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Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
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Manos Garefalakis, Zacharias Kamarianakis and Spyros Panagiotakis
As it concerns remote laboratories (RLs) for teaching microcontroller programming, the related literature reveals several common characteristics and a common architecture. Our search of the literature was constrained to papers published in the period of ...
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Piriziwè Kobina, Thierry Duval and Laurent Brisson
In this paper, we present a new egocentric metaphor for graph visualization that consists in positioning a graph between two concentric spheres of different radii. It improves the expansion of nodes in space, contrary to 3D spatialization algorithms. The...
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Leny Vinceslas, Safak Dogan, Srikumar Sundareshwar and Ahmet M. Kondoz
By design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this...
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Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
The increasing availability of vast quantities of data from various sources significantly impacts the insurance industry, although this industry has always been data driven. It accelerates manual processes and enables new products or business models. On ...
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Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer and Rui Zhu
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic fo...
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Konstantinos Kotis and Andreas Soularidis
Unmanned aerial vehicles (UAVs), also known as drones, are important for several application domains, such as the military, agriculture, cultural heritage documentation, surveillance, and the delivery of goods/products/services. A drone?s trajectory can ...
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Isam Mashhour Al Jawarneh, Luca Foschini and Paolo Bellavista
Numerous real-life smart city application scenarios require joint analytics on unified views of georeferenced mobility data with environment contextual data including pollution and meteorological data. particularly, future urban planning requires restric...
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Thomas T. H. Wan and Hunter S. Wan
Context. This commentary is based on an innovative approach to the development of predictive analytics. It is centered on the development of predictive models for varying stages of chronic disease through integrating all types of datasets, adds various n...
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Alexandr A. Kalinin, Selvam Palanimalai, Junqi Zhu, Wenyi Wu, Nikhil Devraj, Chunchun Ye, Nellie Ponarul, Syed S. Husain and Ivo D. Dinov
Many systems for exploratory and visual data analytics require platform-dependent software installation, coding skills, and analytical expertise. The rapid advances in data-acquisition, web-based information, and communication and computation technologie...
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