Comparative Analysis of RF, SVR with Gaussian Kernel and LSTM for Predicting Loan Defaults by Konstantinos Kofidis, Cătălina Lucia Cocianu

“…The models are evaluated using metrics such as Mean Squared Error (MSE), F1 score, and Accuracy, and their proficiency in addressing imbalanced datasets and elucidating intricate data relationships is highlighted. …”
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BDCOA: Wavefront Aberration Compensation Using Improved Swarm Intelligence for FSO Communication by Suhas Shankarnahalli Krishnegowda, Arvind Kumar Ganesh, Parameshachari Bidare Divakarachari, Veena Yadav Shankarappa, Nijaguna Gollara Siddappa

“…Free Space Optical (FSO) communication is extensively utilized in the telecommunication industry for both ground and space wireless links, as well as last-mile applications, as a result of its lesser Bit Error Rate (BER), free spectrum, and easy relocation. …”
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Accelerometer application mathematical model by Vincas Benevičius, Narimantas Listopadskis

“…Final results showed that such movement trace is possible and may be applicable. The results also showed origins for errors which according to the results, are quite high globally. …”
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Review of construction and reasoning methods for knowledge graphs in coal mining domain by LUO Xiangyu, HUA Ying, WANG Xiping, XIE Panshi, WU Yongping

“…Research on reasoning techniques should remain application-driven and tightly integrated with business scenarios. …”
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On web-applications usability testing by Boris M. Basok, Alena N. Rozhanskaya, Sergey L. Frenkel

“…The obtained experimental data showed that, despite testing the usability of software at the development stages, some errors in the operation of web applications remain undetected. …”
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Factorial Numbers and Their Practical Applications by Oleksiy Borysenko, Oleksii Horiachev, Svitlana Matsenko, Anatolii Novhorodtsev, Olga Berezhna, Vjaceslavs Bobrovs, Toms Salgals, Jurgis Porins

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Steiner eccentricity: Predictions and applications by Xingfu Li, Zongbo Yang, Siyi Lin, Jialu Wang

“…It demonstrates remarkable performance, achieving a mean absolute error (MAE)<0.6 with variance<0.5. These results robustly validate the predictive power of graph energy and average eccentricity as surrogate metrics for approximating the average Steiner 3-eccentricity, thereby offering a scalable solution for practical applications.…”
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The Theory and Applications of Hölder Widths by Man Lu, Peixin Ye

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A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

“…The optimization algorithm exhibits poor applicability, lacks robust constraints, converges rapidly, and tends to trap in local optima. …”
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Scientific and Engineering Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by M. R. Bibarsov, S. V. Dvornikov, A. F. Kryachko, A. V. Pshenichnikov

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AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations by Ayesha Khaliq, Atif Khan, Salman Jan, Muhammad Umair, Asad Gulshair, Ahmad Ali, Usman Ali Shah

“…For soil analysis, the TabNet regressor achieved a root mean square error (RMSE) of 1.51 and an R2 score of 98.7%, while XAI techniques were used to explain and interpret its predictions. …”
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Scoliosis Assessment Aid (SAA): A Technological Tool for Scoliosis Management by Mohamad Firas Wahbeh

“…Despite its effectiveness in standardizing assessments and enhancing care efficiency, the app relies on manual input, which can lead to measurement errors of 5-8%, and is currently limited to English. …”
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The POD-based reduced-dimension study on the two-grid finite element method for the nonlinear time-fractional wave equation by Liang He, Yihui Sun, Zhenglong Chen, Fei Teng, Chao Shen, Zhendong Luo

“…The biggest contribution of this paper consists in analyzing theoretically the existence, stability, and errors of the RDTGFE solutions, and in applications, verifying the correctness of the obtained theoretical results and the advantages of the RDTGFE method. …”
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Quantifying the analysis uncertainty for nowcasting application by Y. Zhu, Y. Zhu, A. Atencia, M. Dabernig, Y. Wang, Y. Wang

“…<p>This study proposes a method to quantify uncertainty represented by errors in very-high-resolution near-surface analysis, specifically for weather nowcasting applications. …”
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CALCULATION, PREPARATION AND SAFETY IN DRUG APPLICATION by Tina Sabadin, Maja Čamernik, Erika Šmid, Janja Skubic

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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

“…Three different training optimizers are considered, namely the Levenberg-Marquardt (LM) algorithm, the Bayesian Regularization (BR) algorithm, and the Scaled Conjugate Gradient (SCG) algorithm. The Mean Squared Error is used as the main performance metric to evaluate the training accuracy of the FFBP-NN. …”
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Spectral-Directional Thermography for Scientific Applications by MATHEUS PEREIRA PORTO

“…However, conventional thermographic methods often suffer from significant measurement errors due to oversimplified thermal radiation models. …”
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A novel data-driven based high-precision building roof contour full-automatic extraction and structured 3D reconstruction method combining stereo images and LiDAR points by Xiongwu Xiao, Kai Wang, Zhichao Zhong, Wenhu Qu, Weiwei Wu, Zhigao Cui, Yanzhao Su, Aihua Li, Jianya Gong, Deren Li

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Optimization and Application of Fuzzy Neural Network by LI Hao-nan, LIU Yong

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Perturbations of an Ostrowski type inequality and applications by Nenad Ujević

“…Two perturbations of an Ostrowski type inequality are established. New error bounds for the mid-point, trapezoid, and Simpson quadrature rules are derived. …”
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