ICSE 2024 (series) / MOBILESoft 2024 (series) / Research Track / A Study on the Battery Usage of Deep Learning Frameworks on iOS Devices
A Study on the Battery Usage of Deep Learning Frameworks on iOS DevicesFull Paper
Mon 15 Apr 2024 11:00 - 11:22 at Carlos Paredes - Energy-Efficiency
Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
11:00 - 12:30 | |||
11:00 22mFull-paper | A Study on the Battery Usage of Deep Learning Frameworks on iOS DevicesFull Paper Research Track Vitor Jacques Universidade Federal de Pernambuco, Negar Alizadeh Universiteit Utrecht, Fernando Castor University of Twente and Federal University of Pernambuco, Vitor Jacques Universidade Federal de Pernambuco | ||
11:22 22mFull-paper | An Empirical Study on the Impact of CSS Prefixes on the Energy Consumption and Performance of Mobile Web AppsFull Paper Research Track Andrei Bogdan Vrije Universiteit Amsterdam, The Netherlands, Ivano Malavolta Vrije Universiteit Amsterdam | ||
11:45 22mFull-paper | An Empirical Evaluation of the Energy Consumption of Using Web Push APIs in Mobile Web Apps - The Case of TelegramFull Paper Research Track Yu Chen Vrije Universiteit Amsterdam, The Netherlands, Jinhai Liao , Shutong Cai Vrije Universiteit Amsterdam, The Netherlands, Yiming Zhao Vrije Universiteit Amsterdam, The Netherlands, Yichen Tong Vrije Universiteit Amsterdam, The Netherlands, Ishas Kulkarni Vrije Universiteit Amsterdam, The Netherlands, Ivano Malavolta Vrije Universiteit Amsterdam | ||
12:07 22mFull-paper | How have iOS Development Technologies Changed over Time? A Study in Open-SourceFull Paper Research Track Luciano Baresi Politecnico di Milano, Massimiliano Di Penta University of Sannio, Italy, Giovanni Quattrocchi Politecnico di Milano, Damian Andrew Tamburri Jheronimus Academy of Data Science |