The performance of artificial neural networks (ANNs) is highly influenced by the selection input variables and architecture defined hyper parameters such as number neurons in hidden layer connections between network variables. Although there are some black-box trial error based studies literature to deal with these issues, it fair state that a rigorous systematic method providing global unique ...

This study examines the impact of three macro uncertainty factors: economic policy (EPU), political instability (PIS), and cultural avoidance (UA), on corporate environmental, social governance (ESG) performance carbon emission reduction targets. Additionally, we examine whether these factors are affected by profitability company. Using an unbalanced sample companies located in USA, China, UK d...

This article presents the results of a study concerning the use of online profile pages by adolescents to know more about "offline" friends and acquaintances. Previous research has indicated that social networking sites (SNSs) are used to gather information on new online contacts. However, several studies have demonstrated a substantial overlap between offline and online social networks. Hence,...

We present a novel method to visualize registration uncertainty and a simple study to motivate the use of uncertainty visualization in computer-assisted surgery. Our visualization method resulted in a statistically significant reduction in the number of attempts required to localize a target, and a statistically significant reduction in the number of targets that our subjects failed to localize...

This chapter presents an overview of Model Order Reduction – a new paradigm in the field of simulationbased engineering sciences, and one that can tackle the challenges and leverage the opportunities of modern ICT technologies. Despite the impressive progress attained by simulation capabilities and techniques, a number of challenging problems remain intractable. These problems are of different ...

In this paper the problem of retrieving wind field information from Doppler radar data motivates the formulation of a method to design radar network configurations. The problem of estimating wind velocities from radar data is posed and used to construct a certain retrieval operator. This operator contains a factor that may be interpreted as an uncertainty multiplier. It depends on the geometry ...

As a measure to manage the climate impact of aviation, significant enhancements to aviation technologies and operations are necessary. When assessing these enhancements and their respective impacts on the climate, it is important that we also quantify the associated uncertainties—this is important to support an effective decision and policy making process. However, such quantification of uncert...

In this paper we propose a sensing strategy to determine the 3D location of a straight line with a mobile camera on a robot hand. This strategy balances the trade-oo between the uncertainty reduction and the matching problem when a line is observed. It avoids integrating images that do not reduce the uncertainty location of the line. At every step, the next camera movement is computed from the ...