Two-Dimensional Numerical Method for Predicting the Resistance of Ships in Pack Ice: Development and Validation by Yan Huang, Ce Sun, Jianqiao Sun

“…The comparison shows that the simulation results are consistent with the test results, with an average error of 9.05%, indicating the effectiveness and reliability of this numerical method. …”
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A Differential Performance in the Ability Difference to Employ Test Wiseness Strategies According to Contemporary Measurement Theory by Waleed Khalid Abdulkareem Baban

“… The current research aims to utilize the Andrich Model, described as one of the Polytomous models, within the framework of Contemporary Measurement Theory. …”
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Adapting and Validating a Moral Identity Scale for Korean Intensive Care Unit Nurses by Junghoon Lee, Yeoungsuk Song

“…Confirmatory factor analysis showed acceptable model fit indices (χ 2 [ p ] = 28.822 [.051], df  = 18, root mean square error of approximation = 0.076, goodness-of-fit index = 0.937, Tucker–Lewis index = 0.93, and comparative fit index = 0.955) and standardized factor loadings (0.45–0.82). …”
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Acquisition of Current and Vibration Data for Rewound Burnt Three-Phase Induction Motor by A.I. Abdullateef, O.S. Fagbolagun, M.F. Sanusi

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Maximizing efficiency and performance of water distribution systems through the implementation of optimization algorithms: A comprehensive analysis of valve and chlorine booster pl... by Mohamadreza Najarzadegan, Mehrtash Eskandaripour

“…Additionally, the SMA algorithm outperformed GA in terms of computational efficiency and solution quality, achieving a 12 % lower error margin and a 33 % reduction in computational time. …”
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Variational AutoEncoder for synthetic insurance data by Charlotte Jamotton, Donatien Hainaut

“…We propose a VAE model with a quantile transformation for continuous (latent) variables, a reconstruction loss that combines categorical cross-entropy and mean squared error, and a KL divergence-based regularisation term. …”
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Dynamic Node Management for Energy Optimization in Cognitive Radio Systems by Tangsen Huang, Haibing Yin, Xiangdong Yin, Huijun Xiao

“…The objective is to maximize energy efficiency subject to a constraint on the error probability, ensuring the highest possible energy efficiency while satisfying the required sensing performance criteria. …”
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Enhancing Off-Road Topography Estimation by Fusing LIDAR and Stereo Camera Data with Interpolated Ground Plane by Gustav Sten, Lei Feng, Björn Möller

“…LIDARs are also more expensive. The research question examines whether incorporating LIDARs can significantly improve stereo camera accuracy. …”
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Determinants of Fare Evasion in Urban Bus Lines: Case Study of a Large Database Considering Spatial Components by Susana Freiria, Nuno Sousa

“…From a more theoretical standpoint, it suggests further research on geographic factors is needed to fully understand spatial patterns of evasion.…”
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From policy to practice: The mediating role of innovation in renewable energy adoption in OECD nations by Anjan Kumar Sahu, Mantu Kumar Mahalik

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Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios by Zhe Li, Zhenhao Jiang, Xianyou Pan

“…Finally, the convolutional neural network (CNN) is trained on the selected derived dataset to evaluate the performance of our approach in terms of type-II error, accuracy, G-mean, and AUC. There are two contributions in this study. …”
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RECONFIGURABLE CONTROL SYSTEM WITH DISCRETE-TIME CONTROLLERS by A. G. Strizhnev, A. N. Rusakovich

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Evaluating Translation Quality: A Qualitative and Quantitative Assessment of Machine and LLM-Driven Arabic–English Translations by Tawffeek A. S. Mohammed

“…Using well-established evaluation metrics such as bilingual evaluation understudy (BLEU), translation error rate (TER), and character n-gram F-score (chrF), alongside the qualitative translation quality assessment model proposed by Juliane House, this study investigates the linguistic and semantic nuances of translations generated by different systems. …”
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Investigation Two Type of Absolute and Coordination Variability of Upper Limb Joints through Learning by Zahra Entezari Khorasani, Alireza Farsi, Mohamad Kazem Vaez Mousavi, Behroz Abdoli

“…Absolute variability was measured by root mean square error and coordination variability was assessed using vector coding. …”
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Subjective and Objective Quality Assessment of Image: A Survey by Pedram Mohammadi, Abbas Ebrahimi-Moghadam, Shahram Shirani

“…Furthermore, a brief introduction to 3-D IQA is provided and the issues related to this area of research are reviewed.…”
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Wave structures in the ice field and influence of them on the strength of salt ice by V. P. Epifanov, K. E. Sazonov

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Entrepreneurial engagement and technical grants funding: Analysis of structurally behavioural determinants and economic factors by Abiola John Asaleye, Thobeka Ncanywa

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The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

“…The proposed method utilizes the term frequency inverse document frequency algorithm for text mining, and combines error back propagation neural network for learning to explore the potential connection between users and videos. …”
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SEED SUPPLY AND SEED PREFERENCES OF POTATO FARMERS: NIGDE CENTRAL AND IZMIR ODEMİS PROVINCES by M. Çağla ÖRMECİ KART, Canan F. ABAY, Selina GÜNGÖR, Zeynep ÖZER

“…According to the conjoint analysis results, production type has found the first important factor in both research regions such as the cooking type in Nigde, industrial type in Odemis are preferred by farmers. …”
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EFFECT OF HARVESTING AND DESICCATION METHODS ON QUALITY OF OIL FLAX PRODUCTS AND ECONOMIC EFFICIENCY OF THE CROP IN CASE OF ITS USE BOTH FOR SEED AND FIBRE by Viktor GARMASHOV, Viktor SHCHERBAKOV, Inna KOGUT, Pavlo LYKHOVYD, Oleksandr RUDIK, Ali KERIMOV

“…This research is aiming at exploration of some factors, influencing production cost of cow milk in Bulgarian dairy farms. …”
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