kesavan Tamilselvi +1 more
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Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine
Remote Sensing, 2021 Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications.
Adugna Mullissa +7 more
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Repairing Artifacts in Neural Activity Recordings Using Low-Rank Matrix Estimation
Sensors, 2023 Electrophysiology recordings are frequently affected by artifacts (e.g., subject motion or eye movements), which reduces the number of available trials and affects the statistical power.
Shruti Naik +2 more
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Histogram Adjustment of Images for Improving Photogrammetric Reconstruction
Sensors, 2021 The accuracy of photogrammetric reconstruction depends largely on the acquisition conditions and on the quality of input photographs. This paper proposes methods of improving raster images that increase photogrammetric reconstruction accuracy.
Piotr Łabędź +3 more
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A Comprehensive Review of Speech Emotion Recognition Systems
IEEE Access, 2021 During the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems.
Taiba Majid Wani +4 more
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Измерение, мониторинг, управление, контроль, 2022 Background. In the recognition of speech signals to work in various spheres of human life, the developer has to solve the problem of processing of speech signals, in particular the problem of non-stationarity.
V.V. Kozlov, E.A. Fokina, A.A. Trofimov
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