As multi-sourced information gives birth to new aspects of uncertainty, we explore emerging patterns in dealing with uncertainty in sources across structured, unstructured, and incomplete spatial data. We also illustrate how additional forms of information, such as secondary data and physical models, ...
The abundance of spatial and space–time data in many research fields has led to an increasing interest in the analytics of spatial data information. This development has renewed the attention to predictive spatial methodologies and advancing geostatistical tools. In this context, the present work rev...
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Accordingly, this study proposes a data-informed approach to planning urban greenway networks using a combination of classical urban design theories, multi-sourced urban data, and machine learning algorithms. Maoming City in China was used as a case study. Per classical urban design theories, ...
Dynamic Multi-sourced Persisted Enterprise Java Bean (EJB) instances are dynamically created on aJ2EE compliant Application Server to access data contained in multiple data source systems. This Dynamic Multi-sourced Persisted EJB is a general class responsible for dynamically aggregating source system info...
Data indicated both DE value and f2 factor were unable to discriminate the significant difference in relative bioavailability among the test formulations, although they could suggest in vivo bio-inequivalent risk to some extent. VURS is successfully explored to establish an IVIVC in beagle dogs with...
The main contributions of this work are: (1) a novel profiling approach which takes advantage of the multi-criteria crowdsourced data and builds pairwise trust models and (2) the k-NN prediction of user ratings using trust-based neighbour selection. Significant experimental work has been ...
Multichannel seismic profiles, integrated with data from the Venezia 1-CNR core, allow to investigate the very complex stratal architecture of the Plio-Pleistocene succession of the Venice area. Previous studies have documented that such a succession is mostly composed of turbidite-bearing deep-marine...
Accordingly, this study proposes a data-informed approach to planning urban greenway networks using a combination of classical urban design theories, multi-sourced urban data, and machine learning algorithms. Maoming City in China was used as a case study. Per classical urban design theories, ...