Miguel A. Labrador, Ph.D.
Affiliations: | 2000 | University of Pittsburgh, Pittsburgh, PA, United States |
Area:
Computer Science, Information ScienceGoogle:
"Miguel Labrador"Parents
Sign in to add mentorSujata Banerjee | grad student | 2000 | University of Pittsburgh | |
(Buffer management and quality of service predictability for best effort traffic.) |
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Publications
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Vergara-Laurens IJ, Jaimes LG, Labrador MA. (2017) Privacy-Preserving Mechanisms for Crowdsensing: Survey and Research Challenges Ieee Internet of Things Journal. 4: 855-869 |
Valcourt L, Hoz YDL, Labrador M. (2016) Smartphone-based Human Fall Detection System Ieee Latin America Transactions. 14: 1011-1017 |
Vergara-Laurens IJ, Mendez D, Jaimes LG, et al. (2016) A-PIE: An algorithm for preserving privacy, quality of information, and energy consumption in Participatory Sensing Systems Pervasive and Mobile Computing. 32: 93-112 |
Delahoz YS, Labrador MA. (2014) Survey on fall detection and fall prevention using wearable and external sensors. Sensors (Basel, Switzerland). 14: 19806-42 |
Yurur O, Labrador M, Moreno W. (2014) Adaptive and energy efficient context representation framework in mobile sensing Ieee Transactions On Mobile Computing. 13: 1681-1693 |
Mendez D, Labrador MA. (2013) On sensor data verification for participatory sensing systems Journal of Networks. 8: 576-587 |
Lara OD, Labrador MA. (2013) A survey on human activity recognition using wearable sensors Ieee Communications Surveys and Tutorials. 15: 1192-1209 |
Mendez D, Labrador M, Ramachandran K. (2013) Data interpolation for participatory sensing systems Pervasive and Mobile Computing. 9: 132-148 |
Tran K, Barbeau S, Hillsman E, et al. (2013) GO_Sync - A Framework to Synchronize Crowd-Sourced Mapping Contributors from Online Communities and Transit Agency Bus Stop Inventories International Journal of Intelligent Transportation Systems Research. 11: 54-64 |
Lara OD, Prez AJ, Labrador MA, et al. (2012) Centinela: A human activity recognition system based on acceleration and vital sign data Pervasive and Mobile Computing. 8: 717-729 |