In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize custom...
Abstract. Wireless Sensor Networks are edging closer to widespread feasibility with recent research showing promising results in developing and adapting new mechanisms to suit thei...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Spatial queries for extracting data from wireless sensor networks are important for many applications, such as environmental monitoring and military surveillance. One such query i...
When the environmental conditions are stable, a typical Wireless Sensor Network (WSN) application may sense and process very similar or constant data values for long durations. Thi...