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Christoph Erlacher, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus and Thomas Blaschke
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the nu...
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Marco Ferretti, Serena Nicolazzo and Antonino Nocera
Sharing data and services in the Internet of Things (IoT) can give rise to significant security concerns with information being sensitive and vulnerable to attacks. In such an environment, objects can be either public resources or owned by humans. For th...
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Hafiz Suliman Munawar, Ahmed W. A. Hammad, Assed Haddad, Carlos Alberto Pereira Soares and S. Travis Waller
Annually, millions of dollars are spent to carry out defect detection in key infrastructure including roads, bridges, and buildings. The aftermath of natural disasters like floods and earthquakes leads to severe damage to the urban infrastructure. Mainte...
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Shobhit Chaturvedi, Elangovan Rajasekar and Sukumar Natarajan
Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint in the Global South. This paper presents the application of a non-dominated sorting genetic (NSGA II) algorithm for multi-objective b...
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István Waltner, Sahar Saeidi, János Grósz, Csaba Centeri, Annamária Laborczi and László Pásztor
As soil erosion is still a global threat to soil resources, the estimation of soil loss, particularly at a spatiotemporal setting, is still an existing challenge. The primary aim of our study is the assessment of changes in soil erosion potential in Hung...
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