The concept of trust and/or trust management has received considerable attention in
engineering research communities as trust is perceived as the basis for decision making in …

An in-depth understanding of uncertainty is the first step to making effective decisions under
uncertainty. Machine/deep learning (ML/DL) has been hugely leveraged to solve complex …

This study investigates the various risk factors that alter online shopping behavior in Kuwait,
during the COVID-19 pandemic. Online questionnaires were distributed through various …

Trustworthy transmission is a beneficial step toward the success of the new era of
telecommunication technologies and online social networks (OSNs). Many sensitive …

Trust is widely recognized as a vital requirement for effective virtual enterprises. However,
there exists the requirement for a comprehensive and integrated view on trust in the VEs …

We study the problem of affective content analysis. In this paper, we think of affective
contents as those video/audio segments, which may cause an audience's strong reactions …

Compared with other security technologies of the Internet of Things (IoT), trust management
(TM) can accommodate sudden or unpredictable changes brought about by ethical and …

Having many advantages that traditional shopping lack of, online shopping is now enjoying
its predominance and rapid development in Malaysia. In many previous researches, focus …

In this paper, we use a combination of fuzzy analytic hierarchy process and fuzzy VIKOR
approaches from the domain of multi-criteria decision making to formulate trust. The VIKOR …

Abstract Machine learning (ML) techniques provide the learning capability to a system and
encourage adaptation into the environment, based upon many logical and statistical …