Computing
Recent Submissions
-
Critical comparison of statistical and deep learning models applied to the New Zealand Stock Market Index
(2022)RESEARCH QUESTIONS 1. What are the critical fundamental determinants of the NZX 50 Index movements? 2. How can effective forecasting models based on HWES and ARIMA methodologies be devised and applied with high precision ... -
Using vector agents to implement an unsupervised image classification algorithm
(MDPI (Multidisciplinary Digital Publishing Institute), 2021-12-02)Unsupervised image classification methods conventionally use the spatial information of pixels to reduce the effect of speckled noise in the classified map. To extract this spatial information, they employ a predefined ... -
Acoustic features of dysphonic speech vs normal speech in New Zealand English speakers
(Computing and Information Technology Research and Education New Zealand (CITRENZ), 2021-07)This poster presents the acoustic features of distorted speech in three dysphonic New Zealanders compared to three healthy individuals as the control group. There are a total of six subjects in this study. Voice onset time ... -
Habitabilidad, Conectividad y Salud Menta [= Habitability, Connectivity and Mental Health]
(2021-11-05)No es un fenómeno nuevo la modificación de los espacios habitables para dar lugar a elementos tecnológicos. Efectos como la contaminación visual y la invasión de los espacios cotidianos son tan comunes que hasta pasan ... -
An approach to interesting objects detection in low quality image sequences for fisheries management
(World Scientific and Engineering Academy and Society (WSEAS), 2015)In order to extract interest objects in low quality image sequences from fisheries management, this paper proposes a new significant feature extraction method based on cascade framework. This algorithm involves pre processing ... -
A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data
(SAGE Publications, 2019-08-01)The study of the robust fatigue feature learning method for the driver’s operational behavior is of great significance for improving the performance of the real-time detection system for driver’s fatigue state. Aiming at ... -
Performance comparison of IPv6 in 802.11ac WLAN in Windows and Linux environment
(Institute of Electrical and Electronics Engineers (IEEE), 2021-12)In this paper, the performance of IEEE 802.11ac wireless LAN is analysed and compared for two operating systems, Windows, and Linux Ubuntu. Parameters measured are throughput, latency, and CPU utilization for TCP, UDP, ... -
Visualising vein pattern using deep learning for forensic investigation
(2021-12)Child sexual abuse is a severe global problem that has gained public attention in recent years. Due to the popularity of digital cameras, many perpetrators take images of their sexual activities. Even though most common ... -
A comprehensive review of deep learning algorithms
(Unitec ePress, 2021-11-26)Deep learning algorithms are a subset of machine learning algorithms that aim to explore several levels of the distributed representations from the input data. Recently, many deep learning algorithms have been proposed to ... -
Identification of queen-less beehives using signal enhancement techniques and neural networks
(2021)Beekeeping has a long history of about 180 years in New Zealand. The first group of honey bees introduced has expanded to approximately one million registered beehives by now. An increasing number of residents have been ... -
A CNN-based identification of honeybees' infection using augmentation
(2021)RESEARCH QUESTIONS: [Are standard images classified accurately using Convolutional Neural Network (CNN) or transfer learning method?] Can varroa destructor mite be identified correctly from a small number of low-quality ... -
A framework for analysis and comparison of deepfakes detection methods
(2021)With the rise of AI (Artificial Intelligence), people can already utilise Deepfakes technology to generate fake pictures and videos increasingly. Similar to all technologies, while bringing benefits, this technology also ... -
Deep correlation learning for urban air quality: Analysis and prediction in New Zealand
(2021)RESEARCH QUESTIONS: • RQ1: Can we relate all the variables involved in air-quality monitoring to establish which ones have dependencies on the others? • RQ2: Can we further model this inter-relationship and automate ... -
A comparative analysis of the E-Government Development Index (EGDI). July 20-23 (pp. 23-29). : IADIS Press
(IADIS Press, 2021-07)During the past two decades, the United Nations Department of Economic and Social Affairs (UN DESA) published series of reports. Each report presents global survey results that measure e-government development in the 193 ... -
Performance comparison of IEEE802.11ac vs IEEE 802.11n WLAN in IPv6
(Springer, 2021-05)In this paper, performance of WLAN (Wireless LAN) for peer-peer and client-server networks with WPA-2 security is investigated for both IEEE802.11ac and IEEE802.11n standard. Parameters studied include throughput, and RTT ... -
Enhancing customers’ knowledge and decision making using augmented reality
(Asia-Pacific Society for Computers in Education (APSCE), 2020-11)Augmented reality has seen massive success in recent years as it provides an opportunity for a seamless and rich user interaction with the real world. Recent studies have shown augmented and virtual reality can play a ... -
A hybrid intelligent intrusion detection system for advanced persistent threats
(2020)RESEARCH MOTIVATION: The objective of this research is to investigate how to increase the detection rate and increase the tracking rate of APT and TA in their early attack phases within an environment of distributed ... -
Human biometric traits : a systematic review focusing on vascular patterns
(Unitec ePress, 2020-12-10)Authentication methods based on human traits, including fingerprint, face, iris, and palm print, have developed significantly, and currently they are mature enough to be reliably considered for human identification purposes. ... -
Automatic assessment of dysarthric severity level using audio-video cross-modal approach in deep learning
(ISCA (International Speech Communication Association), 2020-10)Dysarthria is a speech disorder that can significantly impact a person’s daily life, and yet may be amenable to therapy. To automatically detect and classify dysarthria, researchers have proposed various computational ... -
Development of unified and dynamic geometric framework for modelling plant leaf spots
(2020-11)The use of computer vision and image processing techniques have proven to be effective in detecting and classifying plant diseases from symptoms, such as leaf spots or mosaic leaf patterns caused by pathogens. To identify ...
RSS 1.0