Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

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A note on potential gains in precision of radiation risk estimates from joint analysis by Richard Sposto, Munechika Misumi, John Cologne

“…Using as a basis excess relative risk (ERR) and excess absolute risk (EAR) models of the type commonly used in analysis of LSS data at RERF, we use maximum likelihood theory to compute the asymptotic relative standard error of endpoint-specific radiation effect and other parameter estimates using joint analyses as compared to traditional independent analysis. …”
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Monetary Policy Spillovers Through Industrial Growth in Nigeria: A Time Series Analysis by Shobande Olatunji A.

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Joint Sparse Local Linear Discriminant Analysis for Feature Dimensionality Reduction of Hyperspectral Images by Cong-Yin Cao, Meng-Ting Li, Yang-Jun Deng, Longfei Ren, Yi Liu, Xing-Hui Zhu

“…Although linear discriminant analysis (LDA)-based subspace learning has been widely applied to hyperspectral image (HSI) classification, the existing LDA-based subspace learning methods exhibit several limitations: (1) They are often sensitive to noise and demonstrate weak robustness; (2) these methods ignore the local information inherent in data; and (3) the number of extracted features is restricted by the number of classes. …”
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Burned area detection based on time-series analysis in a cloud computing environment by J.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano

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Corrigendum: The accuracy and precision of CT-RSA in arthroplasty: a systematic review and meta-analysis by Sjors F van de Vusse, Nienke N de Laat, Lennard A Koster, Bart Kaptein

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Analysis and Prediction of Spring-Back in Cylindrical Helical Springs Using Analytical and Numerical Models by Nicola Zani, Luigi Solazzi

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POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

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Feature Importance Analysis for Compressive Bearing Capacity of HSCM Piles Based on GA-BPNN by Fangzhou Chu, Jiakuan Ma, Yang Luan, Shilin Chen

“…A high-quality database comprising 1243 data points was established through finite element numerical simulations. …”
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Modeling and Analysis of Optical Time-domain Reflectometry in Strongly-coupled Multi-core Fiber by XING Rui, YANG Zhiqun, YAN Hui, LIU Yaping, WANG Xutao, WANG Yanze, ZHANG Wendou, ZHANG Lin

“…Finally, the article processes the transmission data simulated by the model and conducts a comparative analysis based on the set parameters.…”
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A Flow-Speed Model for Motorways in England: Analysis Under Various Weather Conditions by Ye Liu, Haibo Chen, Chuhan Yin, Vivi Michalaki, Phillip Proctor, Gavin Rowley, Xiaowei Wang, Hongyuan Wei

“…The results showed that both free-flow speed and road capacity were significantly reduced by up to 7% and 11%, respectively, under different rainfall conditions, and that congestion management should be triggered in advance on rainy days. Further analysis of extensive data over a wider space and time is required to test the transferability of these findings to other contexts.…”
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Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis by Lindung Parningotan Manik, Harry Susianto, Arawinda Dinakaramani, R. Niken Pramanik, Totok Suhardijanto

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Skin Hydration Monitoring Using a Microwave Sensor: Design, Fabrication, and In Vivo Analysis by Shabbir Chowdhury, Amir Ebrahimi, Kamran Ghorbani, Francisco Tovar-Lopez

“…The results confirm in vivo skin hydration monitoring by detecting frequency shifts in the reflection response within the 50–200 MHz range. The measurements and data analysis show less than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.037</mn><mo>%</mo></mrow></semantics></math></inline-formula> error in transmission zero (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>f</mi><mi>z</mi></msub></semantics></math></inline-formula>) together with less than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.5</mn><mo>%</mo></mrow></semantics></math></inline-formula> error in transmission pole (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>f</mi><mi>p</mi></msub></semantics></math></inline-formula>) while being used to detect skin hydration status on individual human subjects. …”
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Optimal payload lengths of reliable multicast schemes by ZHU Feng1, WU Ling-shuang2, GU Yuan-tao1

“…Using total transmission time-the time needed to guarantee reliable data dissemination——as judgment criterion,the payload length selection problem was investigated for three multicast solutions which are based on simple feedback retransmission,Reed-Solomon codes,and LT fountain codes,respectively,with the consideration of packet overhead.A theoretical analysis method was proposed to determine the optimal payload lengths,which was verified by simulations.Analyses and simulations indicate,for variable packet overhead sizes and link bit error rates,each method considered has its optimal payload length.As link bit error rate increases,the performance gain brought by the selection of optimal pay-load lengths becomes more significant.Among the three solutions,the reliable multicast solution based on LT fountain codes has the most outstanding performance.…”
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Optimal payload lengths of reliable multicast schemes by ZHU Feng1, WU Ling-shuang2, GU Yuan-tao1

“…Using total transmission time-the time needed to guarantee reliable data dissemination——as judgment criterion,the payload length selection problem was investigated for three multicast solutions which are based on simple feedback retransmission,Reed-Solomon codes,and LT fountain codes,respectively,with the consideration of packet overhead.A theoretical analysis method was proposed to determine the optimal payload lengths,which was verified by simulations.Analyses and simulations indicate,for variable packet overhead sizes and link bit error rates,each method considered has its optimal payload length.As link bit error rate increases,the performance gain brought by the selection of optimal pay-load lengths becomes more significant.Among the three solutions,the reliable multicast solution based on LT fountain codes has the most outstanding performance.…”
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ASTER GDEM Correction Based on Stacked Ensemble Learning and ICEsat-2/ATL08: A Case Study from the Qilian Mountains by Qi Wei, Yanli Zhang, Yalong Ma, Ruirui Yang, Kairui Lei

“…Furthermore, unmanned aerial vehicle (UAV) DEM data from five sample areas were selected for profile analysis, and it was found that the corrected GDEM was closer to the real surface. …”
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Automated Event Log Analysis With Causal Dependency Graphs for Impact Assessment of Business Processes by Melina Raptaki, George Stergiopoulos, Dimitris Gritzalis

“…Traditional BIAs are manual, relying on consultants to interview employees, which can be inefficient and error-prone. Process mining, an established field in business management, offers automated techniques to map business processes via log analysis. …”
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RIS-Assisted Wireless System in the Presence of Direct Channel: Channel Statistics and Performance Analysis by Soumya P. Dash, Debasish Ghose

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Research on Temperature Field Analysis Method of High-Speed Bearing Chamber–Bearing System by Ping Gong, Jingjing Zhang, Zhenxia Liu, Manyuan Li

“…Secondly, considering the heat generation of the bearings and the thermal boundary conditions, a temperature field analysis model is formulated. The calculated results are found to be in close agreement with the actual test data, with an error of less than 10% under three operational conditions. …”
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Factors of treatment success in psychotherapy: a within-therapist analysis of early session processes by Yan Zhu, Mark J. Hilsenroth

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