School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
AUT is home to a number of renowned research institutes in engineering, and computer and mathematical sciences. The School of Engineering, Computer and Mathematical Sciences strong industry partnerships and the unique combination of engineering, computer and mathematical sciences within one school stimulates interdisciplinary research beyond traditional boundaries. Current research interests include:
- Artificial Intelligence; Astronomy and Space Research;
- Biomedical Technologies;
- Computer Engineering; Computer Vision; Construction Management;
- Data Science;
- Health Informatics and eHealth;
- Industrial Optimisation, Modelling & Control;
- Information Security;
- Mathematical Sciences Research; Materials & Manufacturing Technologies;
- Networking, Instrumentation and Telecommunications;
- Parallel and Distributed Systems; Power and Energy Engineering;
- Software Engineering; Signal Processing; STEM Education;
- Wireless Engineering;
Items in these collections are protected by the Copyright Act 1994 (New Zealand). These works may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use:
- Any use you make of these works must be for research or private study purposes only, and you may not make them available to any other person.
- Authors control the copyright of their works. You will recognise the author’s right to be identified as the author of the work, and due acknowledgement will be made to the author where appropriate.
- You will obtain the author’s permission before publishing any material from the work.
Recently Added
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The Improved Framework for Traffic Sign Recognition Using Guided Image Filtering
In the lighting conditions such as hazing, raining, and weak lighting condition, the accuracy of traffic sign recognition is not very high due to missed detection or incorrect positioning. In this article, we propose a ... -
An Australasian Study of Reading and Comprehension Skills in Novice Programmers, Using the Bloom and SOLO Taxonomies
(Australian Computer Society, 2006)In this paper we report on a multi-institutional investigation into the reading and comprehension skills of novice programmers. This work extends previous studies (Lister 2004, McCracken 2001) by developing a question set ... -
Unprecedented Change in the Position of Four Radio Sources
(Royal Astronomical Society, 2022)Astrometric positions of radio-emitting active galactic nuclei (AGNs) can be determined with sub-milliarcsec accuracy using very long baseline interferometry (VLBI). The usually small apparent proper motion of distant ... -
The Utility and Acceptability of a New Noninvasive Ventilatory Assist Device, Rest-activity Cycler-positive Airways Pressure, During Exercise in a Population of Healthy Adults: Cohort Study
(JMIR Publications, 2022)BACKGROUND: Noninvasive ventilation has been demonstrated to benefit people who have moderate to severe chronic obstructive pulmonary disease during acute exacerbations. Studies have begun to investigate the effectiveness ... -
A Neighbourhood-Based Trust Protocol for Secure Collaborative Routing in Wireless Mobile D2D HetNets
(LJS Publisher and IJCSIS Press, 2018)Heterogeneous Device-to-Device mobile networks are characterised by frequent network disruption and unreliability of peers delivering messages to destinations. Trust-based protocols has been widely used to mitigate the ... -
Optimal Coordinated Control of DC Microgrid Based on Hybrid PSO–GWO Algorithm
(MDPI, 2022)Microgrids (MGs) are capable of playing an important role in the future of intelligent energy systems. This can be achieved by allowing the effective and seamless integration of distributed energy resources (DERs) loads, ... -
Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation
(ACM, 2022)Background and Context. Metacognitive skills are important for all students learning to program and interest in applying pedagogical approaches in early programming courses that focus on metacognitive aspects is growing. ... -
Can Ready-to-Use RNNs Generate “Good” Text Training Data?
(2022)There is much research on the state-of-the-art techniques for generating training data through neural networks. However, many of these techniques are not easily implemented or available due to factors such as copyright of ... -
Studying Transfer of Learning Using a Brain-Inspired Spiking Neural Network in the Context of Learning a New Programming Language
(IEEE, 2022)Transfer of learning (TL) has been an important research area for scholars, educators, and cognitive psychologists for over a century. However, it is not yet understood why applying existing knowledge and skills in a new ... -
Traffic Sign Recognition Based on Deep Learning
Intelligent Transportation System (ITS), including unmanned vehicles, has been gradually matured despite on road. How to eliminate the interference due to various environmental factors, carry out accurate and efficient ... -
The Polarisation of the Drifting Sub-Pulses From PSR B1919+21
(EDP Sciences, 2022)Aims. We aim to expand our understanding of radio wave emission and propagation in the pulsar magnetosphere by studying the polarisation of drifting sub-pulses in highly sensitive observations of PSR B1919+21 recorded at ... -
Evaluation of a New Short-Project Based Learning (PBL) Method in an Engineering 1st Year Programme
Teaching approaches in engineering undergraduate programmes develop over time, to accommodate latest industry demands and technological needs, to incorporate new technologies in teaching and learning, or it adapts to become ... -
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
(Conference contributionarXiv, 2021)A key step in influence maximization in online social networks is the identification of a small number of users, known as influencers, who are able to spread influence quickly and widely to other users. The evolving nature ... -
Alternating Alpha-Series Process
(Nanjing Tech University, China, Nanjing University of Aeronautics and Astronautics, China, 2021)The alternating α-series process (AAS process) can be used to study ageing repairable systems whose lifetime can be modelled as an alternating sequence of operational times and repair times. In this paper the AAS process ... -
AI Applications to Power Systems
(MDPI, 2022) -
Vehicular Grouping Protocol: Towards Cyber Physical Network Intelligence
(IEEE, 2021)Vehicular network structures present a range of challenges and opportunities for efficiently managing awareness of road dynamics and network connectivity. An enhanced manageable organization can offer a better reaction to ... -
Design and Output Power Evaluation for a Novel Hybrid Wave-Wind Energy Converter
(Elsevier BV, 2022)The performance of oscillating water column (OWC) wave energy converters (WEC) is highly affected by airflow rate. In this paper, a novel system is proposed that increases airflow rate and, therefore, output power through ... -
BeeAE: Effective Aspect Term Extraction With Artificial Bee Colony
Aspect terms are opinion targets for people to express and understand opinions in reviews. Aspect terms extraction is an essential subtask in aspect-level sentiment analysis. To extract aspect terms from a sentence, existing ... -
TCP-LoRaD: A Loss Recovery and Differentiation Algorithm for Improving TCP Performance over MANETs in Noisy Channels
(MDPI, 2022)Mobile Ad hoc Networks (MANETs) are becoming popular technologies because they offer flexibility in setting up anytime and anywhere, and provide communication support on the go. This communication requires the use of ... -
A Hybrid CTC+Attention Model Based on End-to-End Framework for Multilingual Speech Recognition
Speech recognition is an important field in natural language processing. In this paper, the end-to-end framework for speech recognition with multilingual datasets is proposed. The end-to-end methods do not require complicated ...