Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements etc., these kinds of uncertainty have to be handled cautiously, or else the mining results could be unreliable or even wrong. In this paper, we focus on class...

Stakeholder theory is a major approach to research on sustainability management. Firm characteristics, including corporate governance and business characteristics, can be represented in terms of their effects on stakeholders. In this study, a multi-regression model is used to examine the relationship between firm characteristics and the disclosure of sustainability reporting for the Taiwan 50 I...

ness: This means abstractness with respect to object identifiers (see Abstract Ids & Closed Maps (section 4.4.1) and Abstract Identifiers (how) (section 4.4.4)). When a closed map is uniformly renamed or is retrieved from the FDL, which is only guaranteed modulo renaming, there is no rechecking of certificates; they are treated like any other objects. Suppose, for example, that during a session...

Infrastructure-as-a-Service (IaaS), and more generally the “cloud,” like Amazon Web Services (AWS) or Microsoft Azure, have changed the landscape of system operations on the Internet. Their elasticity allows operators to rapidly allocate and use resources as needed, from virtual machines, to storage, to bandwidth, and even to IP addresses, which is what made them popular and spurred innovation....

Federated learning (FL) has attracted increasing attention as a promising approach to driving vast number of end devices with artificial intelligence. However, it is very challenging guarantee the efficiency FL considering unreliable nature while cost device-server communication cannot be neglected. In this paper, we propose SAFA, semi-asynchronous protocol, address problems in federated such l...

Fiercer competition between athletes and a wider knowledge of optimal training regimens dramatically influence current training methods. A single training bout per day was previously considered sufficient, whereas today athletes regularly train twice a day or more. Consequently, the number of athletes who are overtraining and have insufficient rest is increasing. Positive overtraining can be re...

Web applications rely on replicated databases to place data close to their users, and to tolerate failures. Many replication systems opt for eventual consistency, which offers excellent responsiveness and availability, but may expose applications to the complexity of concurrency and failures. To alleviate this problem, recent replication systems have begun to strengthen their interface with add...

Propelled by multi-user MIMO (MU-MIMO) technology, unmanned aerial vehicles (UAVs) as mobile hotspots have recently emerged an attractive wireless communication paradigm. Rate adaptation (RA) becomes indispensable to enhance UAV robustness against mobility-induced channel variances. However, existing MU-MIMO RA algorithms are mainly designed for ground communications with relatively stable cohe...