Development of an Optimal Machine Learning Model to Predict CO₂ Emissions at the Building Demolition Stage by Gi-Wook Cha, Choon-Wook Park

“…Systematic studies on the demolition stage, however, are still lacking. In this study, research on the development of optimal machine learning (ML) models was conducted to predict CO₂ emissions at the demolition stage. …”
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Development and validation of machine learning models for predicting blastocyst yield in IVF cycles by Wen-jie Huo, Fei Peng, Song Quan, Xiao-cong Wang

“…We employed three machine learning models—SVM, LightGBM, and XGBoost—which demonstrated comparable performance and outperformed traditional linear regression models (R 2: 0.673–0.676 vs. 0.587, Mean absolute error: 0.793–0.809 vs. 0.943). Ultimately, LightGBM emerged as the optimal model, due to utilizing fewer features (8 vs. 10–11 in SVM/XGBoost) and offering superior interpretability. …”
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Comparison of Nonlinear Models for Describing the Growth Curve of Pekin Ducks by Navid Ghavi Hossein‐Zadeh

“…The overall goodness‐of‐fit for each model to a variety of data profiles was determined through the application of the adjusted coefficient of determination, root mean square error, Akaike's information criterion and Bayesian information criterion. …”
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Assessing Climate Change Impacts on Cropland and Greenhouse Gas Emissions Using Remote Sensing and Machine Learning by Nehir Uyar, Azize Uyar

“…Specifically, GBT and RF achieved the highest R² value (0.71, 0.59) and the lowest error metrics in modeling emissions, whereas SVM performed poorly across all cases. …”
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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables by Sajjad Farashi, Hossein Emad Momtaz

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Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach by Omeed K. Khorsheed

“…In addition, the rate of connectivity error detection decreases by about 25%, highlighting the method’s effectiveness in dynamic network conditions. …”
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Wireless sensor network positioning technology based on improved sampling box and fuzzy reasoning by Ningyun Dan, Lun Zhao, Wenjin Pan, Yan Cai

“…When the proportion of beacon nodes reaches 40%, the average positioning error of the new model is as low as 0.21 m, which is lower than the comparison model. …”
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RISK MANAGEMENT STRATEGIES FOR MICROFINANCE BANKS IN NIGERIA: A CREDIT RISK FOCUS by Ehiogu Chizoba Perpetua, Kologa Inebimowei Freedom

“…Using advanced econometric techniques, including cointegration analysis and the Vector Error Correction Model (VECM), the findings reveal that Loan Loss Reserves and Collateralization significantly influence capital adequacy in the short term, while Credit Insurance demonstrates both short-term and long-term effects, making it an essential tool for sustained financial stability. …”
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Relationship between optical properties and internal quality of Orah Mandarins during storage by Guantian Wang, Yichen Luo, Yande Liu, Yuxu Huo, Aiguo Ouyang, Dazhou Zhu, Mingmao Hu

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Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data by Chenyan Lu, Cheng Su

“…In doing so, it not only recovers finer texture details to produce better visual effects than typical super-resolution methods, but also maintains the consistency of thermal radiation flux, with the error after applying the consistency constraint reduced by nearly tenfold, ensuring the applicability of the results for scientific research.…”
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A CHATBOT FOR POSTGRADUATE INFORMATION DISSEMINATION by Umar Emmanuel, Odulaja Godwin Oluwaseyi, Babatunde Akinbowale Nathanie

“…To curtail this lapses and to ensure timely delivery of information to users, this paper adopted mixed method research (i.e. design based approach and action research). …”
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Analytical Insight into Some Fractional Nonlinear Dynamical Systems Involving the Caputo Fractional Derivative Operator by Mashael M. AlBaidani

“…The proposed method demonstrates its precision through tabular simulations of computed approximations and their absolute error values while representing results with 2D and 3D graphics. …”
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A Systematic Review of Accessibility Techniques for Online Platforms: Current Trends and Challenges by Valentin Bercaru, Nirvana Popescu

“…Our findings indicate that while speech and voice technologies have achieved good accuracies and low word error rates, further research is needed to improve the accuracy and usability of sign language recognition systems, especially for continuous sign language recognition, as they have low accuracy. …”
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Intelligent long jump evaluation system integrating blazepose human pose assessment algorithm in higher education sports teaching by Tao Wang

“…To address these issues, this research first divides the long jump process into the approach run and mid-air phases. …”
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Taxonomic and Thematic Organisation of Proper Name Conceptual Knowledge by Sebastian J. Crutch, Elizabeth K. Warrington

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Effect of corporate voluntary disclosure on corporate performance: Evidence from a transitional economy by Mofijul Hoq Masum, Sarkar James Bakul, Hassan Nazmul

“…The study employs the short panel data, fixed model regression, and Panel Corrected Standard Error (PCSE). The analysis indicates that corporate voluntary disclosure has influenced the return on assets with a regression coefficient of 0.0724 at p ≤ 0.01. …”
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Reliability and validity of OpenPose for measuring HKA angle in dynamic walking videos in patients with knee osteoarthritis by Fanghong Ge, Changjiang Wu, Fangjun Ge, Shenghao Xu, Jianlin Xiao

“…Compared with radiography, the pose estimation method exhibited a fixed error of 0.131°. This is the first study to examine the feasibility of measuring the HKA angle from frontal-view videos of patients walking normally by using the pose estimation method. …”
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Name Entity Recognition Tasks: Technologies and Tools by Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky

“…The main problems are the lack of datasets in open access, high requirements for computing resources, the lack of error analysis. A promising area of research in NER is the development of methods based on unsupervised techniques or rule-base learning. …”
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Data-driven ship trajectory tracking control method by Yong XIONG, Siwen ZHOU, XianFei WANG, Zhiyuan LYU

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Electromagnetic scattering from random rough surface using higher-order GTD-RT numerical technique for optical wireless communications by Asmaa E. Farahat, Khalid F. A. Hussein

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