This paper presents the results of an experimental study that evaluated the ability of quantum neural networks (QNNs) to capture and quantify uncertainty in data and compared their performance with that of conventional feedforward neural networks (FFNNs). In this work, QNNs and FFNNs were trained to classify short segments of epileptic seizures in neonatal EEG. The experiments revealed signific...

This paper argues that the implications of globalization for monetary policy come mainly through two channels: On the one hand, the many structural changes, which are associated with the globalization process, cause an increase in uncertainty surrounding monetary policy. This leads to an increase in uncertainty about how to interpret macroeconomic data/indicators and about the monetary transmis...

The role of sustainability dimensions in the value creation process has received much attention. Adopting a proper set of key performance indicators sustainability leads to accurate calculation of chain value. This paper focuses on the dimensions of in the biofuel supply chain and seeks to evaluate the value in the chain. First, the importance of biofuels and its various types are discussed. Th...

This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an IKONOS satellite image, generated by two fuzzy classifiers, based, respectively, on the Nearest Neighbour Classifier and the Minimum Distance to Means Classifier. The deviation of the geographic unit characteristics f...

This document specifies Dynamic Host Configuration Protocol options (both DHCPv4 and DHCPv6) for the coordinate-based geographic location of the client. The Location Configuration Information (LCI) includes Latitude, Longitude, and Altitude, with resolution or uncertainty indicators for each. Separate parameters indicate the reference datum for each of these values. This document obsoletes RFC ...

Estimation of uncertainty in odour measurement is essential to the interpretation of the measurement results. The fundamental procedure for the estimation of measurement uncertainty comprises the specification of the measurement process, expression of the measurement model and all influences, evaluation of the standard uncertainty of each component, calculation of the combined standard uncertai...

In contexts where healthcare regulation is weak and levels of uncertainty high, how do patients decide whom and what to trust? In this paper, we explore the potential for using Signalling Theory (ST, a form of Behavioural Game Theory) to investigate health-related trust problems under conditions of uncertainty, using the empirical example of 'herbal clinics' in Ghana and Tanzania. Qualitative, ...

Long term business success highly depends to how fast a company reacts on changes in the market situation. Those who want to be successful need relevant, up-to-date, and accurate information. Business or economic decisions rely on indicators. One facet of data quality is the integrity of data. Most of the main business and economic indicators suffer from statistical discrepancies. These indicat...

This paper analyzes correlations and causalities between Bitcoin market indicators and Twitter posts containing emotional signals on Bitcoin. Within a timeframe of 104 days (November 23 2013 March 7 2014), about 160,000 Twitter posts containing ”bitcoin” and a positive, negative or uncertainty related term were collected and further analyzed. For instance, the terms ”happy”, ”love”, ”fun”, ”goo...

BACKGROUND The most common way of accounting for the countryside in health studies has been to compare it, as a whole, to the city. Furthermore, most of the work on small area health inequalities has been confined to major urban centres. To counter this trend, in this paper, we explore small area health inequalities in the predominantly rural county of Portneuf (population = 44,545), Québec. Su...