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Detection method of LDoS attacks based on combination of ANN & KPCA
Published 2018-05-01“…Low-rate denial-of-service (LDoS) attack is a new type of attack mode for TCP protocol.Characteristics of low average rate and strong concealment make it difficult for detection by traditional DoS detecting methods.According to characteristics of LDoS attacks,a new LDoS queue future was proposed from the router queue,the kernel principal component analysis (KPCA) method was combined with neural network,and a new method was present to detect LDoS attacks.The method reduced the dimensionality of queue feature via KPCA algorithm and made the reduced dimension data as the inputs of neural network.For the good sell-learning ability,BP neural network could generate a great LDoS attack classifier and this classifier was used to detect the attack.Experiment results show that the proposed approach has the characteristics of effectiveness and low algorithm complexity,which helps the design of high performance router.…”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging
Published 2025-06-01“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
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Effects of cinnamic acid treatment on aroma of Kyoho grape during low temperature storage
Published 2025-06-01“…During the stage of Kyoho grape berries, the internal aroma components undergo a series of complex changes over time, which are directly related to its economic value and popularity in the market. …”
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Validity and Reliability of the Dutch version of the Affective Control Scale
Published 2025-04-01“…Additionally, the complexities of bifactor models may lead to overfitting of the data. …”
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Abnormality-aware multimodal learning for WSI classification
Published 2025-02-01“…This approach enhances the ability to comprehensively analyze WSIs for cancer diagnosis and subtyping. …”
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An Adaptive Denoising Method for Photon-Counting LiDAR Point Clouds: Application in Intertidal Zones
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The Use of Large Language Models for Translating Buddhist Texts from Classical Chinese to Modern English: An Analysis and Evaluation with ChatGPT 4, ERNIE Bot 4, and Gemini Advance...
Published 2024-12-01“…Focusing on three distinct Buddhist texts encompassing various literary forms and complexities, the analysis examines the models’ capabilities in handling specialized Buddhist terminology, classical Chinese grammar, and the translation of complex, lengthy sentences. …”
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Parametrical Synthesis of Radio Devices with the Set Quantity of Identical Cascades for Inclusion Variants of Jet Two-port Networks between a Nonlinear Part and Loading
Published 2021-12-01“…As a matching device, reactive, resistive, complex, or mixed quad-poles were used.Aim. Development of algorithms for parametric synthesis of radio devices with an arbitrary number of identical cascades of the "nonlinear part – matching reactive quadrupole" type according to the criterion of ensuring the specified frequency characteristics. …”
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NRWI: a novel spectral index optimized for waterbody extraction from high-resolution GF-2 satellite imagery
Published 2025-08-01“…Systematic spectral analysis of 2,400 pure pixels across 12 land cover categories demonstrates NRWI’s enhanced ability to separate water from urban features (buildings/shadows). …”
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A Pilot Study on Thermal Comfort in Young Adults: Context-Aware Classification Using Machine Learning and Multimodal Sensors
Published 2025-07-01“…Modern data-driven approaches often fail to capture the complex interactions between various data streams. …”
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Deep behavioral phenotyping tracks functional recovery following tibia fracture in mice
Published 2025-08-01“…By contrast, we observed only minor sex-specific differences in impairment and recovery following fracture. Our analysis revealed that functional recovery is more complex than individual parameters viewed in isolation, with different parameters identifying distinct recovery timeframes. …”
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CWTHF: Identifying Dark Matter Halos with Continuous Wavelet Transform
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Adomian Decomposition and Variational Iteration Methods in the Context of Partial Differential Equations
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A robust deep learning framework for multiclass skin cancer classification
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