This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
Low power is a primary concern in the field of wireless sensor networks. Bluetooth has often been labeled as an inappropriate technology in this field due to its high power consump...
In this paper1 we study the opportunities of commercial exploitation of applications based on sensor networks. Such applications are quite famous nowadays in many different domain...
Vassileios Tsetsos, George Alyfantis, Tilemahos Ha...
Abstract—We provide an overview of link scheduling algorithms in Spatial Time Division Access (STDMA) wireless mesh networks. These algorithms can be classified into three categ...
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...