Abstract Models trained for classification often assume that all testing classes are known
while training. As a result, when presented with an unknown class during testing, such …

The generalized extreme value distribution (GEVD) and various extreme value distributions
are commonly applied in air pollution, telecommunications, operational risk management …

Rapid growth of the use of wind energy calls for a more careful representation of wind speed
probability distribution, both for identification and estimation purposes. In particular, a key …

Survival and reliability analyses deal with incomplete failure time data, such as censored
and truncated data. Recently, the classical left-truncation scheme was generalized to …

The recent research trends for achieving ultra-reliable and low-latency communication
networks are largely driven by smart manufacturing and industrial Internet-of-Things …

For the first time, a four-parameter lifetime model, called the gamma extended Fréchet
distribution, is defined and studied. We obtain some of its mathematical properties. Explicit …

The availability of sophisticated source attribution techniques raises new concerns about
privacy and anonymity of photographers, activists, and human right defenders who need to …

The concurrent occurrence of extreme events can significantly impact societies and
infrastructure systems, especially when the instructions provided to the exposed …

While our recent deep fuzzy classifier DSA-FC, which stacks adversarial interpretable
Takagi–Sugeno–Kang fuzzy subclassifiers, shares its promising classification, its training …

Within this study, an analysis of the global standard panorama for wave energy converters
(WECs) is presented, in order to develop design methodologies as close as possible to the …