Results 11 to 20 of about 93,524 (286)
Garbage Classification Using Ensemble DenseNet169
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Garbage is a big problem for the sustainability of the environment, economy, and society, where the demand for waste increases along with the growth of society and its needs.
Ulfah Nur Oktaviana, Yufis Azhar
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Adaptive neighbor synthetic minority oversampling technique under 1NN outcast handling [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2017 SMOTE is an effective oversampling technique for a class imbalance problem due to its simplicity and relatively high recall value. One drawback of SMOTE is a requirement of the number of nearest neighbors as a key parameter to synthesize instances ...
Wacharasak Siriseriwan +1 more
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Spectral Efficiency of One-Bit Sigma-Delta Massive MIMO [PDF]
, 2020 We examine the uplink spectral efficiency of a massive MIMO base station employing a one-bit Sigma-Delta ( \Sigma \Delta ) sampling scheme implemented in the spatial rather than the temporal domain.
Pirzadeh, H +3 more
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PLoS ONE, 2020 One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Class imbalance happens where an instance in the class of interest is relatively low, when compared to the rest of the data.
Kevin Teh +4 more
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Oversampling of wavelet frames for real dilations [PDF]
, 2012 We generalize the Second Oversampling Theorem for wavelet frames and dual wavelet frames from the setting of integer dilations to real dilations. We also study the relationship between dilation matrix oversampling of semi-orthogonal Parseval wavelet ...
Bownik, Marcin, Lemvig, Jakob
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A Hybrid GAN-Based Approach to Solve Imbalanced Data Problem in Recommendation Systems
IEEE Access, 2022 With the advent of information technology, the amount of online data generation has been massive. Recommendation systems have become an effective tool in filtering information and solving the problem of information overload.
Wafa Shafqat, Yung-Cheol Byun
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Frontiers in Materials, 2022 Digital twins in the mechanics of materials usually involve multimodal data in the sense that an instance of a mechanical component has both experimental and simulated data.
Axel Aublet +4 more
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Handling oversampling in dynamic networks using link prediction [PDF]
, 2015 Oversampling is a common characteristic of data representing dynamic networks. It introduces noise into representations of dynamic networks, but there has been little work so far to compensate for it. Oversampling can affect the quality of many important
A-L Barabási +10 more
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Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
Frontiers in Bioengineering and Biotechnology, 2022 Imbalanced classification is widespread in the fields of medical diagnosis, biomedicine, smart city and Internet of Things. The imbalance of data distribution makes traditional classification methods more biased towards majority classes and ignores the ...
Ke-Fan Wang +6 more
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Applied Sciences, 2019 A dropout early warning system enables schools to preemptively identify students who are at risk of dropping out of school, to promptly react to them, and eventually to help potential dropout students to continue their learning for a better future ...
Sunbok Lee, Jae Young Chung
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