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ID# 23-019
Project
23-019: Machine Learning Identification of Building Services

Project Description The project is to develop a framework for applying machine learning to identify mechanical and electrical building services in photos of existing buildings. This would involve identifying appropriate approaches based on academic literature, collecting sample images, developing a working approach to train the machine learning algorithms, and writing code in C/C++/OpenCL to run […]

CEEDWA Partner
Ezametric
Discipline

Software Engineering or Computer Science

Supervisors

Prof. Mark Reynolds

Project type

3/4 - No site work with the client / 4 weeks credit towards Professional Practicum hours

Studentship

$7,500

Deadline
Monday 6th of February
ID# 23-015
Project
23-015: Review of Economic Regulation of Water and Energy Utilities in Australia and UK

Brief Project Description: The major Australian water and energy utilities with natural monopoly assets are governed by a regulatory framework to ensure that they do not take advantage of the market to receive above market rates of return. The Water Corporation is setting up a systematic way of monitoring regulatory practice and tariff setting for […]

CEEDWA Partner
Water Corporation WA
Discipline

Business: Economics or Finance

Supervisors

Dr Duc Vo

Project type

Full - Student must be able to attend 8 weeks site work with client over the summer break. Full credit will be given toward Professional Practicum hours.

Studentship

$10,000

Deadline
December 2022
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