Construction and Research of Guqin Sound Synthesis and Plucking Big Data Simulation Model Based on Computer Synthesis Technology by MingQing Liu

“…The computer composition technology uses the discrete dynamic modeling technology of complex system to complete the computer simulation of Guqin sound through the analysis of the correlation between Guqin music data and realizes the storage and analysis of the generated Guqin sound data. …”
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The Impact of Data Source on the Ranking of Computer Scientists Based on Citation Indicators: A Comparison of Web of Science and Scopus. by Li Zhang

“…This study explores whether or not the addition of the Conference Proceedings Citation Indexes to Web of Science has changed the citation analysis results when compared to Scopus. It compares the citation data of 25 randomly selected computer science faculty in Canadian universities in Web of Science (with Conference Proceedings Citation Indexes) and Scopus. …”
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Enabling health data analyses across multiple private datasets with no information sharing using secure multiparty computation by Aziz Sheikh, Cathie Sudlow, Chris Robertson, Steven Kerr

“…FA involves distributed data analysis without sharing raw data but does require sharing summary statistics. …”
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Predictive Analysis of Maritime Congestion Using Dynamic Big Data and Multiscale Feature Analysis by Yalin Wu

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Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning by Yuri Gordienko, Nikita Gordienko, Vladyslav Taran, Anis Rojbi, Sergii Telenyk, Sergii Telenyk, Sergii Stirenko

“…Analysis of electroencephalography (EEG) signals gathered by brain–computer interface (BCI) recently demonstrated that deep neural networks (DNNs) can be effectively used for investigation of time sequences for physical actions (PA) classification. …”
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Adaptive Weighted Diversity Ensemble Learning Approach for Fetal Health Classification on Cardiotocography Data by K. Aditya Shastry, Mohan Sellappa Gounder, T. G. Mohan Kumar, D. U. Karthik, V. Sushma, D. Subashree

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Autoencoder neural network-based abnormal data detection in edge computing enabled large-scale IoT systems by Tianqi YU, Yongxu ZHU, Xianbin WANG

“…Given the advantages of low cost and easy deployment,large-scale Internet of things (IoT) has been deployed for environment monitoring pervasively.Within such systems,cloud platform is typically utilized as a remote data and control center.However,tremendous amount of data uploading and processing induce huge challenges on bandwidth load and real-time data gathering.In order to overcome these challenges,edge computing enabled IoT system architecture was proposed for environmental monitoring.As the intermediate layer,local processing could be supported for end devices with low latency and assist with preliminary analysis to offload computational tasks from cloud and the amount of data uploading could be reduced.Based on this system architecture,an autoencoder neural network-based abnormal data detection scheme was developed newly.Performance evaluation has been conducted based on the practical oceanic atmospheric data.Simulation results indicate that the proposed scheme can accurately detect the abnormal data by fully exploiting the spatial data correlation.…”
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Secure distributed data integrity auditing with high efficiency in 5G-enabled software-defined edge computing by Dengzhi Liu, Zhimin Li, Dongbao Jia

“…To enhance the security of the data storage in edge computing, a secure distributed data integrity auditing is proposed. …”
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Combining Optical Scanning and X-Ray Computed Tomography Data for Modeling the Internal and External Geometries of Cultural Artifacts by Young-Hoon Jo, Dasol Kim, Nyamsuren Davaadorj

“…Recording the internal and external shapes of an artifact separately using different digital technologies is inefficient from a data management perspective and limits comprehensive geometric analysis. …”
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Computing the COVID-19 Basic and Effective Reproduction Numbers Using Actual Data: SEIRS Model with Vaccination and Hospitalization by Svetozar Margenov, Nedyu Popivanov, Tsvetan Hristov, Veneta Koleva

“…Furthermore, a parameter identification approach has been used to develop a numerical method to compute these numbers for long-term epidemics. We analyze the actual COVID-19 data from the USA, Italy, and Bulgaria to solve appropriate inverse problems and gain an understanding of the time evolution behavior of the basic and effective reproduction numbers. …”
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Ranking data privacy techniques in cloud computing based on Tamir’s complex fuzzy Schweizer-Sklar aggregation approach by Jabbar Ahmmad, Hamiden Abd El-Wahed Khalifa, Hafiz Muhammad Waqas, Alhanouf Alburaikan, Taha Radwan

“…Moreover, we provided an illustrative example and case study for the developed theory to show the ranking of data privacy techniques in cloud computing. At the end of the manuscript, we discuss the comparative analysis to show the supremacy of the introduced work.…”
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A Gap Analysis Framework for an Open Data Portal Assessment Based on Data Provision and Consumption Activities by Sahaporn Sripramong, Chutiporn Anutariya, Patipat Tumsangthong, Theerawat Wutthitasarn, Marut Buranarach

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Data quality evaluation: a comparative analysis of company registers’ open data in four European countries by Janis Bicevskis, Zane Bicevska, Anastasija Nikiforova, Ivo Oditis

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Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…However, its application in computational material science remains underexplored, despite the increasing need for automated microstructure analysis and defect detection. …”
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CyclicAugment: Optimized Medical Image Analysis via Adaptive Augmentation Intensity by Min-Jun Kim, Jung-Woo Chae, Hyun-Chong Cho

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Adoption of Industry 4.0 Technologies in Chilean Mining: A Comparative Analysis Between Sectors by Mauricio Castillo-Vergara, Rodrigo Ortiz-Henríquez, Cristian Geldes, Víctor Muñoz-Cisterna, Claudio Escobar-Arriagada

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Optimizing UK biobank cloud-based research analysis platform to fine-map coronary artery disease loci in whole genome sequencing data by Letitia M.F. Sng, Anubhav Kaphle, Mitchell J. O’Brien, Brendan Hosking, Roc Reguant, Johan Verjans, Yatish Jain, Natalie A. Twine, Denis C. Bauer

“…Aligning with the paradigm shift of bringing compute to data, we demonstrate a 44% cost reduction and 94% speedup through compute architecture optimisation on UK Biobank’s Research Analysis Platform using our RAPpoet approach. …”
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A benchmark for computational analysis of animal behavior, using animal-borne tags by Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender

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A new hybrid method for data analysis when a significant percentage of data is missing by Behrouz Fathi-Vajargah, Ahmad Nouraldin

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Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis by R. Nandhini Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Usman Tariq, Chuan-Yu Chang

“…The massive data generated today is one of the driving factors for the tremendous growth of computer vision. …”
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