Modelo de distribución potencial de Leucaena leucocephala y Acacia farnesiana para el Noreste de México by David Gilberto López-Cantú, Aracely Maldonado-Torres, Elizabeth Crespo-Reyes, Glenda Nelly Requena-Lara, Juan Francisco Morales Pacheco, Jonathan Raúl Garay Martínez

“…The ecological niche models were developed with the maximum entropy algorithm of the Maxent software, the value of the area under the curve was used, using the Tool for Partial-ROC program and the Jackknife method was used to estimate the relative contribution of each climate variable. …”
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Primary posterior capsulorexis: historical aspects and the current state of the issue by E.V. Egorova, A.O. Direev

“…However, some studies have shown the possibility of partial or complete «closure» of the capsulorexis area by proliferating epithelial cells of the lens (ECL) in adult patients. …”
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Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy by Chenlong Fan, Ying Liu, Tao Cui, Mengmeng Qiao, Yang Yu, Weijun Xie, Yuping Huang

“…Feature wavelengths were selected to enhance model accuracy further using the Successive Projections Algorithm (SPA) and Uninformative Variable Elimination (UVE). …”
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Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Hammad Alotaibi, Ahmed Refaie Ali

“…The finite element method is employed as a computational technique to address complex nonlinear governing equations. The nonlinear partial differential equations are spatially discretized with the finite element method, while temporal derivatives are addressed using a backward implicit Euler scheme. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

“…This may be addressed by developing an identification algorithm for adult weevils. Here we present results that show improved machine learning models can identify adult vine weevils under laboratory and semi-field conditions. …”
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A New and Improved Sliding Mode Control Design Based on a Grey Linear Regression Model and Its Application in Pure Sine Wave Inverters for Photovoltaic Energy Conversion Systems by En-Chih Chang, Yeong-Jeu Sun, Chun-An Cheng

“…A traditional maximum power point tracking (MPPT) algorithm in such a case misclassifies and fail to locate the global extremes. …”
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Quantifying the impacts of volume-based procurement policy on spatial accessibility of antidepressants via generic substitution: A four-city cohort study using drug sales data. by Aoming Xue, Qingyuan Xue, Jiahong Fu, Keye Fan, Jiale Zhang, Peiyan Cai, Yuanyuan Kuang, Yingsong Chen, Jifang Zhou, Bin Jiang

“…<h4>Methods</h4>The least-cost-path algorithm was employed to calculate travel time from each population point to the nearest medical institution. …”
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Rapid and Simultaneous Prediction of Eight Diesel Quality Parameters through ATR-FTIR Analysis by Maurilio Gustavo Nespeca, Rafael Rodrigues Hatanaka, Danilo Luiz Flumignan, José Eduardo de Oliveira

“…Likewise, four variable selection approaches were tested: manual exclusion, forward interval PLS (FiPLS), backward interval PLS (BiPLS), and genetic algorithm (GA). The multivariate filters and variables selection algorithms generated more fitted and accurate PLS models. …”
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Metabolomic analysis in severe childhood pneumonia in the Gambia, West Africa: findings from a pilot study. by Evagelia C Laiakis, Gerard A J Morris, Albert J Fornace, Stephen R C Howie

“…The dataset was additionally analyzed with the machine-learning algorithm RF in order to address issues of model overfitting and markers were selected based on their variable importance ranking. …”
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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

“…The optimal coordinated EVCS construction strategy is obtained using the NSGA-II algorithm. Finally, this framework was employed in Shenzhen and Shanwei for empirical analysis, confirming its feasibility and accuracy.…”
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Machine learning approach for Studying the multifunctionality of soil against global climate changes by Xiangng Hu, Yingying Xie, Qixing Zhou, Li Mu

“…EMF data from 790 sampling points worldwide were analyzed using a random forest algorithm with SHAP analysis, partial dependence analysis and structural equation modeling to elucidate driving mechanisms of soil EMF under global change and to forecast the global distribution of soil EMF. …”
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Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spec... by Haiyan Fu, Yao Fan, Xu Zhang, Hanyue Lan, Tianming Yang, Mei Shao, Sihan Li

“…In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information of Hibiscus mutabilis L. and Berberidis radix, two common kinds of herbal medicines. …”
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STRATEGICITY AS A BASIC PRINCIPLE OF PROFESSIONAL AND PEDAGOGICAL ACTIVITY by Olha O. Lilik

“…It was found that strategies for solving professional problems within pedagogical activities are divided into algorithmic and heuristic. The algorithmic strategy is based on a certain algorithm as a set of rules that provide a single correct solution. …”
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Detection of soluble solid content in table grapes during storage based on visible-near-infrared spectroscopy by Yuan Su, Ke He, Wenzheng Liu, Jin Li, Keying Hou, Shengyun Lv, Xiaowei He

“…The partial least squares regression (PLSR), and support vector regression (SVR) algorithms were adopted to establish a predictive model. …”
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Study on Outdoor Spectral Inversion of Winter Jujube Based on BPDF Models by Yabei Di, Jinlong Yu, Huaping Luo, Huaiyu Liu, Lei Kang, Yuesen Tong

“…The quality prediction models are subsequently combined with the competitive adaptive reweighting algorithm (CARS) and partial least squares (PLS). The results showed that the modified spectra significantly optimized the prediction performance. …”
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Comparing the Potential of Near- and Mid-Infrared Spectroscopy in Determining the Freshness of Strawberry Powder from Freshly Available and Stored Strawberry by Da Wang, Wenwen Wei, Yanhua Lai, Xiangzheng Yang, Shaojia Li, Lianwen Jia, Di Wu

“…Optimal variables were selected by successive projections algorithm (SPA), uninformation variable elimination, and competitive adaptive reweighted sampling, respectively. …”
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Multiple solutions to the static forward free–boundary Grad–Shafranov problem on MAST-U by K. Pentland, N.C. Amorisco, P.E. Farrell, C.J. Ham

“…The Grad–Shafranov (GS) equation is a nonlinear elliptic partial differential equation that governs the ideal magnetohydrodynamic equilibrium of a tokamak plasma. …”
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Multi-Feature Fusion for Estimating Above-Ground Biomass of Potato by UAV Remote Sensing by Guolan Xian, Jiangang Liu, Yongxin Lin, Shuang Li, Chunsong Bian

“…Six advanced modeling algorithms, including random forest (RF), partial least squares regression (PLSR), multiple linear regression (MLR), simple linear regression (SLR), ridge regression (RR), and lasso regression (LR) models, were adopted to evaluate the ability of estimating AGB by single feature and multi-feature information fusion. …”
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Fatty Acids of European Sardine (<i>Sardina pilchardus</i>) White Muscle Can Discriminate Geographic Origin Along the Iberian Atlantic Coast by Ricardo Calado, Marcos Palma, Maria Rosário Domingues, Fernando Ricardo, Felisa Rey

“…While 35 FAs were identified using gas chromatography–mass spectrometry in the white muscle of <i>S. pilchardus</i>, the following, as determined by the Boruta algorithm, were key for sample discrimination: 14:0, 22:6<i>n</i>-3, 22:5<i>n</i>-3, 18:0, 20:5<i>n</i>-3, 16:1<i>n</i>-7, 16:0, and 18:1<i>n</i>-7 (in increasing order of relevance). …”
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Clinical decision support system based on artificial intelligence for adjusting insulin pump parameters in children with type 1 diabetes mellitus by D. Yu. Sorokin, E. S. Trufanova, O. Yu. Rebrova, O. B. Bezlepkina, D. N. Laptev

“…We constructed recurrent neural network (RNN) to predict glucose concentration for 30-120 minutes, an algorithm for optimizing IP settings using prediction results. …”
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