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DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction.

, , , , and . IEEE Trans. Mob. Comput., 22 (2): 824-840 (2023)

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Graphs with 3-rainbow index n-1 and n-2., , , and . Discussiones Mathematicae Graph Theory, 35 (1): 105-120 (2015)cDeepArch: A Compact Deep Neural Network Architecture for Mobile Sensing., , , , , , and . SECON, page 190-198. IEEE, (2018)A voltage mode power converter with the function of digitally duty cycle tuning., , , , , and . VLSI-SoC, page 319-324. IEEE, (2011)Efficient scheduling of power communication resources based on fuzzy weighted constraint equalisation., and . Int. J. Inf. Commun. Technol., 15 (1): 57-67 (2019)Sparse-View CT Reconstruction via Convolutional Sparse Coding., , , , and . CoRR, (2018)A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter., , , , and . Sensors, 20 (2): 565 (2020)Link Quality Modeling for LoRa Networks in Orchards., , , and . IPSN, page 27-39. ACM, (2023)DeepAPP: a deep reinforcement learning framework for mobile application usage prediction., , , , and . SenSys, page 153-165. ACM, (2019)Meta-Auto-Decoder for Solving Parametric Partial Differential Equations., , , , , , , , , and 3 other author(s). NeurIPS, (2022)An Empirical Study on Progressive Sampling for Just-in-Time Software Defect Prediction., , , , and . QuASoQ@APSEC, volume 2511 of CEUR Workshop Proceedings, page 12-18. CEUR-WS.org, (2019)