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Research on Attack Detection of Cyber Physical Systems Based on Improved Support Vector Machine
Mathematics, 2022 Cyber physical systems (CPS), in the event of a cyber attack, can have a serious impact on the operating physical equipment. In order to improve the attack detection capability of CPS, an support vector machine (SVM) attacks detection model based on ...
Fengchun Liu +3 more
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Iterative Metric Learning for Imbalance Data Classification [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 In many classification applications, the amount of data from different categories usually vary significantly, such as software defect predication and medical diagnosis. Under such circumstances, it is essential to propose a proper method to solve the imbalance issue among the data.
Nan Wang 0015 +3 more
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Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces
IEEE Access, 2022 Generative Adversarial Network (GAN) based techniques can generate and synthesize realistic faces that cause profound social concerns and security problems.
Hui Guo +4 more
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Applied Sciences, 2023 The phases of high-entropy alloys (HEAs) are closely related to their properties. However, phase prediction bears a significant challenge due to the extensive search space and complex formation mechanisms of HEAs.
Yifan Zhang +4 more
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Data imbalance in CRISPR off-target prediction
Briefings in Bioinformatics, 2019 Abstract For genome-wide CRISPR off-target cleavage sites (OTS) prediction, an important issue is data imbalance—the number of true OTS recognized by whole-genome off-target detection techniques is much smaller than that of all possible nucleotide mismatch loci, making the training of machine learning model very challenging.
Gao, Yuli +4 more
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Learning from data streams and class imbalance [PDF]
Connection Science, 2019 With the wide application of machine learning algorithms to the real world, class imbalance and concept drift have become crucial learning issues.
Shuo Wang 0005 +3 more
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Adaptive Age Estimation towards Imbalanced Datasets
Applied Sciences, 2023 Current age estimation datasets often have a skewed long-tail distribution with significant data imbalance, rather than an ideal uniform distribution for each category.
Zhiang Dong, Xiaoqiang Li
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IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions
IEEE AccessBearings in mining scraper conveyors, essential transmission components, are frequently subjected to harsh environments, including high temperatures, heavy impact loads, dust contamination, and prolonged operational durations.
Hongwei Wang +7 more
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An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection
Entropy, 2022 To overcome the lack of flexibility of Harris Hawks Optimization (HHO) in switching between exploration and exploitation, and the low efficiency of its exploitation phase, an efficient improved greedy Harris Hawks Optimizer (IGHHO) is proposed and ...
Lewang Zou, Shihua Zhou, Xiangjun Li
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Budgetary and External Imbalances Relationship: A Panel Data Diagnostic [PDF]
SSRN Electronic Journal, 2009 We assess the cointegration relationship between current account and budget balances, and effective real exchange rates, using recent bootstrap panel cointegration techniques and SUR methods. We investigate the magnitude of the relationship between the two imbalances for each country for the period 1970-2007, and for different EU and OECD country ...
António Afonso, Christophe Rault
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