Performance analysis of a rate adaptive multi-band ultra-wideband system based on quadrature fractal modulation scheme

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Numerical Simulation and Experimental Validation of Residual Stress in Heavy Machine Tool Crossbeam Casting During Demolding by Jingfan Cheng, Yiqi Zhang, Dunming Liao

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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Ibrahim Shomope MS, Kelly M. Percival BS, Nabil M. Abdel Jabbar PhD, Ghaleb A. Husseini PhD

“…RF and SVM models were trained and evaluated using mean absolute error (MAE), mean squared error (MSE), coefficient of determination (R²), and the a20 index as performance metrics. …”
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Performance analysis of a rate adaptive multi-band ultra-wideband system based on quadrature fractal modulation scheme

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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

“…First, to decrease the data dimensionality, the sintering production data is addressed through principal component analysis (PCA) and the principal components with the accumulated contribution rate no more than 95% are extracted as the inputs of the predictive model based on Extreme Learning Machine (ELM). …”
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COMPARISON FORECASTING BETWEEN SINGULAR SPECTRUM ANALYSIS AND LOCAL LINEAR METHOD FOR SHIP ACCIDENT SEARCH AND RESCUE OPERATIONS IN INDONESIA by Rien Recylia, Toha Saifudin, Nur Chamidah, M. Fariz Fadillah Mardianto

“…From the analysis results, it is known that the method with the smallest MAPE is the Local Linear method with a MAPE of test data of 18.67% (good forecasting category), optimal bandwidth (h) = 4.299, and CV (h) = 231.39 where bandwidth is used to determine the level of smoothness of the estimate, while the CV (h) value is used to select the optimal bandwidth that minimizes the estimation error. …”
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ESTIMATION OF TOMATO FRUIT FIRMNESS USING DIGITAL IMAGING by Anderson G. Costa, Layana A. da Silva, João C. L. de Carvalho, Túlio de A. Machado

“…Principal component analysis enabled the dimensionality to be reduced to a single principal component (explanatory percentage of the data variance of 97.06%), which was used to generate firmness estimation equations. …”
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Recognition of Handwritten Characters in Birch-Bark Manuscripts via Object Detection by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

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Application of the Montgomery Equation in Morphometric Analysis of Tepals: A Case Study of <i>Liriodendron</i> × <i>sinoamericanum</i> by Zhuyue Shi, Jinfeng Wang, Guohong Sun, Wenjing Yao, Peijian Shi, Honghua Ruan

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Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology by Pengfei Wang, Gen Liu, Jian Wang, Ping Zhu, Jiaqi Guo, Jingxuan Zhang, Heyu Zhang, Yijia Liu

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Prediction of Earthquake Death Toll Based on Principal Component Analysis, Improved Whale Optimization Algorithm, and Extreme Gradient Boosting by Chenhui Wang, Xiaotao Zhang, Xiaoshan Wang, Guoping Chang

“…The method first employs PCA to reduce the dimensionality of the influencing factor data, eliminating redundant information and improving modeling efficiency. …”
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Comparative Analysis of Ultra-Wideband and Mobile Laser Scanning Systems for Mapping Forest Trees under A Forest Canopy by Z. Liu, H. Kaartinen, T. Hakala, H. Hyyti, A. Kukko, A. Kukko, J. Hyyppa, J. Hyyppa, R. Chen

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Estimation of Copula Density Using the Wavelet Transform by Fatimah Hashim Falhi, Munaf Yousif Hmood

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Study of the Reasons for Sponsorship of Football in Iran (A Meta-Analytical Study) by Fahimeh Abdolhosseinlou, Mohammad Nasiri

“…Data analysis was performed using CMA2 and SPSS software.Results: A total of 73 factors were extracted and classified into seven main categories and entered the meta-analysis process. …”
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Effect of Key Parameters on Ploughing Force Performance of Planing-Type Anti-Climbers by Zhuyao Li, Jiyou Fei, Dongxue Song, Hong He, Chang Liu, Chong Zhang

“…The results demonstrate that the model achieves ≤15% relative error compared with the simulation data and ≤5% deviation from the experimental measurements, confirming its engineering applicability. …”
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Accuracy assessment of the calorimetric system for measurement of ITER’s fusion energy output by Lukasz Tomkow, Eleonore Geulin, Daniel Iglesias, Matthew Clough, George Vayakis, Michael Walsh

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Dynamic spatio-temporal reconstruction, evaluation and trend analysis of satellite-based rainfall: a comprehensive study in Samastipur, Bihar by G. M. Rajesh, Sudarshan Prasad

“…The results reveal that, Rainfall was underestimated by satellite product and Before bias correction, TRMM data exhibited significant discrepancies in rainfall estimates, with varying biases and mean errors across grid points. …”
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Life Time Prediction of an Electromagnet Relay using Clustering based Principal Component Analysis with Hybrid Deep Learning Model by T. Maris Murugan, C. Reeda Lenus, S. Sridharan, A. Malligarjun

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Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study by Leila Nezamabadi Farahani, Anoshirvan Kazemnejad, Mahlagha Afrasiabi, Leili Tapak

“…Objective: This study aimed to develop a hybrid model for variable selection in high-dimensional survival analysis using a support vector regression (SVR), to identify prognostic biomarkers associated with survival in oral cancer (OC) patients through the analysis of gene expression data.Materials and Methods: In this retrospective cohort study, gene expression profiles (54,613 probes) related to 97 patients from the GSE41613 dataset from the GEO repository were used. …”
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Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks by Alexey Sulavko, Alexander Samotuga, Irina Kuprik

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