Jonathan Ah Sue

Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Adaptive Predictive Power Management for Mobile LTE Devices (2021) Brand P, Falk J, Ah Sue J, Brendel J, Hasholzner R, Teich J Journal article, Original article Supervised Learning Grant Prediction for Cellular Mobile Device Power Savings (2021) Ah Sue J Thesis Clustering-Based Scenario-Aware LTE Grant Prediction (2020) Brand P, Sabih M, Falk J, Ah Sue J, Teich J Conference contribution, Conference Contribution Optimizing Exploratory Workflows for Embedded Platform Trace Analysis and its Application to Cellular Modems (2019) Ah Sue J, Brand P, Falk J, Hasholzner R, Teich J Conference contribution, Conference Contribution Performance Comparison between Machine Learning based LTE Downlink Grant Predictors (2019) Nisar A, Ah Sue J, Teich J Conference contribution Improvements in LTE-Advanced Time Series Prediction with Dimensionality Reduction Algorithms (2018) Mercader A, Ah Sue J, Hasholzner R, Brendel J Conference contribution, Conference Contribution Reinforcement Learning for Power-Efficient Grant Prediction in LTE (2018) Brand P, Falk J, Ah Sue J, Brendel J, Hasholzner R, Teich J Conference contribution, Original article A Predictive Dynamic Power Management for LTE-Advanced Mobile Devices (2018) Ah Sue J, Brand P, Brendel J, Hasholzner R, Falk J, Teich J Conference contribution, Conference Contribution Exploiting Predictability in Dynamic Network Communication for Power-Efficient Data Transmission in LTE Radio Systems (2017) Brand P, Ah Sue J, Brendel J, Falk J, Hasholzner R, Teich J, Wildermann S Conference contribution, Conference Contribution A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction (2016) Ah Sue J, Hasholzner R, Brendel J, Kleinsteuber M, Teich J Conference contribution