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A hardware and software Web-based environment for Energy Consumption analysis in mobile devices.

, , , and . NCA, page 242-245. IEEE Computer Society, (2016)

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Bounds on the capacity of the blockwise noncoherent APSK-AWGN channels., and . ISIT, page 627-630. IEEE, (2005)On the complexity-performance trade-off in soft-decision decoding for unequal error protection block codes., , and . EURASIP J. Adv. Signal Process., (2013)A proposal of an RF fingerprint-based outdoor localization technique using irregular grid maps., , and . WCNC, page 1-6. IEEE, (2018)Identifying power consumption signatures in LTE conformance tests using machine learning., , , , , and . LASCAS, page 1-4. IEEE, (2018)Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems., , and . IJCNN, page 1-8. IEEE, (2018)A scalable fingerprint-based angle-of-arrival machine learning approach for cellular mobile radio localization., and . Comput. Commun., (2020)Generation of irregular grid maps for fingerprinting-based mobile radio localization using farthest-first traversal and low-discrepancy sequences., , and . Comput. Commun., (November 2023)A hardware and software Web-based environment for Energy Consumption analysis in mobile devices., , , and . NCA, page 242-245. IEEE Computer Society, (2016)On the use of nonlinear methods for low-power CPU frequency prediction based on Android context variables., , and . NCA, page 250-253. IEEE Computer Society, (2016)Autonomous Power Management for Embedded Systems Using a Non-linear Power Predictor., , and . DSD, page 22-29. IEEE Computer Society, (2017)