Exchange Rate and Inflation Dynamics: Asymmetric Effects in a NARDL Framework by Saša Obradović

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Multiview 2D/3D image registration in minimally invasive pelvic surgery navigation by Fujiao Ju, Ya Wang, Jingxin Zhao, Mingjie Dong

“…The average fiducial registration error was reduced to 6 mm (less than 10 mm is considered successful) with a 96.67 $$\%$$ average registration success rate on DRRs. …”
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Sunrise in the Desert: Leveraging Big Data Analytics for Predictive Solar Energy Production in Saudi Arabia by Da'ad Albahdal, Maha Almousa, Wijdan Aljebreen, Aeshah A. Almutairi

“…This research addresses the critical need for accurate solar energy forecasting in Saudi Arabia’s renewable energy transition. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

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Smart Irrigation Manager: A Simple User-Friendly Software for Determining Irrigation Scheduling by Hassan M. Abd El Baki, Asad Sarwar Qureshi, Haruyuki Fujimaki

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Can linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-score. by Alessandro Cozzi-Lepri, Mattia C F Prosperi, Jesper Kjær, David Dunn, Roger Paredes, Caroline A Sabin, Jens D Lundgren, Andrew N Phillips, Deenan Pillay, EuroSIDA Study, United Kingdom CHIC/United Kingdom HDRD Study

“…We used the average square error (ASE) on a 10-fold cross-validation and on a test dataset (the EuroSIDA TCE database) to compare the performance of a newly derived lopinavir/r score with that of the 3 most widely used expert-based interpretation rules (ANRS, HIVDB and Rega). …”
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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna array is of great interest. …”
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Integrating agency and resource dependency theories: the moderating effect of board size on the relationship between dividends and firm value in Malaysia by Mohd Ashari Bakri, Nurjeehan Ayub, Haneffa Muchlis Gazali

“…The theoretical foundations of this research were the integration between agency and resources dependency theories. …”
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A comparative study of deep reinforcement learning for crop production management by Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li

“…Specifically, reinforcement learning (RL), a cutting-edge approach designed to learn optimal decision-making strategies through trial and error in dynamic environments, has emerged as a promising tool for developing adaptive crop management policies. …”
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Субъектозависимый метод обнаружения атак на биометрическое предъявление в системах распознавания диктора на основе обнаружения аномалий... by Mikhail Evsyukov

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An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations by Baoqian Huan, Xianglong Li, Jianguo Wang, Tao Hu, Zihao Tao

“…The results showed that the NRBO-CNN-LSSVM model achieved remarkable prediction accuracy on the training dataset, with a coefficient of determination (R 2) as high as 0.9717 and a root mean square error (RMSE) as low as 0.0285. On the test set, the model maintained high prediction accuracy, with an R 2 value of 0.9105 and an RMSE of 0.0403. …”
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Validity and reliability of the Chinese version of the Jenkins Sleep Scale among university students in China by Mengyuan Zhao, Garry Kuan, Ke Zhou, Yee Cheng Kueh

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Thermoplastic Labyrinth Seals Under Rub Impact: Deformation Leakage Mechanisms and High Efficiency Optimization by Fei Ma, Zhengze Yang, Yue Liu, Shuangfu Suo, Peng Su

“…A custom designed rub-impact test rig was constructed to measure dynamic forces and validate finite element analysis (FEA) models with an error of 5.1% in predicting tooth height under mild interference (0.25 mm). …”
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Translation, cross-cultural adaptation and validation of the Weight Management Questionnaire in the Brazilian population: a cross-sectional study by Brígida Rodrigues da Costa, Almir Vieira Dibai-Filho, Aldair Darlan Santos-de-Araújo, Fábio Henrique Ferreira Pereira, Daniela Bassi-Dibai, Adriana Sousa Rêgo

“…Thus, the structure with two domains presented adequate fit indices: chi-square/degree of freedom = 1.66, comparative fit index = 0.996, Tucker-Lewis index = 0.994, root mean square error of approximation = 0.057, and standardized root mean square residual = 0.047. …”
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Comparison of Dixon Sequences for Estimation of Percent Breast Fibroglandular Tissue. by Araminta E W Ledger, Erica D Scurr, Julie Hughes, Alison Macdonald, Toni Wallace, Karen Thomas, Robin Wilson, Martin O Leach, Maria A Schmidt

“…<h4>Objectives</h4>To evaluate sources of error in the Magnetic Resonance Imaging (MRI) measurement of percent fibroglandular tissue (%FGT) using two-point Dixon sequences for fat-water separation.…”
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A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms by Bo Wang, Shu Wang, Zheng Wang, Yingying Zheng, Xin Li

“…However, under extreme weather conditions, the difficulty of research is caused by data scarcity and significant weather fluctuations. …”
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Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts by Thompson Stephan, Padma Priya Dharishini Paramana, Chia-Chen Lin, Saurabh Agarwal, Rajan Verma

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Axial Compression Behavior of Circular Concrete-Filled High-Strength Thin-Walled Steel Tubular Columns with Out-of-Code D/t Ratios by Jun-Xin Li, Jian-Tao Wang, Qing Sun, Yan-Ru Wu, Shi-Ming Zhou, Fa-Cheng Wang

“…Finally, a theoretical model for calculating axial bearing capacity was derived based on unified twin-shear strength theory by considering the influence of intermediate principal stress. The research results indicate that a relatively high confine effect can be guaranteed for CFHTST columns under out-of-code D/t ratios, given that the ratio Nu/Nnom between the measured capacity (Nu) and nominal cross-sectional capacity (Nnom) mainly distributes within 1.179∼1.292; the full-range analysis reflects that the axial load-deformation curve can be distinguished by four various loading stages; the scope b = 0.3∼0.55 of intermediate stress coefficient is generally suggested for predicting axial strength of circular CFST columns within an error of ±5%. …”
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A Data-Driven Framework for Optimizing Propranolol Dosage Using Support Vector Regression and Reinforcement Learning by Felix Anayo Njoku, Sunday Olajide Awofisayo, Frank Edughom Ekpar, Simeon Ozuomba

“…Model performance was assessed using Mean Squared Error (MSE), R-squared (R²), and F1-score. Statistical comparisons between SVR predictions, RL-refined dosages, and physician-prescribed doses were performed using paired t-tests and one-way ANOVA. …”
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Enhancing Log-Likelihood Ratios with Mutual Information on Three-Reader One-Track Detection in Staggered BPMR Systems by Natthakan Rueangnetr, Santi Koonkarnkhai, Piya Kovintavewat, Simon John Greaves, Chanon Warisarn

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