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Rana Abdollahi Rizi, Hamed Sangin, Kiana Haghighatnejad Chobari, Ahmad Eltaweel and Robyn Phipps
The future of building envelope design lies in smart adaptation. The current literature overlooks the crucial integration of airflow, ventilation and daylighting in adaptive façade design. Moreover, it neglects the occupants? locations, activities and in...
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Milena Vuckovic, Johanna Schmidt, Thomas Ortner and Daniel Cornel
The application potential of Visual Analytics (VA), with its supporting interactive 2D and 3D visualization techniques, in the environmental domain is unparalleled. Such advanced systems may enable an in-depth interactive exploration of multifaceted geos...
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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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Ye Li and Hongxiang Ren
The widespread of shipborne Automatic Identification System (AIS) equipment will continue to produce a large amount of spatiotemporal trajectory data. In order to explore and understand the hidden behaviour patterns in the data, an interactive visual ana...
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Liz Huancapaza Hilasaca, Milton Cezar Ribeiro and Rosane Minghim
Labeling of samples is a recurrent and time-consuming task in data analysis and machine learning and yet generally overlooked in terms of visual analytics approaches to improve the process. As the number of tailored applications of learning models increa...
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Muhammad Jawad, Jens Soltwisch, Klaus Dreisewerd and Lars Linsen
Mass spectrometry imaging (MSI) is an imaging technique used in analytical chemistry to study the molecular distribution of various compounds at a micro-scale level. For each pixel, MSI stores a mass spectrum obtained by measuring signal intensities of t...
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Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo and Erik Linstead
Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired Car...
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Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg and Eric McArthur
Recent advancement in EHR-based (Electronic Health Record) systems has resulted in producing data at an unprecedented rate. The complex, growing, and high-dimensional data available in EHRs creates great opportunities for machine learning techniques such...
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Xuequan Zhang, Jin Liu, Zihe Hu and Ming Zhong
The flow in meandering rivers is characterized by rapid changes in flow velocity and water level, especially in flooded environments. Accurate cross-sectional observation data enable continuous monitoring of flow conditions, which is important for river ...
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Xuefeng Guan, Chong Xie, Linxu Han, Yumei Zeng, Dannan Shen and Weiran Xing
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Research...
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