Scientific literature recommender systems (SLRSs) provide papers to researchers according to their scientific interests. Systems rely on inter-researcher similarity measures that...
An important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. T...
Abstract—Querying non-conventional data sources is recognized as a major issue in new environments and applications such as those occurring in pervasive computing. A key issue is...
Personalization of learning has become a prominent issue in the educational field, at various levels. This article elaborates a different view on personalisation than what usually ...
Dominique Verpoorten, Christian Glahn, Milos Kravc...
— This paper addresses the multiple tasks performing issues for redundant nonholonomic mobile manipulators. An extended gradient projection redundancy resolution scheme is propos...