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PERCOM
2007
ACM
14 years 4 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
INFOCOM
2009
IEEE
13 years 11 months ago
Delay-Optimal Opportunistic Scheduling and Approximations: The Log Rule
—This paper considers the design of opportunistic packet schedulers for users sharing a time-varying wireless channel from the performance and the robustness points of view. Firs...
Bilal Sadiq, Seung Jun Baek, Gustavo de Veciana
WSNA
2003
ACM
13 years 10 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath