Data Driven Program Planning for GIS Instruction. by Edith Scarletto

“… This study used both focus groups (qualitative) and survey data (quantitative) to develop and expand an instruction program for GIS services. …”
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An Introduction to Freely Available Street Network Data by Hartwig H. Hochmair, Dennis Zielstra

“…It discusses the benefits and limitations of each dataset, including data quality, completeness, and applications in GIS projects. …”
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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Most authors divided their data sets into 60–90% for training and 10–40% for testing. …”
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nD-PointCloud Data Management by Haicheng Liu

“… In the Geomatics domain, a point cloud refers to a data set that records the coordinates and other attributes of a huge number of points. …”
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Distorted insights from human mobility data by Riccardo Gallotti, Davide Maniscalco, Marc Barthelemy, Manlio De Domenico

“…Abstract The description of human mobility is at the core of many fundamental applications ranging from urbanism and transportation to epidemics containment. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…In data science and machine learning, efficient and scalable algorithms are paramount for handling large datasets and complex tasks. …”
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Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

“…The expanding accessibility of large VF databases has led to a surge in studies investigating various applications of big data analytics in glaucoma. In this study, we review the use of big data for evaluating the reliability of VF tests, gaining insights into real-world clinical practices and outcomes, understanding new disease associations and risk factors, characterizing the patterns of VF loss, defining the structure–function relationship of glaucoma, enhancing early diagnosis or earlier detection of progression, informing clinical decisions, and improving clinical trials. …”
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Educational Data Mining: A Foundational Overview by Ilias Papadogiannis, Manolis Wallace, Georgia Karountzou

“…This paper outlines the evolution, significance, and applications of EDM. With the increasing popularity of e-learning in web-based educational systems, EDM has expanded to include a variety of analytical methods and data sources. …”
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Traffic Prediction with Data Fusion and Machine Learning by Juntao Qiu, Yaping Zhao

“…Although some studies have attempted to introduce multimodal data, they mostly rely on resource-intensive deep neural network architectures, which have difficultly meeting the demands of practical applications. …”
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Verification of Data Races in Concurrent Interrupt Handlers by Guy Martin Tchamgoue, Kyong Hoon Kim, Yong-Kee Jun

“…An empirical evaluation of i Race revealed the presence of data races in some existing TinyOS components and applications with a worst-case slowdown of only about 6 times on average and an increased average memory consumption of only about 20% in comparison with the original program execution. …”
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Inferring species extinction from sighting data by Rachel S. McCrea, Thomas Cheale, Eduard Campillo-Funollet, David L. Roberts

“…For the vast majority of species our understanding of their existence is based solely on sighting data that can range from museum specimens and clear photographs, through vocalisations, to markings and oral accounts. 3. …”
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Survey of differentially private methods for trajectory data by SUN Xinyue, ZHANG Weizhe, HE Hui, YANG Renyu

“…These privacy concerns led to reluctance in sharing trajectory data, hindering the development of location-based services and applications. …”
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Domain question-driven Linked Data modeling by Sofia Baroncini, Marilena Daquino, Francesca Tomasi

“…Currently, there is an increasing interest in experimenting with applications of computer science to humanistic disciplines. …”
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Using Big Data Technology to Protect the Environment by Dovgal Vitaly, Kuizheva S.

“…This article describes several extremely promising applications of large data sets and their analytics, which can help achieve the goals of environmental protection and sustainable development, provide environmental benefits, help research on the environment, its conservation and protection. …”
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Broken Stick Model for Irregular Longitudinal Data by Stef van Buuren

“… Many longitudinal studies collect data that have irregular observation times, often requiring the application of linear mixed models with time-varying outcomes. …”
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The Canadian Geospatial Data Infrastructure and health mapping by Sheng Gao, Darka Mioc, Xiaolun Yi, François Anton, Eddie Oldfield, David J. Coleman

“…The use of the CGDI in health applications has a great potential in supporting effective and secure health data sharing and integration. …”
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Nonparametric expectile shortfall regression for functional data by Almanjahie Ibrahim M., Abood Hanan, Bouzebda Salim, Alshahrani Fatimah, Laksaci Ali

“…A key feature of our contribution is the straightforward implementation of the estimator, demonstrated through applications on both simulated and real data. Our findings indicate that the new ES-expectile model is more effective than the standard model based on quantile regression, offering improved relevance in financial risk management.…”
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Heterogeneous bioinformatic data encryption on portable devices by Hao Chen, Xiayun Hong, Yao Cheng, Xiaotong Wang, Liyan Chen, Xuan Cheng, Juncong Lin

“…Abstract With the popularity of mobile health monitoring and genome sequencing techniques, the scale of biomedical and genomic data grow rapidly, with their privacy receiving more and more concerns. …”
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THE CONTRIBUTION OF THE OPEN DATA TO THE DEVELOPMENT OF THE SMART CITIES by Eleftheria KOLOKYTHA, Georgios KOLOKYTHAS, Stavros VALSAMIDIS, Giannoula FLOROU

“…Within this context, the term of the smart city resurfaced. In addition the open data projects encourage citizens or users to develop applications and digital services with the reuse of public data, in order to improve the quality and level of participation of public services. …”
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