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Dataset supporting the doctoral thesis `Maximising user experience through intelligent resource management in mobile systems'

Dataset supporting the doctoral thesis `Maximising user experience through intelligent resource management in mobile systems'
Dataset supporting the doctoral thesis `Maximising user experience through intelligent resource management in mobile systems'
This dataset contains: Dataset_Chapter3.zip': Data supporting all the figures and tables in Chapter 3 of the thesis: Adaptive DVFS management for maximising user experience. Dataset_Chapter4.zip': Data supporting all the figures in Chapter 4 of the thesis: Self-Adaptive Brightness Scaling for Maximising User Experience. Dataset_Chapter5.zip': Data supporting all the figures in Chapter 5 of the thesis: Adaptive DVFS and Display Brightness Scaling for Maximising User Experience.
University of Southampton
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a

Isuwa, Samuel (2023) Dataset supporting the doctoral thesis `Maximising user experience through intelligent resource management in mobile systems'. University of Southampton doi:10.5258/SOTON/D2909 [Dataset]

Record type: Dataset

Abstract

This dataset contains: Dataset_Chapter3.zip': Data supporting all the figures and tables in Chapter 3 of the thesis: Adaptive DVFS management for maximising user experience. Dataset_Chapter4.zip': Data supporting all the figures in Chapter 4 of the thesis: Self-Adaptive Brightness Scaling for Maximising User Experience. Dataset_Chapter5.zip': Data supporting all the figures in Chapter 5 of the thesis: Adaptive DVFS and Display Brightness Scaling for Maximising User Experience.

Archive
Thesis_Dataset.zip - Dataset
Restricted to System admin until 30 June 2024.
Available under License Creative Commons Attribution.
Text
readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (1kB)

More information

Published date: 15 December 2023
Related URLs:
Learn more about School of Electronics and Computer Science research

Identifiers

Local EPrints ID: 485797
URI: http://eprints.soton.ac.uk/id/eprint/485797
DOI: doi:10.5258/SOTON/D2909
PURE UUID: 4627de88-f6a0-425a-bb2f-40df3f3a9b1a
ORCID for Samuel Isuwa: ORCID iD orcid.org/0000-0002-2235-4091

Catalogue record

Date deposited: 19 Dec 2023 17:46
Last modified: 05 Jan 2024 03:03

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Contributors

Creator: Samuel Isuwa ORCID iD

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