Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex by Zili Gao, Yuzhen Zhang, Laura C. Harrington, Courtney C. Murdock, Elisabeth Martin, Dalton Manbeck-Mosig, Steve Vetrone, Nicolas Tremblay, Christopher M. Barker, John M. Clark, Lili He, Wei Zhu

“…However, traditional methods, such as tracheole morphology analysis, are labor-intensive and have limited scalability. …”
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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…To ensure that shield tunneling closely aligns with the designed alignment and to improve engineering construction quality, this study proposes a novel shield attitude prediction model, called WM-CTA, based on deep learning technology. [Methods] The WM-CTA model primarily consists of two frameworks: a data preprocessing module (Wavelet Transform and Maximum Information Coefficient) and a prediction module (Convolutional Neural Network and Attention Mechanism). …”
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Modeling transmission dynamics and socio-economic determinants of scarlet fever in Chengdu, China: An integrated SEIAR and machine learning approach by Tianlong Yang, Xunbo Du, Junfan Li, Tin Zhang, Yao Wang, Liang Wang

“…The model was evaluated using the coefficient of determination (R²), and sensitivity analysis confirmed its robustness. …”
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Determination of Natural Capsaicin, Dihydrocapsaicin and Synthetic Capsaicin in Hot Pepper and Its Products by QuEChERS Combined with HPLC by CHENG Luyao, WEN Yajun, SHI Wenting, ZHOU Ziying, MA Liyan

“…A QuEChERS combined with high performance liquid chromatography (HPLC) method was developed for the rapid determination of natural capsaicin, dihydrocapsaicin and synthetic capsaicin in hot pepper and its products. …”
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Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods by M. Timur Cihan

“…According to the evaluation metrics, such as the correlation coefficient, root mean squared error, and mean absolute error, the fuzzy logic method makes better predictions than any other regression method. …”
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Derivative Spectrophotometric Methods for the Analysis and Stability Studies of Colistin Sulphate by Mohammed Mutasim Elimam, Shaza Wagiealla Shantier, Elrasheed Ahmed Gadkariem, Magdi Awadalla Mohamed

“…Simple spectrophotometric methods were developed for the quantitative determination of colistin sulphate in bulk and dosage forms. …”
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Springback Prediction of Sandwich Panel Using Machine Learning Methods by Raja Ouled Ahmed Ben Ali, Sami Chatti

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Spectrophotometric Methods for the Assay of Pyrilamine Maleate Using Chromogenic Reagents by V. Annapurna, G. Jyothi, V. Nagalakshmi, B. B. V. Sailaja

“…The optical characteristics such as Beers law limits, molar absorptivity and Sandell’s sensitivity for the methods (A-C) are given. Regression analysis using the method of least squares was made to evaluate the slope (b), intercept (a) and correlation coefficient (r) and standard error of estimation (Se) for each system. …”
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Proposal of automated computational method to support Virginia tobacco classification by Leonel P. C. Tedesco, Adriano da C. de Freitas, Rolf F. Molz, Jacques N. C. Schreiber

“…It can be verified that the ANN obtained better prediction results. Both methods employed had better results when adopting the RGB color model, reaching coefficient of determinations of 68 and 96% for the PLS and ANN methods, respectively.…”
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Application of methods of system analysis for modeling the process of distance learning by S. Ya. Zhukovich

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Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil by Gustavo H. da Silva, Santos H. B. Dias, Lucas B. Ferreira, Jannaylton É. O. Santos, Fernando F. da Cunha

“…Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. …”
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Improved methods for predicting leaf area for (L. Vicia faba) by Arol M. A. WALY

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NOVEL FREE LABEL BOTULINUM APTASENSOR BASED ON CAPACITANCE METHOD by JAMAL RASHIDIANI, SAYED JAEFAR MOOSAVI, KHADIJEH ESKANDARI, FIROOZ EBRAHIMI

“…The electrodes were applied as indicator electrodes for capacitance determination of BoNT/A. Through this method, BoNT/A was detected in a concentration range from 0.16 to 0.68 ng·mL-1 with a correlation coefficient of 0.964 and detection limit of 0.09 ng·mL-1. …”
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Spectral Methods for Monitoring Transformer Equipment State of Paper Insulation by Kozlov V.K., Kurakina O.E., Sabitov A.H., Nigmatullina G. F., Salyakhutdinov R. A.

“…The purpose of the work is to develop new methods for determining the moisture content and the degree of polymerization of the paper in-sulation of a power transformer. …”
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Wheat crop producers’ technical efficiency and its determinants in Oromia region of Ethiopia: evidence from West Shewa zone by Melkamu Girma, Abule Mehare, Mengistu Ketema

“…The study employed a two-stage random sampling method to select 199 wheat-producing households during the 2018/19 production season. …”
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Comparison of methods for estimating leaf area in pornunça (Manihot sp.) by Mauricio L. de M. V. Leite, Geovane A. de Moura, Edvaldo A. de Moura, Leandro R. R. de Lucena, Aldo T. Sales, Everardo V. de S. B. Sampaio

“…Independent of the method of determination, the power models showed the best criteria of adequacy for estimating the leaf area of the pornunça. …”
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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…This paper proposes a new method based on the Gaussian Mixture Model (GMM): First, we use the GMM to decompose data samples of the same category to obtain Gaussian coefficients and take the product of the probability coefficient and the weight matrix as the feature matrix. …”
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Multilevel Analysis of Determinants of Anemia Prevalence among Children Aged 6–59 Months in Ethiopia: Classical and Bayesian Approaches by Kemal N. Kawo, Zeytu G. Asfaw, Negusse Yohannes

“…It was implemented by the Central Statistical Agency from 27 December 2010 through June 2011 and the sampling technique employed was multistage. Method. The statistical models that suit the hierarchical data such as variance components model, random intercept model, and random coefficients model were used to analyze the data. …”
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Development of Numerical Method for Optimizing Silicon Solar Cell Efficiency by E.В Chahid, M.В Fedaoui, M.В Nachaoui, N.R.В Chowdhury, A.В Malaoui

“…This paper presents a development of numerical method to determine and optimize the photocurrent densities in silicon solar cell. …”
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Modeling Soil Temperature with Fuzzy Logic and Supervised Learning Methods by Bilal Cemek, Yunus Kültürel, Emirhan Cemek, Erdem Küçüktopçu, Halis Simsek

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