Single-Valued Neutrosophic ExpTODIM Technique for Quality Evaluation of MPPT Controller Design for Photovoltaic Systems by Xiaobin Zheng, Guiqing Chen, Shita Huang, Lunsen Zou

“…Single-valued neutrosophic sets (SVNSs) are employed as a decision-making tool to represent fuzzy data during the quality evaluation process of MPPT controller design in photovoltaic systems. …”
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A condition diagnosis method for subway track structures employing distributed optical fiber sensing by Hong Han, Xiaopei Cai, Liang Gao

“…First, a method for constructing a correlation model for strain monitoring data based on the optimal space window is proposed to realize the division of measuring points to reduce the computational complexity, and then, the deep generative adversarial network model with residual learning is constructed. …”
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Robotic Process Automation-Based Functional Test Automation of High-Speed Analog-to-Digital Converter Customer Evaluation Boards by Ace Dominic Alcid, Glenn Magwili

“…The system integrates RPA with existing testing hardware for high-speed analog-to-digital converter (ADC) evaluation boards to simplify processes of configuration, data logging, and the analysis of key parameters such as the signal-to-noise ratio full scale (SNRFS) and spurious-free dynamic range (SFDR). …”
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Optimizing Photovoltaic Power Prediction Using Computational Methods and Artificial Neural Networks by Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, Siti Amely Jumaat, Noor Syahirah Ahmad Safawi

“…Direct data input is obtained through a photovoltaic solar panel at Universiti Tun Hussein Onn Malaysia (UTHM). …”
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The Impact of Climatic and Environmental Factors on the Frequency of Natural Disasters in the Insurance Sector in G7 Countries by Serap Yörübulut

“…In this study, the effects of temperature, precipitation, greenhouse gas emissions and load capacity factor (LCF), which is one of the environmental sustainability indices, on the frequency of natural disasters occurring in G7 countries between 1989-2022 were evaluated by panel data analysis method. The findings obtained show that increasing greenhouse gas emissions, precipitation and temperature due to climate change increase the number of natural disasters, while the decrease in the LCF factor increases the number of natural disasters. …”
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Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model by Bo Du, Steven Chien, Joyoung Lee, Lazar Spasovic

“…A comparative analysis was conducted, and results indicate that the proposed model outperforms others in terms of the least root mean square error (RMSE). …”
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Utilizing Soft Computing Techniques to Estimate the Axial Permanent Deformation of Asphalt Concrete by Amjad H. Albayati, Yazeed S. Jweihan, Mazen J. Al-Kheetan

“…Twelve independent variables representing the materials’ properties, mix design parameters, loading settings, and environmental conditions were implemented in the model, resulting in a total of 3214 data points. The network accomplished high prediction accuracy with an R² of 0.93 and a mean squared error (MSE) of 0.0039. …”
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Does the relative size of agricultural exports matter for sustainable development? Evidence from Sub-Sahara Africa by Taofeekat Temitope Nofiu, Rashidat Sumbola Akande, Hauwah K.K. Abdulkareem, Sodiq Olaiwola Jimoh

“…This study investigates the effect of the relative size of agricultural exports on sustainable development across 46 sub-Saharan African countries between 1999 and 2020. Using data on adjusted net savings and sustainable development indices as proxies for sustainable development, the empirical analysis applies the Driscoll-Kraay standard error method which accounts for cross-sectional dependence. …”
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A Model Based on Neural Network to Predict Surface Settlement During Subway Station Construction: A Case Study of the Dongba-Zhongjie Station in Beijing, China by Jiaqi Zhang, Hua Jiang, Jinsen Wang, Jili Feng

“…To overcome challenges such as missing on-site settlement data and a limited number of monitoring points, this study proposes a composite prediction model that integrates finite element analysis, a time-series interval GA-BP neural network, and variational mode decomposition (VMD) techniques. …”
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Prediction of SDG 6.2 Achievement in Indonesia Using Double Exponential Smoothing by Nazwa Nabila, Adhitia Erfina, Cecep Warman

“…The Double Exponential Smoothing (DES) method was used on provincial time series data from 2013–2024 (sanitation) and 2020–2024 (OD), with performance evaluated using Mean Absolute Percentage Error (MAPE). …”
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Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…This pipeline provides a robust, high-throughput solution for whole-brain neuronal reconstruction and represents a step forward in automated neuroscientific analysis.…”
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Application of Deep Learning in Element Logging by GE Yunlong, YUE Aizhong, SONG Sen, ZHANG Lei, LUO Qingfeng, HE Xuxin

“…Based on the conventional spectral analysis method, the calculation error of element dry weight is large. …”
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Pioneering machine learning techniques to estimate thermal conductivity of carbon-based phase change materials: A comprehensive modeling framework by Raouf Hassan, Alireza Baghban

“…Among them, CatBoost achieved the highest predictive performance with an R2 of 0.979 and the lowest mean squared error (MSE) of 0.006 on the test set. SHAP analysis revealed that nanoparticle concentration was the most influential feature. …”
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Abamectin poisoning in adult beef cattle and calves in northern and midwestern Brazil by Leandro S. Rocha, Bethania S. Santos, Maryele Rodrigues, João P.S. Cavasani, Flávio H.B. Caldeira, Fernando H. Furlan, Edson M. Colodel

“…Clinical and epidemiological data on the affected herd were collected from the owners, employees, and veterinarians of the properties. …”
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Application of Integer Response Optimization Models for the Healthcare Resources by Abdulkadir Atalan

“…This study investigated the relationship between the number of hospitals and healthcare professionals in the Turkish healthcare system. The study data covers the years 1967-2018. In the study, statistical analysis was performed, and the integer response optimization models were created using the linear regression response optimization models. …”
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Influence of Synchronization Signal Inaccuracy on DVB-T2 Local Content Insertion by O. V. Kuharskaya, E. Z. Savin

“…Some settings of digital information stream are set as the initial data. The first part of the article specifies network delay calculation method. …”
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Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration by Monire Sheikh Hosseini, Hossein Rabbani

“…Conclusion: The nonrigid fuzzy image registration approach demonstrates robust and versatile performance in integrating multimodal retinal imaging data. Despite its straightforward implementation, the method effectively addresses the challenges of multimodal retinal image registration, providing a reliable tool for advanced ocular imaging analysis.…”
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Artificial Intelligence in Quantum Communications: A Comprehensive Survey by Istiak Mahmud, Ahmed Abdelhadi

“…The integration of Artificial Intelligence (AI) into the field of quantum communication has emerged in recent years as a promising avenue for enhancing secure data transmission, error correction, and scalability in quantum networks. …”
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Measuring the connectedness of the Nigerian banking network and its implications for systemic risk by Miriam Kamah, Joshua Riti

“…The paper studies both the static and dynamic network connectedness of banks built on the generalized forecast error variance decomposition, using daily data from January 4, 2005, to June 28, 2019, of publicly traded banks. …”
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Modeling the Steady-State Effects of Mean Arterial Pressure on the Kidneys by Benjamin J. Czerwin, Sandip Patel, Caitlyn M. Chiofolo, Jiayao Yuan, Nicolas W. Chbat

“…Further, GFR was validated against intensive care patient data (root mean squared error (RMSE) 13.5 mL/min) and against hypertensive patients receiving sodium nitroprusside (SNP) (RMSE less than 5 mL/min). …”
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