Virtualization Security, Key Issues of Public Cloud Computing Security by Jiaren Jiang

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Analysis of thermoelastic stresses in filament wound composite pressure vessels using evolutionary deep learning and many-objective optimisation by Dominik Vondráček, Zdeněk Padovec, Tomáš Mareš, Nirupam Chakraborti

“…Thermoelastic stresses induced in filament wound composite pressure vessels by temperature changes significantly influence the resulting load of the pressure vessel. …”
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Data-Driven Analysis: Examining the Impact of COVID-19 from the Perspective of Residential and Non-Residential Electricity Consumption by Zhiheng Yang, Xiu Cao, Qifan Zhang

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A Comprehensive Data Maturity Model for Data Pre-Analysis by Lukas Knoflach, Lin Shao, Torsten Ullrich

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Computational analysis of the gut microbiota-mediated drug metabolism by Sammie Chum, Alberto Naveira Montalvo, Soha Hassoun

“…This computational analysis incorporates data from diverse sources, e.g., UHGG, MagMD, MASI, KEGG, and RetroRules. …”
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Next-Generation Computational Approaches for Biological Network Analysis by Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, Ahsan Jamal Memon, Muhammad Talha Nasir, Arleen Yousuf

“…Protein-protein interaction (PPI) networks are critical to understanding cellular processes and disease mechanisms. Computational advances have transformed PPI analysis, allowing for the prediction, analysis, and visualization of intricate interaction networks. …”
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Definition of innovation problems in organizations using data analysis tasks from hybrid sources: social networks and organizational databases by Ana Gutiérrez, Jose Aguilar, Ana Ortega, Edwin Montoya

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Computational Analysis to Factor Wind into the Design of an Architectural Environment by Hassam Nasarullah Chaudhry, John Kaiser Calautit, Ben Richard Hughes

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Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis by Ales Prochazka, Hana Charvatova

“…This paper focuses on motion analysis in alpine skiing using real accelerometric, gyroscopic, positioning, and video data to evaluate ski movement patterns. …”
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Computational analysis of DEHP’s oncogenic role in colorectal cancer by Zhou Zhu, Jian Qin, Chungang He, Shuangyou Wang, Yaolin Lu, Shuai Wang, Xiaogang Zhong

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DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data by Christopher Patsalis, Gayatri Iyer, Marci Brandenburg, Alla Karnovsky, George Michailidis

“…Abstract Background Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. …”
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Enhancing U-Net Segmentation Accuracy Through Comprehensive Data Preprocessing by Talshyn Sarsembayeva, Madina Mansurova, Assel Abdildayeva, Stepan Serebryakov

“…The accurate segmentation of lung regions in computed tomography (CT) scans is critical for the automated analysis of lung diseases such as chronic obstructive pulmonary disease (COPD) and COVID-19. …”
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BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data by Md. Naimul Islam Nuhash, Sadia Akter

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Not the same: a text network analysis on computational thinking definitions to study its relationship with computer programming by Jesús Moreno, Gregorio Robles, Marcos Román, Juan David Rodríguez

“…As a result, a new definition of computational thinking is proposed, which emerge from the analyzed data. …”
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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

“…Computer vision systems can surveil and exploit data without consent. …”
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A computational approach and software package RNAexploreR for grouping RNA molecules of human genes by exon features by M. M. Yatskou, V. V. Skakun, V. V. Grinev

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A novel, human-in-the-loop computational grounded theory framework for big social data by Lama Alqazlan, Zheng Fang, Michael Castelle, Rob Procter

“…In the context of qualitative data analysis, a major challenge is that conventional methods require intensive manual labour and are often impractical to apply to large datasets. …”
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Exploring disulfiram mechanisms in renal fibrosis: insights from biological data and computational approaches by Vishal S. Patil, Chandragouda R. Patil, Harun M. Patel, Anoop Kumar

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Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study by Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

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Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions by Lindsey N. Anderson, Charles Tapley Hoyt, Jeremy D. Zucker, Andrew D. McNaughton, Jeremy R. Teuton, Klas Karis, Natasha N. Arokium-Christian, Jackson T. Warley, Zachary R. Stromberg, Benjamin M. Gyori, Benjamin M. Gyori, Neeraj Kumar

“…Furthermore, we highlight specific challenges associated with uncertainty quantification in vaccine development and emphasize the importance of establishing standardized data formats and ontologies to facilitate the integration and analysis of heterogeneous data. …”
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