An interpretable approach for trustworthy intrusion detection systems against evasion samples by Ngoc Tai Nguyen, Hien Do Hoang, The Duy Phan, Van-Hau Pham

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An interpretable approach for trustworthy intrusion detection systems against evasion samples by Ngoc Tai Nguyen, Hien Do Hoang, The Duy Phan, Van-Hau Pham

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Adaptive Multi-Gradient Guidance with Conflict Resolution for Limited-Sample Regression by Yu Lin, Jiaxiang Lin, Keju Zhang, Qin Zheng, Liqiang Lin, Qianqian Chen

“…Recent studies report that gradient guidance extracted from a single-reference model can improve Limited-Sample regression. However, one reference model may not capture all relevant characteristics of the target function, which can restrict the capacity of the learner. …”
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Exploring the Perceptions of EFL Learners on Ambiguity Tolerance: Sakarya University Sample by Orhan Kocaman, Melek Pamukoğlu

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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…Next, we showed that mGrades were effective in assessing risk levels for G2 samples. Finally, we identified common and unique biological and genetic features in samples of low and high mGrades across breast, lung, and renal cancers. …”
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An Adaptive Sampling Algorithm for Target Tracking in Underwater Wireless Sensor Networks by Yanlong Sun, Yazhou Yuan, Xiaolei Li, Qimin Xu, Xinping Guan

“…In this paper, we propose an adaptive sampling algorithm for target tracking in UWSNs to address this issue. …”
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Sample Inflation Interpolation for Consistency Regularization in Remote Sensing Change Detection by Zuo Jiang, Haobo Chen, Yi Tang

“…However, while these methods enhance noise robustness, they also risk overlooking subtle but meaningful changes, leading to information loss and missed detections. To address this issue, we introduce a simple yet efficient method called Sample Inflation Interpolation (SII). …”
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Enhanced Helicopter Vibration Prediction With Hybrid Sampling and Cost Mining Techniques by Jeonghun Kim, Keunho Choi, Donghee Yoo

“…To address these challenges, this study develops a machine learning-based prediction model using vibration test data from the cockpit of a Korean utility helicopter. To mitigate the issue of class imbalance in the dataset, two hybrid sampling techniques are proposed and analyzed: first oversampling and last undersampling (FOLU) and first undersampling and last oversampling (FULO). …”
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Collaborative Filtering Recommendation-Based Random Negative Sampling and Graph Attention by Weiqiang Li, Xianghui Li, Xiaowen Liu, Xinhuan Chen, Ming Ma

“…To address this issue, this paper proposes a collaborative filtering recommendation based on random negative sampling and graph attention (NGACF). …”
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The Impact of Age on Outcomes in Seizure Hospitalizations—Analysis of a National Sample by Anudeep Surendranath, Saurabh Singhal, Rahul Khanna, Subhendu Rath, Temenuzhka Mihaylova

“…<b>Objective:</b> Seizures are a critical public health issue, with incidence rising significantly after age 50. …”
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Characterization of sleep apnea among a sample of adults from Samoa by Lacey W. Heinsberg, Alysa Pomer, Brian E. Cade, Jenna C. Carlson, Take Naseri, Muagututia Sefuiva Reupena, Satupa'itea Viali, Daniel E. Weeks, Stephen T. McGarvey, Susan Redline, Nicola L. Hawley

“…Sleep apnea is a global public health concern, but little research has examined this issue in low- and middle-income countries, including Samoa. …”
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Development of multivalent CAR T cells as dual immunotherapy and conditioning agents by Quenton Rashawn Bubb, Mohammad Balood, Gabe Eduardo Seir, Leah Swartzrock, Ethan Haslett, Katie Ho, Peng Xu, Saida G. Wiltz, Elena Sotillo, Tanja A. Gruber, Rebecca M. Richards, Crystal L. Mackall, Agnieszka Czechowicz

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Prevalence of decreased olfactory function in adults in a Brazilian population sample by Wilker Antunes Lira, Gilmar Felisberto Junior, Marco Aurélio Fornazieri, Wilma Terezinha Anselmo Lima, Ingrid Werner Picinini, Vanessa Ramos Pires Dinarte

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Distributed K-Means algorithm based on a Spark optimization sample. by Yongan Feng, Jiapeng Zou, Wanjun Liu, Fu Lv

“…To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. …”
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Neutrosophic Mean Estimators Using Extreme Indeterminate Observations in Sample Surveys by Vinay Kumar Yadav, Deepak Majhi, Alia A. Alkhathami, Shakti Prasad

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Sample size justification in feasibility studies: moving beyond published guidance by Robert Montgomery

“…In this paper, we review common methods for determining samples sizes in feasibility studies, report a narrative review of recently published feasibility studies and use two case-studies to highlight core issues we believe exist in the current design and reporting of these studies. …”
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Controlled Text Generation of Lung Cancer Descriptions for Small Sample Data by Xiaochao Dang, Zhengzhang Zhao, Fenfang Li

“…To address the aforementioned issues, this paper proposes a controlled text generation method for lung cancer symptom descriptions in the context of small sample data. …”
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Design of path planning robot simulator by applying sampling based method by Heru Suwoyo, Julpri Andika, Andi Adriansyah

“…The level of computational efficiency, path optimality, and the ability to adapt to variant environments are some of the issues that still arise, although these techniques have shown good results in many cases. …”
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NORM in soil and sludge samples in Dukhan oil Field, Qatar state by mohammad mohammad hushari

“…Recently NORM subjected to restricted regulation issued by high legal authority at Qatar state. Twenty five samples of soil from Dukhan onshore oil field and 10 sludge samples collected from 2 offshore fields at Qatar state. …”
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Family-to-Work Facilitation, Sex, and Gender: A Sample of University Employees by Selda Coşkuner Aktaş, Birgül Çiçek

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