Improving forest above-ground biomass estimation using genetic-based feature selection from Sentinel-1 and Sentinel-2 data (case study of the Noor forest area in Iran) by Armin Moghimi, Ava Tavakoli Darestani, Nikrouz Mostofi, Mahdiyeh Fathi, Meisam Amani

“…The experimental results demonstrated that the RF model outperformed the MLR model in estimating forest AGB. …”
Get full text

Modeling the Future of Liquefied Natural Gas Transportation: Regression Analysis of Historical Data and Fleet Development Scenarios by Tatjana Stanivuk, Dario Korljan, Ladislav Stazić

Get full text

CFD-driven regression models for enhancing photovoltaic performance with nano fluid Cooling: Economic and environmental analysis by Mehdi Abedinzadeh Baghal Khosh Naghsh, Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Ramtin Javadijam

“…Numerical data from ANSYS Fluent simulations are used to train various regression models, with the most accurate model selected for predicting annual energy output and minimizing costly experimental tests. …”
Get full text

Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…Evaluasi kinerja model didasarkan pada matrik konfusi dan grafik ROC. …”
Get full text

Green Infrastructure: Opinion Mining and Construction Material Reuse Optimization Portal by Arturas Kaklauskas, Elisabete Teixeira, Yiannis Xenidis, Anastasia Tzioutziou, Lorcan Connolly, Sarunas Skuodis, Kestutis Dauksys, Natalija Lepkova, Laura Tupenaite, Loreta Kaklauskiene, Simona Kildiene, Jurgita Zidoniene, Virginijus Milevicius, Saulius Naimavicius

Subjects: Get full text

Study on Calibration Method of Micromechanical Parameters for Discrete Element Model of Moderately Consolidated Sandstones by Wenhong Zhang, Zhengchao Ma, Hantao Zhao, Tianyu Wang, Panpan Zhang, Jiacheng Dai, Shouceng Tian

Subjects: Get full text

Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging by Alexandra Koulouri, Ville Rimpiläinen

“…Unfortunately, unknown model parameters and imperfect forward models can still undermine the signal recovery. …”
Get full text

On The Pros and Cons of Using Excel for Regression Analysis by Sencer Buzrul

“…Excel has also some nonlinear models such as exponential and power models in it; however, Excel computes linear parameter estimates for those nonlinear models and again optimistic R2 is calculated. …”
Get full text

Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

“…Based on actual liquor production data, a Multi Kernel Support Vector Regression (MKSVR) prediction model is established using the Stacking model fusion method to improve the model’s generalization ability. …”
Get full text

Experimental study on the performance of concrete linear cutting by high pressure water jet by Lan Zhang, Jingyan Lu, Haitao Li, Bo Li

“…Finally, a prediction model for depth and width of groove was developed using the method of regression analysis, followed by validation of the precision and robustness of the model. …”
Get full text

Determination of the main factors of the gross regional product level by econometric modeling methods for the totality of regions of the Russian Federation by Yu. S. Ivchenko

Subjects: Get full text

Identification of Wiener Model with Internal Noise Using a Cubic Spline Approximation-Bayesian Composite Quantile Regression Algorithm by Tianhong Pan, Wei Guo, Ying Song, Fujia Yin

“…A cubic spline approximation-Bayesian composite quantile regression algorithm is proposed to estimate parameters and structure of the Wiener model with internal noise. …”
Get full text

Association of school leaders’ COVID-19 health literacy with the implementation of health promotion in schools in Germany: a cross-sectional study by Marlene Meyer, Kevin Dadaczynski, Melanie Messer, Orkan Okan

“…In some regression models, the sociodemographic factors age, sex, and school type were also significant factors. …”
Get full text

A study on reflective factors of social media marketing activities and its influence on purchase intention of gen z by Deepika K S, Ajay Massand

“…Hence, this study develops a model for measuring SMMA and validates the nomological model by verifying its influence on Purchase Intention. …”
Get full text

A Predictive Model of the Photosynthetic Rate of Chili Peppers Using Support Vector Regression and Environmental Multi-Factor Analysis by Bin Li, Bo Qiao, Qianyu Zhao, Dan Yang, Rongcheng Zhu, Zhexuan Wang, Yujie Yang

“…A linear fit between measured and predicted Pn values yielded a slope of 0.992 and an intercept of 0.07, indicating near-perfect agreement and surpassing the performance of the BP, RBF, and RF models. …”
Get full text

An optimization protocol for MRI examination resource allocation based on demand forecasting and linear programming by Zhongbin Zhou, Hanyu Zhou, Yuanyuan Qiao, Zihan Gao, Ying Yang

“…Integrating the ARIMAX model with the NARX model, an ARIMAX-NARX model had been constructed.The predictive accuracy of these models was then assessed and compared. …”
Get full text

Experimental Study on the Effect of Wind Speed on Hail Impacts by Yimin Dai, Yao Deng, Hao Luo, Yanwen Long

Get full text

Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach by Abdulwahab AL-Deib, Eshraq Alsherif, Husameddin Abuzgaia, Amel Rabti, Ruwaida Rtemi, Salem Elfard, Sheren Njaim

“…The glucose conversion models yielded precise transformations (Biolabo: Y = 1.01X−0.03357; BioScien: Y = 1.141X−13.71), while urea models showed robust consistency (Biolabo: Y = 0.9312X + 1.549; BioScien: Y = 0.7073X + 5.252). …”
Get full text

Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam by Long Ta Bui, Binh Quoc Pham, Tho Thi Be Cao

Get full text

Sickness absence rates in NHS England staff during the COVID-19 pandemic: Insights from multivariate regression and time series modelling. by Ewan McTaggart, Itamar Megiddo, John Bowers, Adam Kleczkowski

“…We then develop multivariate linear regression models to estimate COVID-19-related sickness absences. …”
Get full text