The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…ObjectiveVisual inspection is an important technology for the roadside perception of vehicle-road cooperative. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training process. This strengthens the visual capturing of spatial relationships, and as a result the correlation rate between air temperature and building volume data is also increased. …”
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Efficient service provider or committed social reformer?: Government data storytelling around city data projects by Seolha Lee, Rachel Warren, Melissa Mazmanian

“…In contrast, the emerging narratives of social reform suggest city governments as leaders committed to tackling structural injustices through data-driven approaches and invite the public to interrogate their data work through interactive, open-ended data visualizations. …”
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Seeing Our World Through Data: Sixth Graders Integrating Data Investigations in Collaborative Knowledge Building by Bodong Chen, Leanne Ma, Vivian Yu Leung

“…Findings revealed that, with appropriate pedagogical and technological supports, 6th-grade students were able to engage in a range of data practices when working with public datasets, derive meaningful interpretations of data visualizations, and contribute to theory-building discussions informed by their data investigations. …”
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Data-driven thermal analysis of indoor cooling for a thermoelectric radiant panel systemMendeley Data by Muhammad ‘Amir Roslan, Farah Liana Mohd Redzuan

“…The collected data was then simplified into graph form for easier interpretation and analysis, including an evaluation of compliance with thermal comfort standards such as ASHRAE Standard 55 and MS 1525. …”
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A hybrid steganography framework using DCT and GAN for secure data communication in the big data era by Kaleem Razzaq Malik, Muhammad Sajid, Ahmad Almogren, Tauqeer Safdar Malik, Ali Haider Khan, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…Abstract The growth of the internet and big data has spurred the demand for more extensive information hoarding to store and distribute information. …”
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The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch by Meyer Z. Pesenson, Isaac Z. Pesenson, Bruce McCollum

“…Mathematical limitations of familiar algorithms and techniques in dealing with such data sets create a critical need for new paradigms for the representation, analysis and scientific visualization (as opposed to illustrative visualization) of heterogeneous, multiresolution data across application domains. …”
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Technology for collecting and analyzing relational data by E. N. Fedorova, G. M. Ruzhnikov, R. K. Fedorov

“…To change the form visualization, you can use the form template. The data can be viewed page by page in a table. …”
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Exploring the concept of digital twins of wetlands for supporting ecosystem monitoring and management by Bing Lu, Lucie Francescutto, Sarah Howie, Hui Lin, Qiusheng Wu, Nicholas Hedley, Ali Jamali, Ian McDonald

“…Meanwhile, comprehensive monitoring is challenging due to difficulties in collecting various wetland data (e.g. in situ hydrological and ecological data, remote sensing images), data analysis using diverse models (e.g. physically based and data-driven), and data visualization. …”
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The Logarithmic Derivative in Scientific Data Analysis by Ruediger Grunwald

“…The logarithmic derivative has been shown to be a useful tool for data analysis in applied sciences because of either simplifying mathematical procedures or enabling an improved understanding and visualization of structural relationships and dynamic processes. …”
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Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

“…Interpretation tasks include forecasting, classification, clustering, association, sequence search, data visualization, and variance analysis. The difficulty lies in the fact that the data itself can differ not only in terms of format, but also in terms of its structure. …”
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The Pierre Auger Observatory open data by Pierre Auger Collaboration

“…The Open Data Portal includes detailed documentation about the detection and reconstruction procedures, analysis codes that can be easily used and modified and, additionally, visualization tools. …”
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Image dataset: UAV images and ground data of one ‘Bingo’ mandarin and two ‘Valencia’ orange rootstock trials conducted in FloridaAg Data CommonsAg Data Commons by Randall P. Niedz, Kim D. Bowman

“…The data will be useful for 1) visualizing the effects of different rootstock selections and varieties on scion growth, effects that may not be fully captured with single measure metrics; and 2) development of image analysis applications and segmentation algorithms that can extract data from the images that are suitable for replacing some or all the ground measures.…”
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Diagnostic accuracy of endoscopy for the detection of isthmuses of mandibular molar teeth using micro-CT as reference by Ali Keleş, Cangül Keskin, Rawan Alqawasmi, Kaan Gündüz, Hikmet Aydemir

“…The specimens were mounted in the posterior socket of dental phantom manikin for endoscopic visualisation. The ability of endoscopes to visualize the presence of isthmuses and distinguish the type of isthmuses was compared. …”
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The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making by Shonda Kuiper, Abhishek Chakraborty, Tyler George, Lisa W. Kay, Lawrence M. Lesser, Ginger Rowell, Dennis Pearl, Scott Crawford, Anna Olsen

“…This article describes a collaborative project across multiple institutions to compare two versions of a regression activity: (a) a website version that collected student data through an online simulation with corresponding apps for visualization and (b) a traditional paper handout version that had a static dataset. …”
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Summary of the 14th IAEA Technical Meeting on Control Systems, Data Acquisition, Data Management and Remote Participation by Joshua Stillerman, Didier Mazon, Matteo Barbarino, Palak Jain, Wanderley Pires de Sa, Bingjia Xiao, Axel Winter, Fernando Santoro, Hideya Nakanishi

“…Key topics included plasma control and simulation, machine control, monitoring, safety and remote manipulation, data acquisition and signal processing, machine learning, data storage and retrieval, distribution and visualization. …”
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Influential publications in sudden hearing loss: a bibliometric and visual synopsis of the top 100 cited articles by Xueshi Di, Junjie Liang, Xinru Wang, Xue Bai, Chongyang Zhang, Ting Pan, Tiantian He, Peng Bai

“…Tools such as CiteSpace and VOSviewer were employed to visualise data on countries, institutions, authors, co-cited authors, journals, co-cited journals, co-cited references, and keywords.ResultsThe citations of the 100 most cited articles ranged from 59 to 760, with publications spanning from 1999 to 2021 and peaking in 2005. …”
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Building a FAIR data ecosystem for incorporating single-cell transcriptomics data into agricultural genome to phenome research by Muskan Kapoor, Enrique Sapena Ventura, Amy Walsh, Alexey Sokolov, Nancy George, Sunita Kumari, Nicholas J. Provart, Benjamin Cole, Marc Libault, Timothy Tickle, Wesley C. Warren, James E. Koltes, Irene Papatheodorou, Irene Papatheodorou, Doreen Ware, Doreen Ware, Peter W. Harrison, Christine Elsik, Galabina Yordanova, Tony Burdett, Christopher K. Tuggle

“…This JBrowse tool now features distinct tracks, showcasing PBMC scRNA-seq alongside two bulk RNA-seq experiments.DiscussionWe intend to further build upon these existing tools to construct a scientist-friendly data resource and analytical ecosystem based on Findable, Accessible, Interoperable, and Reusable (FAIR) SC principles to facilitate SC-level genomic analysis through data ingestion, storage, retrieval, re-use, visualization, and comparative annotation across agricultural species.…”
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Advancing Water Quality Management: An Integrated Approach Using Ensemble Machine Learning and Real-Time Interactive Visualization by Jigna K. Pandya, Suresh S. Khandelwal, Rupesh Kumar Tipu, Kartik S. Pandya

“…Traditional methods for predicting water quality often lack accuracy and robustness due to limitations in data availability and model complexity. This study presents a novel approach to predicting water potability by developing an advanced ensemble model and an interactive visualization dashboard. …”
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Analytical review of visualization methods for launch and landing of spacecraft with consideration of 64-bit system boundary value issues by Oleksii Vynokur, Iryna Perova, Polina Zhernova

“…The subject matter of this article is the contemporary software solutions used for modeling and visualizing spacecraft missions, specifically during the stages of launch, flight, and landing. …”
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