Intelligent Computerized Video Analysis for Automated Data Extraction in Wave Structure Interaction; A Wave Basin Case Study by Samuel Hugh Wolrige, Damon Howe, Hamed Majidiyan

“…This study investigates the application of Computerized Video Analysis (CVA) for water surface tracking in maritime experimental tests, marking the first exploration of digitalized experimental video analysis at the Australian Maritime College (AMC). …”
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Video Recorder as an Object of Forensic Expert Analysis by S. A. Krutov

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Modeling solar power plants with daily data using genetic programming and equivalent circuit by Alireza Reisi, Abbas‐Ali Zamani, Seyyed Masoud Barakati

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Comparative Analysis of Big Data and BI Projects by Gloria J. Miller

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Computer analysis of the emotional modality of 20 million publications in PUBMED database indicates ways to increase the effectiveness of pharmacotherapy by identifying pseudoscien... by V. A. Maximov, I. Yu. Torshin, O. A. Gromova, A. N. Galustyan, I. V. Gogoleva, T. R. Grishina, A. N. Gromov, A. G. Kalacheva, Z. D. Kobalava, V. M. Kodentsova, O. A. Limanova, S. I. Malyvskaya, K. V. Rudakov, I. S. Sardaryan, A. I. Sorokin, L. V. Stakhovskaya, N. I. Tapilskaya, N. K. Tetruashvili, L. E. Fedotova, A. K. Hadzhidis

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Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

“…Wiratman Cipta Manggala (WCM), Graha Simatupang, Simatupang, Jakarta, 12540, Indonesia; 8Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia; 9Computer Science Department, BINUS Graduate Program – Master of Computer Science Program, Bina Nusantara University, Jakarta, 11480, IndonesiaCorrespondence: Rezzy Eko Caraka; Rung Ching Chen, Email r.eko.caraka@unpad.ac.id; crching@cyut.edu.twIntroduction: Attention Deficit Hyperactivity Disorder (ADHD) is a complex neurodevelopmental condition characterized by heterogeneous brain activity patterns. …”
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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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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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