DIFshilling: A Diffusion Model for Shilling Attacks by Weizhi Chen, Xingkong Ma, Bo Liu

“…We evaluate DIFshilling through extensive experiments on seven different victim RS models, demonstrating its superior transferability. …”
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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users by Christopher Meaney, Xuesong Wang, Jun Guan, Therese A. Stukel

“…For each HPO method, we estimated 100 extreme gradient boosting models at different hyper-parameter configurations; and evaluated model performance using an AUC metric on a randomly sampled validation dataset. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Firstly, the current research status of demand response mechanisms at the domestic and international levels is analyzed. Based on the different classification criteria of current demand response mechanisms, demand response mechanisms are classified into two categories: based on the guiding method and the evaluation method of the user's contribution to the system. …”
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Initial Recognition of Convertible Bonds in Accordance with IFRS: the Issuer’s Party by A. Yu. Kuzmin

“…The theoretical and practical significance of the research lies in the formation of scientific theoretical and applied tools based on evaluation algorithms and accounting and process models. …”
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Preliminary Development of a Database for Detecting Active Mounting Behaviors Using Signals Acquired from IoT Collars in Free-Grazing Cattle by Miguel Guarda-Vera, Carlos Muñoz-Poblete

“…A Support Vector Machine (SVM) algorithm is implemented to evaluate the effectiveness of the dataset in detecting active mounts and to compare training performance using both frames. …”
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The prognostic significance of epoxide hydrolases in colorectal cancer by Lichao Cao, Ying Ba, Fang Chen, Dandan Li, Shenrui Zhang, Hezi Zhang

“…The Kaplan–Meier method, correlation analysis and random forest algorithm were used to evaluate the prognostic value of EPHX family members for CRC. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Kristen M. Hart, Mariana M. P. B. Fuentes

“…In predictive modeling, practitioners often use correlative SDMs that only evaluate a single spatial scale and do not account for differences in life stages. …”
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Optimized planning of electric vehicle charging infrastructure for grid performance improvement by Mohammad Reza Maghami, Ka Fei Thang, Arthur G. O. Mutambara, Ali Akbar Firoozi, Elnaz Yaghoubi, Mehdi Zareian Jahromi, Elaheh Yaghoubi

“…The IEEE 69 Busbar system is the test network to evaluate EV integration under different load conditions. …”
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Validation of Cross-Calibration for the Time-Series of HJ-2A/B CCD Sensor Based on Baotou Sandy Site by Yidan Chen, Jie Han, Yutong Li, Yong Xie, Wen Shao, Aonan Hao

“…Finally, the study also evaluates the radiometric consistency between different cameras. …”
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Rapid State of Health Estimation Strategy for Retired Batteries Based on Resting Voltage Curves by Haihong Huang, Xin Liu, Wenjing Chang, Yuhang Wang

“…After discharging retired batteries to the same voltage, variations in the remaining state of charge (SOC) exist among batteries with different SOHs. These SOC differences lead to distinct trends in the resting voltage curves for varying SOH batteries. …”
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A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images by Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash

“…The performance of the proposed method is evaluated using various similarity measures, including Mean Squared Error and Mutual Information, and is tested using both synthesized and natural images under different levels of linear, non-linear, and combined deformation types. …”
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Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

“…However, the field lacks standardisation with little consensus as to what sample size produces reliable models.ObjectiveDetermine the optimum sample size for models developed with the machine learning algorithm, Random Forest, and different sample ratios.Materials and methodsTo overcome limitations with real vector data, a simulated vector with a fully known distribution in 10 test sites across Europe was used to randomly generate different samples sizes. …”
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Full-chain comprehensive assessment and multi-scenario simulation of geological disaster vulnerability based on the VSD framework: a case study of Yunnan province in China by Li Xu, Shucheng Tan, Runyang Li

“…Thus, scientifically assessing and predicting geological disasters and formulating disaster prevention and mitigation policies are of critical importance for promoting regional sustainable development. However, current evaluations of geological disasters often overlook the adaptive capacity of the disaster-bearing body and focus primarily on cross-sectional comparisons across different regions at specific time points, with insufficient attention to spatiotemporal dynamics. …”
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Research on Recommendation of Core Competencies and Behavioral Indicators of Pilots Based on Collaborative Filtering by Haiwen Xu, Yifan Kong, Hong Huang, Aimin Liang, Yunxiang Zhao

“…This paper proposes a new model of collaborative filtering that introduces a user difference factor to address the issue of less pronounced similarity performance in traditional algorithms. …”
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Traffic Capacity Assessment of the Urban Elevated Bridge after Near-Field Explosion Based on the Response Surface Method by Jinghui Jiang, Chaoyi Xia, Kunpeng Wang, He Xia, Qikai Sun

“…First, the finite element model of a reinforced concrete slab under near-field explosion is established by ANSYS/LS-DYNA software and compared with the experimental results, which verifies the effectiveness of the ALE (arbitrary Lagrangian–Eulerian) algorithm and the accuracy of the mesh size and material properties. …”
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A general modeling and simulation framework for dynamic vehicle routing by Markó Horváth, Tímea Tamási

“…A policy is a problem-specific algorithm that is invoked at various decision points in the planning horizon and returns a decision according to the current state. …”
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UWB/Wi-Fi RTT Integration for Personal Mobility Applications of CP User Groups by H. Perakis, G. Retscher, V. Gikas

“…We analyze the ranging accuracy of these techniques and evaluate positioning performance using different fusion algorithms. …”
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HOLa: HoloLens Object Labeling by Schwimmbeck Michael, Khajarian Serouj, Holzapfel Konstantin, Schmidt Johannes, Remmele Stefanie

“…HOLa does not have to be adjusted to a specific image appearance and could thus alleviate AR research in any application field.We evaluate HOLa for different degrees of image complexity in open liver surgery and in medical phantom experiments. …”
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Distribution and Moments of the Idle Period and Interarrival Time in the G/M/1 Queueing System by Felipe A. Cruz-Perez, Sandra Lirio Castellanos-Lopez, Genaro Hernandez-Valdez, Mario Eduardo Rivero-Angeles

“…The effects of the distribution and coefficient of variation of the interarrival time, and the traffic load on the distribution and first four standardized moments of the idle period are numerically evaluated. Additionally, the accuracy of the derived distribution and moments of the idle period when the LN interarrival time is approximated by HE distributions of different orders (using the Expectation-Maximization algorithm) is investigated. …”
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Classification of Metallic Powder Morphology Using Traditional and Automated Static Image Analysis: A Comparative Study by Cindy Charbonneau, Fabrice Bernier, Étienne Perrault, Roger Pelletier, Louis-Philippe Lefebvre

“…This approach uses multiple descriptors for quantitative evaluation. The results from shape descriptors can vary based on image resolution, gray/color thresholding, and software algorithms. …”
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