Nesting population trend of the leatherback sea turtle in Bocas del Toro province and Comarca Ngäbe-Buglé, Panama for the period 2002–2022 by Sonia Gutiérrez Parejo, Susan E. Piacenza, Raúl García, Cristina Ordóñez, Roldán A. Valverde

“…We used the Information-Theoretic approach for model selection, based on Akaike’s Information Criterion correction for small sample sizes, using linear regression to assess population trends and discrete rate of population growth (λ). …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…Through meticulous data acquisition, preprocessing, model selection, and evaluation, we demonstrate the effectiveness of these techniques in accurately identifying land cover classes. …”
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Distribution of Airway Findings in ANCA-Associated Vasculitis: A 20-Year Observational Analysis by Megan M. Sullivan, Maximiliano Diaz Menindez, Hassan Baig, Anushka Irani, Ronald Butendieck, Benjamin Wang, Florentina Berianu, Carolyn Mead-Harvey, Andy Abril, Vikas Majithia

“…Maximum likelihood estimation with 10 repetitions per model ensured robustness in model selection, guided by the Akaike information criterion (AIC). …”
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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

“…The methodology for creating a machine learning model includes defining the goals and objectives of the model, selecting an appropriate learning algorithm (in this case, neural networks), collecting and preparing a data set, tuning the model, and testing on a test data set. …”
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The Use of Partial Least Square Regression and Spectral Data in UV-Visible Region for Quantification of Adulteration in Indonesian Palm Civet Coffee by Diding Suhandy, Meinilwita Yulia

“…Several preprocessing methods were tested and the results show that most of the preprocessing spectra were effective in improving the quality of calibration models with the best PLS calibration model selected for Savitzky-Golay smoothing spectra which had the lowest RMSECV (0.039) and highest RPDcal value (4.64). …”
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Examining the influence of knowledge transfer and dynamic capabilities on enterprise digital transformation. by Xiaofang Xiong

“…Knowledge is vital for developing new business models, selecting appropriate digital technologies, and strategizing their use; knowledge transfer is a central component of this transformation. …”
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Entrepreneurial determinants of Moroccan business failure: entrepreneurial behaviors and attitudes by Youssef Zizi, Amine Jamali-Alaoui, Badreddine El Goumi

“…Applying variable selection techniques and models selection criteria, such as AIC and BIC, the main results indicate that the model composed of variables related to entrepreneurial behavior and attitudes variables, specifically fear of failure rate, perceived capabilities rate, and perceived opportunities rate, better explains bankruptcy rate. …”
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Description-based Post-hoc Explanation for Twitter List Recommendations by Havva Alizadeh Noughabi, Behshid Behkamal, Mohsen Kahani

“…In this paper, we propose an explanation model to provide relevant and informative explanations for recommended Lists by automatically generating descriptions for Twitter Lists. The model selects the most informative tweets from a List as its description to inform users more with the recommended List that positively contributes to the user experience. …”
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Comparative Analysis of Carbon Density Simulation Methods in Grassland Ecosystems: A Case Study from Gansu Province, China by Luyao Wu, Jiaqiang Du, Xinying Liu, Lijuan Li, Xiaoqian Zhu, Xiya Chen, Yue Gong, Yushuo Li

“…In contrast, the MGWR model is best suited for BGBC, with an <i>R</i>² value of 0.73. (2) The stratified estimation results suggest that the optimal inversion models for AGBC and BGBC are predominantly the MGWR and RF models selected through the recursive feature elimination algorithm. …”
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NOx, Soot, and Fuel Consumption Predictions under Transient Operating Cycle for Common Rail High Power Density Diesel Engines by N. H. Walke, M. R. Nandgaonkar, N. V. Marathe

“…Hence, in this work, a 0D comprehensive predictive model has been formulated with selection and coupling of appropriate combustion and emissions models to engine cycle models. Selected combustion and emissions models are further modified to improve their prediction accuracy in the full operating zone. …”
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The Construction of Corporate Financial Management Risk Model Based on XGBoost Algorithm by Rongyuan Qin

“…The research results show that the XGBoost model selected in this paper has high reliability in predicting the financial risk assessment of enterprises, and the prediction errors are all within 3%. …”
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Sensitivity Evaluation of AP1000 Nuclear Power Plant Best Estimation Model by Hao Shi, Qi Cai, Yuqing Chen

“…Based on the best estimate thermal-hydraulic system code RELAP5/MOD3.2, sensitivity analysis has been performed on core partition methods, parameters, and model selections in AP1000 Nuclear Power Plant, like the core channel number, pressurizer node number, feedwater temperature, and so forth. …”
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A Comparative CFD Study on Simulating Flameless Oxy-Fuel Combustion in a Pilot-Scale Furnace by Mersedeh Ghadamgahi, Patrik Ölund, Tomas Ekman, Nils Andersson, Pär Jönsson

“…This provides a recommendation for model selections in further studies on flameless oxy-fuel combustion.…”
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Impact du changement climatique sur les températures journalières minimales et maximales et les précipitations de la région de Tanger (nord-ouest du Maroc) quantifié à partir d’une... by Nabil Rifai, Abdellatif Khattabi, Laila Rhazi

“…The data used for evaluation were large-scale atmospheric data encompassing daily NCEP reanalysis data and the daily mean climate model results for scenarios A2 and B2 of the HadCM3 model and scenario A2 of the MCCG3 model. Selected as climate variables for downscaling were measured daily maximum temperature, daily minimum temperature, and precipitation data (1961 - 2000) from the weather station of Tangier. …”
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Methods of Bank Valuation in the Age of Globalization by A. Karminsky, E. Frolova

“…The paper identifies five main factors that significantly influence valuation models selection and building: funding, liquidity, risks, exogenous factors and the capital cushion. …”
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Comparison of blockchain vs. centralised IT infrastructure costs for food traceability: a Thai broiler supply chain case study by Suchit Pongnumkul, Patcharawadee Ittipornpaisarn, Suporn Pongnumkul

“…We analysed both centralised and blockchain IT models, selecting 13 deployment scenarios for comparison. …”
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Geometrical Distances of Extragalactic Binaries through Spectroastrometry by Yu-Yang Songsheng, Jian-Min Wang, Yuan Cao, XueFei Chen, JianPing Xiong, Zhi-Xiang Zhang, Rong-Gen Cai

“…As a geometric method based on the simplest dynamics, it is independent of empirical calibration, and the systematics caused by model selections can be tested using nearby binaries with known distances. …”
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An optimization approach for improving steam production of heat recovery steam generator by Awsan Mohammed, Moath Al-Mansour, Ahmed M. Ghaithan, Adel Alshibani

“…The results also showed that the proposed model selects and provides the optimal HRSG parameter values to maximize steam production within the relevant defined constraints.…”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The XGBoost-based model, selected mainly for allowing an in-depth analysis of feature contributions by considerably reducing the complexity of calculations, demonstrated strong performance in HAR. …”
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Computer‐Aided High Tibial Osteotomy—A Comparative Study of Commonly Used 3D Printing Technology and Navigation Application by Elvis Chun‐Sing Chui, Kyle Ka‐Kwan Mak, Randy Hin‐Ting Ng, Ericsson Chun‐Hai Fung, Mei‐Shuen Chan, Kai Yue, Lawrence Chun‐Man Lau, Clifford Long‐Fung Chan, Edmond Wing‐Fung Yau, Wei Zhao, Xiuyun Su, Jin Zhang, Jianglong Xu, Hongxun Sang, Guoxian Pei, Louis Wing‐Hoi Cheung, Sheung‐Wai Law, Michael Tim‐Yun Ong, Patrick Shu‐Hang Yung

“…This study compared different 3D printing techniques (fused deposition modeling, selective laser sintering, and direct metal laser sintering) and a navigation system for their suitability in assisting HTO surgeries. …”
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