Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

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COVID-19 Data Analysis: The Impact of Missing Data Imputation on Supervised Learning Model Performance by Jorge Daniel Mello-Román, Adrián Martínez-Amarilla

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Techno-economic and life-cycle analysis of strategies for improving operability and biomass quality in catalytic fast pyrolysis of forest residues by David N. Thompson, Damon S. Hartley, Matthew R. Wiatrowski, Jordan Klinger, Rajiv Paudel, Longwen Ou, Hao Cai

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Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

“…It is shown that the data analysis/classification results improve with an increasing number of surrogates, but this no longer continues after a certain number of surrogates. …”
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Improvement in hippocampal kindling analysis through computational processing data Aprimorando a análise do modelo de kindling hipocampal com o auxílio de processamento computacional by Joacir Graciolli Cordeiro, Alberto Capurro, Ad Aertsen, Karina Kohn Cordeiro, João Cândido Araújo, Andreas Schulze-Bonhage

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A Survey of Data Mining Implementation in Smart City Applications by Zainab Salih Ageed, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Zryan Najat Rashid, Azar Abid Salih, Wafaa M. Abdullah

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The role of cognitive computing in NLP by Laura Orynbay, Gulmira Bekmanova, Banu Yergesh, Assel Omarbekova, Ayaulym Sairanbekova, Altynbek Sharipbay

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Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data by Guanao Yan, Shuo Harper Hua, Jingyi Jessica Li

“…Abstract In the analysis of spatially resolved transcriptomics data, detecting spatially variable genes (SVGs) is crucial. …”
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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

“…A novel data analysis framework was introduced with two purposes to augment data for machine learning (ML) models: transferring features from high-fidelity to low-fidelity surrogates and enhancing simulation data and increasing computational efficiency. …”
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Machine learning-based feature selection for ultra-high-dimensional survival data: a computational approach by Nahid Salma, Majid Khan Majahar Ali, Raja Aqib Shamim

“… Ultra-high-dimensional (UHD) survival data presents significant computational challenges in biomedical research, particularly in Renal Cell Carcinoma (RCC), where genomic complexity complicates risk assessment. …”
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Two-stage multiple imputation with a longitudinal composite variable by Xuzhi Wang, Martin G. Larson, Chunyu Liu

“…Methods We evaluated the performance of two-stage MI in a novel context, imputing a composite variable constructed from several continuous and binary components in the longitudinal setting while handling missing data due to MAR and missing not at random (MNAR). …”
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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

“…High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. …”
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Topologically Optimized Anthropomorphic Prosthetic Limb: Finite Element Analysis and Mechanical Evaluation Using Plantogram-Derived Foot Pressure Data by Ioannis Filippos Kyriakidis, Nikolaos Kladovasilakis, Marios Gavriilopoulos, Dimitrios Tzetzis, Eleftheria Maria Pechlivani, Konstantinos Tsongas

“…In this paper, the development of a novel anthropomorphic designed prosthetic foot with a novel Thermoplastic Polyurethane-based composite (TPU-Ground Tire Rubber 10 wt.%) was studied. …”
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Trends of Primary School Teachers Computational Thinking Research: Bibliometric Analysis by Swasti Maharani, Irna Tri Yuniahastuti, Ihtiari Prastyaningrum, Vera Dewi Susanti, Hendrisa Rizqie Romandoni, Alief Arida Dhimas Atmojo

“…This study aims to analyze publication trends, researcher collaboration, and dominant keywords in CT-related research focusing on elementary school teachers from 2015 to 2024. A bibliometric analysis method was employed using data retrieved from Dimensions.ai, which was further analyzed with VOSviewer software. …”
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Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study by Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

“…The average polarity score demonstrated a generally positive trend over the course of the study (Mann-Kendall Statistic=0.266; τ=0.266; P ConclusionsThis NLP-assisted study provides a decade-long analysis of public perception of BCI technology based on data from X. …”
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Feasibility of fusion plasma burn control via real-time, sub-divertor neutral gas isotopic and compositional analysis by C.C. Klepper, E. Lerche, V. Graber, E. Delabie, E. Schuster, T.M. Biewer, J.D. Lore, P. Jacquet, M.J. Mantsinen, C. Marcus, B.R. Quinlan, the EUROfusion Tokamak Exploitation Team, JET Contributors

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In Situ Compositional Analysis of Tomato Plants and Cell Wall Using Fiber Optic Fourier-Transform Near-Infrared Spectroscopy by Raghav Tewari, Ritu Joshi

“…The spectral signature analysis of each tomato plant was performed to see substantial differences in chemical compositions using chemometric data modeling of FT-NIR spectra. …”
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An Empirical Study on Cost Benefit Comparison and Pricing Model of Cloud Computing Data Center and Traditional IDC by Ruozhao Feng, Yunling Fan

“…The development of cloud computing technology and market demand gradually promote the products of cloud data center services.As a reference to traditional IDC business of telecom operators,the cost structure and investment returns of cloud data centers and traditional IDC were compared through empirical analysis,as the basis for constructing cost pricing model of cloud data center.…”
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An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization by Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma

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An Empirical Study on Cost Benefit Comparison and Pricing Model of Cloud Computing Data Center and Traditional IDC by Ruozhao Feng, Yunling Fan

“…The development of cloud computing technology and market demand gradually promote the products of cloud data center services.As a reference to traditional IDC business of telecom operators,the cost structure and investment returns of cloud data centers and traditional IDC were compared through empirical analysis,as the basis for constructing cost pricing model of cloud data center.…”
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