Bivariate Epanechnikov-exponential distribution: statistical properties, reliability measures, and applications to computer science data by H. M. Barakat, M. A. Alawady, I. A. Husseiny, M. Nagy, A. H. Mansi, M. O. Mohamed

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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

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Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Thus, in order to demonstrate the geometrical similarities and differences in mathematical terms, similarities between sample features were calculated, measuring sizes and populations along different directions which could be used to establish rules and parameters for the appropriate control of nucleation and growth. …”
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Investigation of the Carbon Dioxide Centrifugal Compressor Working Process using Computational Fluid Dynamics Methods by Fateeva E.S., Danilishin A.M., Kozhukhov Y.V., Kazantsev R.A.

“…The most significant results are the describing the features of the carbon dioxide centrifugal compressor working process using both the built-in real gas models in Ansys CFX and imported tables of real gas properties and the demonstration of satisfactory agreement between simulation and experiment. …”
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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…The classification of spectral features evaluated separately for the left and right legs pointed the classification accuracy of 94.5% for accelerometric data and 99.1% for gyrometric data estimated by the use of the two layer neural network and the symmetry coefficient of 1.05 for the slope of 8%. …”
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Computational Screening of Heterocyclic L-Type Calcium Channel Blockers for Potential Anti-Parkinson’s Activity by Thomas Kurian, Rani Sebastian

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The Comparison of Distributed P2P Trust Models Based on Quantitative Parameters in the File Downloading Scenarios by Jingpei Wang, Jie Liu

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Edge computing based english translation model using fuzzy semantic optimal control technique. by Na Wang

“…People's need for English translation is gradually growing in the modern era of technological advancements, and a computer that can comprehend and interpret English is now more crucial than ever. …”
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MEAC: A Multi-Scale Edge-Aware Convolution Module for Robust Infrared Small-Target Detection by Jinlong Hu, Tian Zhang, Ming Zhao

“…Traditional convolutional neural networks (CNNs) struggle to detect such weak, low-contrast objects due to their limited receptive fields and insufficient feature extraction capabilities. To overcome these limitations, we propose a Multi-Scale Edge-Aware Convolution (MEAC) module that enhances feature representation for small infrared targets without increasing parameter count or computational cost. …”
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Design of MobileNetV3 network accelerator based on dynamic adaptive computing engine by Xiang Haobin, Yang Ruimin, Wu Wentao, Li Chunlei, Dong Yan

“…To address this problem, this paper proposes a MobileNetV3 network accelerator based on a dynamic adaptive computing engine. Firstly, a pipeline inference architecture of local perception area convolution is designed to achieve highly parallel processing and buffer scheduling of features and weights. …”
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Accuracy and Precision Evaluation of Image-Based Computer Assisted Surgical System for Total Ankle Arthroplasty by Matthew C. Rueff MSc, Zach Tupper, Matthew Hamilton PhD, Prudhvi Chinimilli, Scott Gulbransen, Laureline Prouvost, Edward T. Haupt MD, Laurent Angibaud, Dipl Ing.

“…Category: Ankle; Ankle Arthritis Introduction/Purpose: Computer Assisted Surgical (CAS) systems have been used successfully in joint arthroplasty to improve the accuracy of resections. …”
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Rice Growth Parameter Estimation Based on Remote Satellite and Unmanned Aerial Vehicle Image Fusion by Jiaqi Duan, Hong Wang, Yuhang Yang, Mingwang Cheng, Dan Li

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Analysis dynamic characteristics brushless motor of the mechatronic system in conditions of parametric uncertaintyby computer simulation methods by N. A. Malev, O. V. Pogoditsky, O. V. Kozelkov, A. M. Dyuryagin

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Radiomics Signatures Based on Computed Tomography for Noninvasive Prediction of CXCL10 Expression and Prognosis in Ovarian Cancer by Xiaohua Wang, Yuanyuan Xing, Xuan Zhou, Chunhui Wang, Shuyu Han, Sufen Zhao

“…For the data reduction, logistic regression, operator regression, least absolute shrinkage selection, radiomic feature construction, and feature selection were utilized. …”
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Assessing Sternal Dimensions for Sex Classification: Insights from a Greek Computed Tomography-Based Study by Konstantina Vatzia, Michail Fanariotis, Maciej Bugajski, Ioannis V. Fezoulidis, Maria Piagkou, Marianna Vlychou, George Triantafyllou, Ioannis Vezakis, George Botis, Stavroula Papadodima, George Matsopoulos, Katerina Vassiou

“…<b>Background/Objectives:</b> This study aimed to assess the potential of sternal morphometric parameters derived from multidetector computed tomography (MDCT) for sex estimation in a contemporary Greek population. …”
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Machine learning for optimal parameter prediction in free space continuous-variable quantum key distribution by Dong Chen, Cheng Jin, Liu Ao, Chen Lanjian, Chen YuJie, Yin Peng, Wu TianYi

“…But the efficiency of local search methods is limited in low latency and limited computing power scenarios due to their high computational consumption. …”
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Computer Simulation and Speedup of Solving Heat Transfer Problems of Heating and Melting Metal Particles with Laser Radiation by Arturas Gulevskis, Konstantin Volkov

“…The study of the process of laser action on powder materials requires the construction of mathematical models of the interaction of laser radiation with powder particles that take into account the features of energy supply and are applicable in a wide range of beam parameters and properties of the particle material. …”
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Gliosarcoma: A Very Rare Biphasic Histopathological Engima Associated with Very Poor Prognostic Parameters by Pal Ruchismita, CD Anand, J Sowmiya, TP Jayaselvan, Manasa Raj

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A division-dependent compartmental model for computing cell numbers in CFSE-based lymphocyte proliferation assays by H. Thomas Banks, W. Clayton Thompson, Cristina Peligero, Sandra Giest, Jordi Argilaguet, Andreas Meyerhans

“…From such a model, cell counts (in terms of the number of divisions undergone) can be directly computed and thus key biological parameters such as population doubling time and precursor viability can be determined. …”
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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

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