Results 1 to 10 of about 305,545 (230)
Unveiling Insights: Harnessing the Power of the Most-Frequent-Value Method for Sensor Data Analysis
Sensors, 2023 The paper explores the application of Steiner’s most-frequent-value (MFV) statistical method in sensor data analysis. The MFV is introduced as a powerful tool to identify the most-common value in a dataset, even when data points are scattered, unlike ...
Victor V. Golovko +2 more
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An Approach to Improving GNSS Positioning Accuracy Using Several GNSS Devices
Remote Sensing, 2021 Single point positioning (SPP) mode, related to pseudorange measurements, limits the level of accuracy to several meters in open sky and to several dozens of meters in urban canyons.
María Jesús Jiménez-Martínez +2 more
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Minimum covariance determinant-based bootstrapping for appraising air passenger arrival data [PDF]
Journal of Engineering Management and Competitiveness, 2022 Air travel management is a case-special process since it includes different types of uncertainties such as ungovernable passenger mobility, variable costs as well as extraordinary restrictions like the Covid-19 pandemic.
Tutmez Bulent
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A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship [PDF]
Journal of Agricultural Sciences (Belgrade), 2012 This study addresses the problem of model selection in asymmetric price transmission models by combining the use of bootstrap methods with information theoretic selection criteria.
Acquah Henry de-Graft
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Remote Sensing, 2020 Forest/non-forest and forest species maps are often used by forest inventory programs in the forest estimation process. For example, some inventory programs establish field plots only on lands corresponding to the forest portion of a forest/non-forest ...
Jessica Esteban +4 more
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Journal of Low Power Electronics and Applications, 2022 A bootstrapping technique used to increase the intrinsic voltage gain of a bulk-driven MOS transistor is described in this paper. The proposed circuit incorporates a capacitor and a cutoff transistor to be connected to the gate terminal of a bulk-driven ...
Juan M. Carrillo +1 more
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Remote Sensing, 2020 This study predicts forest fire susceptibility in Chaloos Rood watershed in Iran using three machine learning (ML) models—multivariate adaptive regression splines (MARS), support vector machine (SVM), and boosted regression tree (BRT). The study utilizes
Bahareh Kalantar +5 more
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Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data
Applied Sciences, 2021 Machine learning has been proven to be effective in various application areas, such as object and speech recognition on mobile systems. Since a critical key to machine learning success is the availability of large training data, many datasets are being ...
Hyeongmin Cho, Sangkyun Lee
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Convolutional Neural Networks Refitting by Bootstrapping for Tracking People in a Mobile Robot
Applied Sciences, 2021 Convolutional Neural Networks are usually fitted with manually labelled data. The labelling process is very time-consuming since large datasets are required.
Claudia Álvarez-Aparicio +5 more
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BioTechniques, 2017 Sarah Webb explores how DIYbio strategies are helping biologists in traditional labs do better science.
Sarah Webb
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