Results 11 to 20 of about 77,058 (245)
Determination of transfer function in large area system with remote independent signal observations [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2014 [b]Abstract[/b]. On the example of the simulated, large area power grid, the methods for the transfer function determination between distanced excitation/observation points have been proposed and verified.
Piotr Figoń, Zbigniew Staroszczyk
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Bootstrap Assessment of Crop Area Estimates Using Satellite Pixels Counting
Stats, 2022 Crop area estimates based on counting pixels over classified satellite images are a promising application of remote sensing to agriculture. However, such area estimates are biased, and their variance is a function of the error rates of the classification
Cristiano Ferraz +3 more
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KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network
Sensors, 2022 Over the past decade, gait recognition had gained a lot of attention in various research and industrial domains. These include remote surveillance, border control, medical rehabilitation, emotion detection from posture, fall detection, and sports ...
A. S. M. Hossain Bari +1 more
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Revealing Traces of Image Resampling and Resampling Antiforensics
Advances in Multimedia, 2017 Image resampling is a common manipulation in image processing. The forensics of resampling plays an important role in image tampering detection, steganography, and steganalysis.
Anjie Peng, Yadong Wu, Xiangui Kang
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Credit Card Fraud Detection using Data mining and Statistical Methods [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually.
S. Beigi, M.R. Amin Naseri
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A CNN based hybrid approach towards automatic image registration
Geodesy and Cartography, 2013 Image registration is a key component of spatial analyses that involve different data sets of the same area. Automatic approaches in this domain have witnessed the application of several intelligent methodologies over the past decade; however accuracy of
Pattathal Vijayakumar Arun
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An Improved MbICP Algorithm for Mobile Robot Pose Estimation
Applied Sciences, 2018 This paper presents an improved version of the metric-based iterative closest point algorithm to estimate robot poses by matching 2D laser scans with different overlapping percentages. Because of the greatly varied density distribution of realistic point
Lin Li, Jun Liu, Xinkai Zuo, Haihong Zhu
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Bootstrap Methods for Epistemic Fuzzy Data
International Journal of Applied Mathematics and Computer Science, 2022 Fuzzy numbers are often used for modeling imprecise perceptions of the real-valued observations. Such epistemic fuzzy data may cause problems in statistical reasoning and data analysis. We propose a universal nonparametric technique, called the epistemic
Grzegorzewski Przemysław +1 more
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Resampling in neural networks with application to spatial analysis
Geo-spatial Information Science, 2022 In developing Artificial Neural Networks (ANNs), the available dataset is split into three categories: training, validation and testing. However, an important problem arises: How to trust the prediction provided by a particular ANN? Due to the randomness
Bruno Póvoa Rodrigues +3 more
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Effective Class-Imbalance Learning Based on SMOTE and Convolutional Neural Networks
Applied Sciences, 2023 Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models from achieving satisfactory results. ID is the occurrence of a situation where the quantity of the samples belonging to one class outnumbers that of the other by a wide margin ...
Javad Hassannataj Joloudari +4 more
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