Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Multinational logistics cooperation is essential for reducing the collective logistics footprint, optimizing resource usage and enhancing interoperability in military operations. ...
Ahmed Ghanmi, Gregory B. Campbell, Thomas A. Gibbo...
Abstract--This paper proposes client-centric fractional frequency reuse (CC-FFR) techniques for interference mitigation in OFDMA-based cellular wireless networks. In this framework...
Timetabling problems are constraint optimization problems proven to be NP complete. Furthermore, evaluation of violations is costly, and there is no common data format for represen...
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...