Modeling and Experimental Study of The Vibration Effects in Urban Free-Space Optical Communication Systems by Wenqi Cai, Ibrahima N'Doye, Boon S. Ooi, Mohamed-Slim Alouini, Taous Meriem Laleg-Kirati

“…In this paper, we develop a dedicated indoor vibration platform and atmospheric turbulence to estimate the Bifurcated-Gaussian (B-G) distribution model of the receiver optical power under different vibration levels and link distances using nonlinear iteration method. Mean square error (MSE) and coefficient of determination (<inline-formula><tex-math notation="LaTeX">$R^2$</tex-math></inline-formula>) metrics have been used to show a good agreement between the PDFs of the experimental data with the resulting B-G distribution model. …”
Get full text

Inversion and Validation of Ocean Surface Bio-optical Parameters Using Multiplatform Ocean LiDAR by Fan YANG, Hongwei ZHANG, Ziwang LI, Peizhi ZHU, Fanqian MENG, Junwu TANG, Bingyi LIU, Songhua WU

“…The derived vertical profiles of chlorophyll-a concentration showed strong agreement with in-situ measurements, with a coefficient of determination (R2) of 0.84 and an average root mean square error of 0.14 μg·L–1. …”
Get full text

A semi‐automated observation approach to quantify mouse skeletal muscle differentiation using immunohistochemistry by Kenta Shimizu, Yamato Yoshida, Kenshin Iwasa, Yasuyuki Fujii, Ursula M. Jacob, Tilman Fritsch, Ali S. Abdelhameed, Vittorio Calabrese, Naomi Osakabe

“…Correlation between manual and semi‐automated analysis showed a coefficient of determination of 0.7132, indicating a significant reduction in analysis time by approximately 20 times. …”
Get full text

Machine Learning-Based Indirect Tip Force Sensing and Estimation for Robotic Uterine Manipulation System by Songphon Namkhun, Apiwat Boonkong, Piroon Kaewfoongrungsi, Kovit Khampitak, Daranee Hormdee

“…Three regression models&#x2014;Extreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM) networks, and Support Vector Regression (SVR)&#x2014;were evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the Coefficient of Determination <inline-formula> <tex-math notation="LaTeX">$(\text {R}^{2})$ </tex-math></inline-formula>. …”
Get full text

Different Statistical Modeling to Predict Compressive Strength of High-Strength Concrete Modified with Palm Oil Fuel Ash by Soran Abdrahman Ahmad, Bilal Kamal Mohammed, Serwan Khwrshid Rafiq, Brwa Hama Saeed Hamah Ali, Kawa Omer Fqi

“…The performance of each proposed model was gauged using diverse statistical metrics like the coefficient of determination, mean absolute error, root mean square error, and scatter index to identify the most effective model. …”
Get full text

Comparison of feasibility and effectiveness of tunneled dialysis catheter placement with or without DSA guidance: a propensity score-matched cohort study by Yiwei Shang, Shujun Pan, Chen Jin, Danna Zheng, Xiujun Xu, Bin Zhu, Li Zhao, Juan Jin, Qiang He, Xiaogang Shen

“…Dialysis prescriptions and actual dialysis completion were assessed using intraclass correlation coefficients (ICC). Multivariable logistic regression analyses determined the risk factors for early termination of dialysis. …”
Get full text

Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…Applied to futures market price difference prediction, experimental results demonstrate that ICS-SNN achieves reductions of 13.82% in MAE, 21.27% in MSE, and 15.21% in MAPE, while improving the coefficient of determination (R²) from 0.9790 to 0.9822, compared to the baseline SNN. …”
Get full text

Influence of Overlying Caprock on Coalbed Methane Migration in the Xutuan Coal Mine, Huaibei Coalfield, China: A Conceptional Analysis on Caprock Sealability by Kaizhong Zhang, Qingquan Liu, Kan Jin, Liang Wang, Yuanping Cheng, Qingyi Tu

“…Also, the diffusion coefficient and permeability of Redbed and loose bed are proved to be a little different than those of sandstone but are much higher than those of mudstone and siltstone. …”
Get full text

Limited data based kinetic modeling and optimization of propionic acid synthesis over supported Rh/C catalyst by László Balogh, Jenő Bódis, Botond Szilágyi, Ágnes Bárkányi, Attila Egedy

“…Yet, using the apriori knowledge about the process (i.e., the microkinetics of the reactions), the data enabled the kinetic model identification, resulting in a fitting on the measured outputs characterized by a coefficient of determination of 0.76. The operating parameters were optimized by using this model to enhance the energy and material efficiency of the process. …”
Get full text

Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…After vegetation suppression, the coefficient of determination (R²) exceeded 0.8 for all soil layers, while the mean absolute error (MAE) decreased by 35.1% to 49.8%. …”
Get full text

Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation by Seung-Jun Kim, Moon-Kyeong Jang, Seok-Joon Hwang, Won Suk Lee, Ju-Seok Nam

“…The model’s accuracy was analyzed using the coefficient of determination (R²) and root mean square error (RMSE), and it was compared with the ASABE’s fuel consumption prediction model. …”
Get full text

TRENDS IN AVERAGE ANNUAL FOOD CONSUMPTION PER INHABITANT IN ROMANIA by Agatha POPESCU, Irina CHIRCIU, Elena SOARE, Paula STOICEA, Adina IORGA

“…Fixed basis index, growth rate, regression equation, coefficient of determination, graphical method and comparisons were the main procedures used to process. …”
Get full text

The pharmacokinetic-nephrotoxicity relationships of CMS and CMS-E2 from the perspective of plasma and kidney drug concentrations in rats by Chenxue Guo, Lin Xi, Xingyi Qu, Zhiwei Huang, Size Li, Wanzhen Li, Xiaofen Liu, Jing Zhang

“…Rats were treated intraperitoneally with a single dose of saline, CMS [10, 20 mg/kg of colistin base activity (CBA)], and CMS-E2 (20, 40 mg/kg CBA). An LC-MS/MS method was developed to determine plasma and renal tissue concentrations of CMS/CMS-E2 and colistin/colistin B. …”
Get full text

EXPERIMENTAL STUDY OF LOCAL HYDRODYNAMICS AND MASS EXCHANGE PROCESSES OF COOLANT IN FUEL ASSEMBLIES OF PRESSURIZED WATER REACTORS by S. M. Dmitriev, A. A. Barinov, A. N. Pronin, V. D. Sorokin, A. E. Khrobostov

“…The investigation of mass exchange processes consisted of a study of concentration distribution for tracer in experimental model, in determination of attenuation lengths of mass transfer processes behind mixing grids, in calculating of inter-cellar mass exchange coefficient. …”
Get full text

Rapid Quantitative Detection of Dye Concentration in Pt/TiO₂ Photocatalytic System Based on RGB Sensing by Cuiyan Han, Ziao Wang, Jiahong Cui, Shuqi Liu, Liu Yang, Yang Fu, Baolin Zhu, Cheng Guo

“…The RGB-based PLS model achieved a coefficient of determination (R²) of 0.961 for the prediction set. …”
Get full text

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

“…Using 42 major earthquake events in China from 1970 to 2025 as a case study, covering regions including the west (e.g., Tonghai in Yunnan, Wenchuan, Jiuzhaigou), central (e.g., Lushan in Sichuan, Ya’an), east (e.g., Tangshan, Yingkou), north (e.g., Baotou in Inner Mongolia, Helinger), northwest (e.g., Jiashi in Xinjiang, Wushi, Yongdeng in Gansu), and southwest (e.g., Lancang in Yunnan, Lijiang, Ludian), the empirical results showed that the PCA-IWOA-XGBoost model achieved an average test set accuracy of 97.0%, a coefficient of determination (<i>R</i>²) of 0.996, a root mean square error (<i>RMSE</i>) and mean absolute error (<i>MAE</i>) reduced to 4.410 and 3.430, respectively, and a residual prediction deviation (<i>RPD</i>) of 21.090. …”
Get full text

PREDICTION OF LIVE WEIGHT THROUGH MORPHOMETRIC VARIABLES IN GOATS FROM BAJA CALIFORNIA SUR, MEXICO by Raul Avalos Castro, Jose Denis Osuna Amador, Noe Medina Cordova, Carlos Cabada Tavares, Jose C. Segura Correa

“…The inclusion of the three morphometric variables in the model only improved the coefficient of determination by 1 % (R2 adjusted = 0.99). …”
Get full text

Estimation for Reduction Potential Evaluation of CO₂ Emissions from Individual Private Passenger Cars Using Telematics by Masahiro Mae, Ziyang Wang, Shoma Nishimura, Ryuji Matsuhashi

“…CO₂ emissions from individual private passenger cars in 24 car models are estimated by the machine learning model based on random forest regression using data from telematics, and the coefficient of determination for all 24 car models is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi mathvariant="normal">R</mi><mn>2</mn></msup><mo>=</mo><mn>0.981</mn></mrow></semantics></math></inline-formula>. …”
Get full text

Development of machine learning-based standalone GUI application for predicting hydraulic conductivity and compaction parameters of lateritic soils by Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale

“…The models’ performance was compared using coefficient of determination (R2), root mean squared error (RMSE), mean absolute percentage error (MAPE) and mean absolute error (MAE). …”
Get full text

Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
Get full text