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MUQAMI: A Locally Distributed Key Management Scheme for Clustered Sensor Networks.

, , , , , and . IFIPTM, volume 238 of IFIP, page 333-348. Springer, (2007)

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Facial expression recognition using active contour-based face detection, facial movement-based feature extraction, and non-linear feature selection., , , , , and . Multimedia Syst., 21 (6): 541-555 (2015)Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches., and . CoRR, (2017)Exploratory Data Analysis of Acceleration Signals to Select Light-Weight and Accurate Features for Real-Time Activity Recognition on Smartphones., , and . Sensors, 13 (10): 13099-13122 (2013)Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields., , , , and . IEEE Trans. Image Processing, 24 (4): 1386-1398 (2015)Embedded Processor Security., , , , , , , , , and 6 other author(s). Security and Management, page 591-. CSREA Press, (2007)Activity Recognition on Smartphones via Sensor-Fusion and KDA-Based SVMs., , , and . IJDSN, (2014)Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification., , , and . VISIGRAPP (4: VISAPP), page 75-82. SciTePress, (2019)User and Task Identification of Smartwatch Data with an Ensemble of Nonlinear Symbolic Models., , , , and . CEC, page 2506-2513. IEEE, (2019)An active process for sensor-based activity data collection., and . CCECE, page 1536-1539. IEEE, (2011)MUQAMI: A Locally Distributed Key Management Scheme for Clustered Sensor Networks., , , , , and . IFIPTM, volume 238 of IFIP, page 333-348. Springer, (2007)