Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
A repetitive sequence collection is one where portions of a base sequence of length n are repeated many times with small variations, forming a collection of total length N. Example...
This paper investigates two fundamental characteristics of a wireless multihop network: its minimum node degree and its k?connectivity. Both topology attributes depend on the spat...
rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
This paper proposes a dynamic trust establishment protocol that enables the nodes of an ad hoc network to establish security associations among each other in a distributed and pee...
Christos A. Papageorgiou, Konstantinos Birkos, Tas...