Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study by Wei Wu, Zheng-gang Fang, Shu-qin Yang, Cai-xia Lv, Shu-yi An

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A Proposal for a Deflection-Based Evaluation Method for Barrel Support Brackets in the Extended Application of Fire Shutters in Logistics Facilities by Jong Won Shon, Heewon Seo, Daehoi Kim, Seungjea Lee, Sungho Hong, Subin Jung

“…Furthermore, the support capacities at ambient temperature and at 700 °C were compared, and regression analysis was conducted to assess the Accuracy and error rates associated with different deflection limits (L/180 to L/480). …”
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A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications by Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman, Muhammad Wasim Nawaz, Ateeq Ur Rehman, Habib Hamam

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Vision-Based 6D Pose Analytics Solution for High-Precision Industrial Robot Pick-and-Place Applications by Balamurugan Balasubramanian, Kamil Cetin

“…Experimental results across four distinct picking scenarios demonstrate the proposed solution’s superior accuracy, with position errors under 2 mm, orientation errors below 1°, and a perfect success rate in pick-and-place tasks.…”
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Utility of Certain AI Models in Climate-Induced Disasters by Ritusnata Mishra, Sanjeev Kumar, Himangshu Sarkar, Chandra Shekhar Prasad Ojha

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Exploring vaginal microbiome: from traditional methods to metagenomic next-generation sequencing—a systematic review by Siying Liu, Yuxin Chen, Kunxiu Zhang, Dan Tang, Ji Zhang, Yuxin Wang, Jiaqi Zhao, Diyan Li, Tao Wang

“…Several factors can affect data quality, including sampling procedures, contamination issues, and PCR amplification errors. We suggest implementing third-generation sequencing (TGS) to address these challenges to enhance reproducibility and read length, utilizing single-molecule sequencing (SMS) to eliminate PCR amplification-related errors, and integrating multiple analytical approaches to provide comprehensive insights. …”
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Experimental Characterization of Commercial Scroll Expander for Micro-Scale Solar Organic Rankine Cycle Application: Part 2 by Federico Fagioli, Maria Manieri, Gianmarco Agostini, Michele Salvestroni, Francesco Taddei, Filippo Cottone, Maurizio De Lucia

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Two-round Fill-up Method for Feature Extraction in Complex Watersheds and Its Application to the Pearl River Basin by WANG Jiahu, PU Wenjie, DU Jiayang, ZHANG Wenming, LI Li

“…Compared with the manually digitized watersheds, the results of this paper show the total area error of -11.0%, of which the area error of the Dongjiang River is -3.6%, and that of the Xijiang River is -2.5%, having an obvious advantage, compared with similar products (HydroSHEDS and Zhonghong System backstage data). …”
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Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes. by Yu Jiang, Sai Chen, Daniel McGuire, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu

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BAYESIAN ADDITIVE REGRESSION TREE APPLICATION FOR PREDICTING MATERNITY RECOVERY RATE OF GROUP LONG-TERM DISABILITY INSURANCE by Stevanny Budiana, Felivia Kusnadi, Robyn Irawan

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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Comparison of Three Supervised Learning Methods for Digital Soil Mapping: Application to a Complex Terrain in the Ecuadorian Andes by Martin Hitziger, Mareike Ließ

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Theoretical analysis of MOFs for pharmaceutical applications by using machine learning models to predict loading capacity and cell viability by Bader Huwaimel, Saad Alqarni

“…Evaluation metrics, including R2, Root Mean Squared Error (RMSE), and maximum error, indicated that the QR-MLP model outperformed the other models, achieving test R2 scores of 0.99917 for Drug Loading Capacity and 0.99111 for Cell Viability. …”
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The optimization method for wind field retrieval using high-density radar networks and its application effect verification by Ran XU, Liping LIU

“…The basic characteristics of Majorization 3 and Majorization 1 are consistent, with wind speed errors less than 1.7 m·s-1 and wind direction errors within 10°. …”
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Application of Curtain Grouting for Seepage Control in the Dongzhuang Dam: A 3D Fracture Network Modeling Approach by Ning Xia, Wen Nie, Zhenjia Yang, Yang Wu, Tuo Li

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Self-Weighted Quantile Estimation for Drift Coefficients of Ornstein–Uhlenbeck Processes with Jumps and Its Application to Statistical Arbitrage by Yuping Song, Ruiqiu Chen, Chunchun Cai, Yuetong Zhang, Min Zhu

“…These methods generally assume specific error distributions and finite variances. However, with the increasing uncertainty in financial markets, asset prices exhibit characteristics such as skewness and heavy tails, which lead to biases in traditional estimators. …”
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Large-Signal Nonlinear Average Model for a Voltage-Controlled Flyback Converter by David Eduardo Giraldo-Hernández, Mario Andrés Bolaños-Navarrete, Fabiola Angulo, Gustavo Osorio, Nicols Astaiza, Juan David Mina-Casaran, Wilder Herrera

“…Numerical simulations in a study case confirm that the model effectively captures the converter dynamics under various conditions, achieving steady-state errors below 0.07% and accelerations up to 54×. These results facilitate efficient design iterations across a broad range of applications, including renewable energy systems, battery charging, and electric vehicles.…”
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Nitrogen and potassium application effects on productivity, profitability and nutrient use efficiency of irrigated wheat (Triticum aestivum L.). by Sandeep Sharma, Gagandeep Kaur, Pritpal Singh, Saud Alamri, Ritesh Kumar, Manzer H Siddiqui

“…The calculated mean absolute error (MAE), mean absolute percentage error (MAPE) and root mean square error (RMSE) for wheat were 0.0087, 0.834 and 0.052, respectively. …”
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A Grey CES Production Function Model and Its Application in Calculating the Contribution Rate of Economic Growth Factors by Maolin Cheng

“…However, the traditional CES function model that is built directly from economic data often shows apparent errors in parameter estimation due to data fluctuations. …”
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Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China by Hongwu Zhou, Haidong Pan, Shuang Li, Xianqing Lv

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