A data fusion based approach for damage detection in linear systems by Ernesto Grande, Maura Imbimbo

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Patterns of Neck Main Arteries Morphometry and Echocardiography Data by Maksud А. Khalilov, Andrey S. Moshkin, Lyubov V. Moshkina

“…Objective: to compare the objective results of ultrasound imaging of neck main arteries with echocardiography data, to assess the correlation patterns between the morphological characteristics of the structures.Material and methods. …”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…This approach aims to advance semi-supervised learning in contexts characterized by limited labeled data by enabling more intricate and expressive embeddings that capture the underlying structure of the data effectively. …”
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Building an Associative Classification Data Model Based on the Apriori Method by K. V. Mulyukova, V. M. Kureichik

“…The module includes an intelligent data processing class. The structural scheme of the module and system architecture were developed. …”
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Big Data in traumatic brain injury; promise and challenges by Denes V Agoston, Dianne Langford

“…Traumatic brain injury (TBI) is a spectrum disease of overwhelming complexity, the research of which generates enormous amounts of structured, semi-structured and unstructured data. This resulting ...…”
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RETRACTED: Challenges and opportunities of big data analytics in healthcare by Priyanshi Goyal, Rishabha Malviya

“…Abstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. …”
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Data science applied to the assessment of biological variation estimates by Marques-Garcia Fernando, Nieto-Librero Ana, Gonzalez-García Nerea, Tejedor-Ganduxé Xavier, Martinez-Bravo Cristina

“…Data science is an umbrella term encompassing a set of tools and processes that make it possible to extract new information from structured or unstructured databases. …”
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Big Data in traumatic brain injury; promise and challenges by Denes V Agoston, Dianne Langford

“…Traumatic brain injury (TBI) is a spectrum disease of overwhelming complexity, the research of which generates enormous amounts of structured, semi-structured and unstructured data. This resulting big data has tremendous potential to be mined for valuable information regarding the “most complex disease of the most complex organ”. …”
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Memory-optimized distributed utility mining for big data by Sunil kumar, Krishna Kumar Mohbey

“…In recent days, social media, online services, smartphones, and the Internet of Things (IoT) produces large quantities of data every second. The generated data is structured, unstructured, or semi-structured and available in various formats. …”
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Data Management Competencies – A Need for Digital Age by Mihaela Cazacu, Emilia Titan, Mihaela Mihai

“…Implementation strategy plays an important role in digital transformation, both in adapting to digital changes and integrating new educational plans based on solid methodological tools. Data are becoming monetized business assets. Statista revealed that there will be just over 180zb of data produced by 2025 in the world, while Forbes shows that 95% of companies need to manage unstructured data. …”
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A spectral–structural characterization of European temperate, hemiboreal, and boreal forests by M. Rautiainen, A. Hovi, D. Schraik, D. Schraik, J. Hanuš, P. Lukeš, Z. Lhotáková, L. Homolová

“…In this data description paper, we present a dataset on the structural and spectral properties of 58 stands in temperate, hemiboreal, and boreal European forests. …”
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Network controllability mediates the relationship between rigid structure and flexible dynamics by Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric H. Xia, Ruben C. Gur, Raquel E. Gur, David R. Roalf, Theodore D. Satterthwaite, Dani S. Bassett

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Synchronization lag in post stroke: relation to motor function and structural connectivity by Xin Wang, Caio Seguin, Andrew Zalesky, Wan-wa Wong, Winnie Chiu-wing Chu, Raymond Kai-yu Tong

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Distributed and morphological operation-based data collection algorithm by Yalin Nie, Haijun Wang, Yujie Qin, Zeyu Sun

“…With this aim, we propose a distributed and morphological operation-based data collection algorithm. Inspired by the use of morphological erosion and dilation on binary images, the proposed distributed and morphological operation-based data collection algorithm calculates the structuring neighbors of each node based on the structuring element, and it produces an event-monitoring map of structuring neighbors with less cost and then determines whether to erode or not. …”
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Adaptive Sparse Transform for Wireless Sensor Network Data by Xuan Chen

“…Aiming at the change of sparse structure introduced by mobility of the wireless sensor network（WSN） nodes and noise in data transmission, an adaptive sparse transform method based on dictionary learning （DL）for WSN data was proposed. …”
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MODELING OF THE STAGES OF DEVELOPMENT OF THE COMPANY ON THE BASIS OF EMPIRICAL DATA by Ekaterina P. Mochalina, Galina V. Ivankova, Oleg V. Tatarnikov

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Audiogmenter: a MATLAB toolbox for audio data augmentation by Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

“…Design/methodology/approach – The authors structured our library into methods to augment raw audio data and spectrograms. …”
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Design of Failure Data Storage System Base on FPGA by 肖健, 班立权

“…This paper introduced hardware and software structure of NAND FLASH failure data storage system based on FPGA. …”
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Data algorithmic dependencies and their features vicissitude in relation sets by Birutė Pliuskuvienė, Petras Adomėnas

“… This article presents introduction of the new mechanism to the relation model, particularly algorithmic dependencies showing up among attributes, which are realization of concrete applicable task structured in primary data sets. The conception of algorithmic dependencies, classification, general expressions and changes are also defined. …”
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Proactive Data Categorization for Privacy in DevPrivOps by Catarina Silva, João P. Barraca, Paulo Salvador

“…Our approach uses a hierarchical, multi-tiered tree structure, encompassing direct data categorization, dynamic tags, and structural attributes. …”
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