Age Distribution of Bone Mineral Density According to Quantitative Computed Tomography by A. V. Petraikin, F. A. Petriaikin, К. A. Sergunova, L. A. Nizovtsova, E. S. Akhmad, D. S. Semenov, N. S. Polishchuk, S. P. Morozov, A. V. Vladzymyrskyy

“…The BMD values were compared with the reference data embedded in the QCP software, by using the methods of regression analysis. …”
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ANALYSIS OF GALACTOOLIGOSACCHARIDES by Anna Aleksandrovna Kotova, Svetlana Andreevna Ryabtseva

“…The article presents data on the composition and properties of galactooligosaccharides of the well-known manufacturers. …”
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Artificial Intelligence (ChatGPT) and Bloom’s Taxonomy in Theoretical Computer Science Education by Hashim Habiballa, Martin Kotyrba, Eva Volna, Vladimir Bradac, Martin Dusek

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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. …”
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NEGOTIATING COMMON GROUND IN COMPUTER-MEDIATED VERSUS FACE-TO-FACE DISCUSSIONS by Ilona Vandergriff

“…A number of factors, including communicative purpose or medium are hypothesized to affect the use of such strategies (Clark & Brennan, 1991). In the data analysis, I 1) identify specific types of reception strategies, 2) compare their relative frequencies by communication medium, by task, and by learner and 3) describe how these reception strategies function in the discussions. …”
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Computing the Commonalities of Clusters in Resource Description Framework: Computational Aspects by Simona Colucci, Francesco Maria Donini, Eugenio Di Sciascio

“…Clustering is a very common means of analysis of the data present in large datasets, with the aims of understanding and summarizing the data and discovering similarities, among other goals. …”
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Designing the trajectories of variant teaching of the basics of artificial intelligence in the school course of computer science taking into account the possibilities of project-re... by Sergey D. Karakozov, Nadezhda N. Samylkina

“…Theoretical methods of research were used: analysis of scientific publications on the subject of artificial intelligence and data analysis, analysis and comparison of materials of foreign educational standards of different levels of education, review of domestic practices of implementation of the results of pedagogical research on the methodology of teaching computer science on the basis of integrative methodological approach. …”
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Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization by Mariana Rodrigues Villarim, Andréa Willa Rodrigues Villarim, Mario Gazziro, Marco Roberto Cavallari, Diomadson Rodrigues Belfort, Oswaldo Hideo Ando Junior

“…The proposed tool offers several innovations, such as integration of both traditional and hybrid (angle vs wavelength) analysis modes, implementation of four advanced curve smoothing techniques, including Gaussian filter, Savitzky–Golay, smoothing splines, and EWMA, as well as a user-friendly graphical interface supporting real-time data visualization, experimental data import, and result export. …”
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The problem of analysis of big web data and the use of data mining technology for processing and searching patterns in big web data on a practical example by K. V. Mulyukova, V. M. Kureichik

“…The study included a review of bibliographic sources on big data analysis problems.Data Mining technology was used to analyze large web data, as well as computer modeling of a practical problem using the C # programming language and creating a DDL database structure for accumulating web data.Results. …”
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Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis by Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li

“…A 128-neuron, double-hidden-layer neural network balanced computational efficiency and accuracy well in the surrogate model for modal analysis. …”
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Integration of lyoplate based flow cytometry and computational analysis for standardized immunological biomarker discovery. by Federica Villanova, Paola Di Meglio, Margaret Inokuma, Nima Aghaeepour, Esperanza Perucha, Jennifer Mollon, Laurel Nomura, Maria Hernandez-Fuentes, Andrew Cope, A Toby Prevost, Susanne Heck, Vernon Maino, Graham Lord, Ryan R Brinkman, Frank O Nestle

“…Here, we establish a novel framework for immunological biomarker discovery, comparing a conventional (liquid) flow cytometry platform (CFP) and a unique lyoplate-based flow cytometry platform (LFP) in combination with advanced computational data analysis. We demonstrate that LFP had higher sensitivity compared to CFP, with increased detection of cytokines (IFN-γ and IL-10) and activation markers (Foxp3 and CD25). …”
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Computational Fluid Dynamic (CFD) Analysis of Tray Dryer Performance for Turmeric Rhizome Drying by Duc T. Le, Nhu V.P Le, Yen H.P Duong, Tan M. Le, Viet T. Tran

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Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis by Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

“…This study introduces a novel preprocessing algorithm to bridge the gap between computational efficiency and segmentation fidelity in object-based image analysis for machine learning applications. …”
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High resolution building facade dataset for facade elements parsingMendeley Data by Shuchang Xu, Fan Wu, Junjie Cheng, Wenzhen Yang

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Computer-modeled interference fringes and the subsequent analysis for re-evaluating the Michelson–Morley experiment by Wen-An Zhang

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Neural network in an artificial intelligence model for realization of affective computing based on electroencephalogram analysis by A.G. Choban, D.G. Stadnikov, A.E. Sulavko

“…The main approaches to brain stimulation for obtaining informative EEG signals, as well as describing methods for their analysis and recognition. The architecture of a deep convolutional neural network for EEG data analysis is proposed, as well as a neural network model for classifying 4 emotions (fear, happiness, sadness, calmness) according to the Russell valency-arozality scale based on two convolutional neural networks. …”
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Application analysis of computer vision and image recognition based on improved VGG16 network by Xuanzhang Zhu, Yafei Li

“…On the basis of improving the deep convolutional neural network model, combined with the boundary Fisher analysis algorithm that can recognize high-dimensional data, an image recognition model is constructed to achieve efficient recognition of visual images. …”
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Integrating Human-Computer Interactions in Nigerian Energy System: A Skills Requirement Analysis by Omoseni Adepoju, Oluwarotimi Akinyomi, Oluwadamilola Esan

“…This research explores the impact of HCI in the adoption of technologies of 4IR (Artificial Intelligence, the Internet of Things, Big Data, and Cloud Computing), in Nigeria's energy sector. …”
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Analysis of repeated computed tomography scans and cumulative effective dose of patients in a hospital by Ana Luiza Milani, Allan Felipe Fattori Alves, Matheus Alvarez, Samara Pavan Souza, Túlio Guilherme Soares Marques, Marcos Aureliano Araujo Silva, José Carlos Souza Trindade Filho, Diana Rodrigues Pina

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Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023) by Ana Sophia Angulo Medina, Maria Isabel Aguilar Bonilla, Ingrid Daniela Rodríguez Giraldo, John Fernando Montenegro Palacios, Danilo Andrés Cáceres Gutiérrez, Yamil Liscano

“…This study offers a comprehensive bibliometric analysis of global EEG-based BCI research in rehabilitation from 2013 to 2023. …”
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