Browsing Doctoral Theses by Thesis Supervisor "Sinha, Roopak"
Now showing items 1-9 of 9
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Computer-Aided Diagnosis for Early Detection of Melanoma Based on Deep-Learning Techniques
(Auckland University of Technology, 2022)Melanoma is the deadliest form of skin cancer, with a high mortality rate every year, and New Zealand is known to be one of the countries with the highest incidence of this disease. Overexposure to ultraviolet sun rays ... -
Design of Formal Query Languages and Schemas for Graph Databases
(Auckland University of Technology, 2021)The industry-wide adoption of graph databases has been hindered due to the lack of a standard query language. Hence projects such as ISO/IEC 39075 have been proposed to integrate features from existing graph query languages, ... -
Diagnostic Belief-Desire-Intention Agents for Distributed IEC 61499 Fault Diagnosis
(Auckland University of Technology, 2021)Humans demonstrate ingenious ways of solving engineering problems, but their approaches to finding faults are often laborious and time-intensive. Their manual techniques do not scale well, especially when the systems are ... -
Entropy-Based Optimization Strategies for Convolutional Neural Networks
(Auckland University of Technology, 2021)Deep convolutional neural networks are state-of-the-art for image classification and significant strides have been made to improve neural network model performance which can now even outperform human-level abilities. ... -
Intelligent Dynamic Route Optimization and Road Pre-emption System for On-road Emergency Services
(Auckland University of Technology, 2021)Increased response time of emergency vehicles (EVs) can cause an irreparable loss of life and property. Reducing emergency services’ response times requires identifying the most effective optimization and pre-emption ... -
Optimising the Trade-Off Between Accuracy and Privacy in Data Stream Mining Environments
(Auckland University of Technology, 2022)Data streams differ from static datasets due to numerous characteristics such as being incremental, high speed, high volume, subject to concept drift, and dynamically adapting. This unique nature of data streams makes ... -
An Optimized Hardware System on Chip for a Support Vector Machine Classifier: a Case Study on Melanoma Detection
(Auckland University of Technology, 2018)Support Vector Machine (SVM) is a robust machine learning model used for efficient classification with high accuracy. SVM is widely utilized for online classification in various embedded applications. However, implementing ... -
A Secure Live Virtual Machine Job Migration Framework for Cloud Systems Integrity
(Auckland University of Technology, 2021)INTRODUCTION: In the world of cloud computing (CC), security is the key to success. While ease and cost are two important factors in CC, security and technical issues are significant problems. The resources such as central ... -
Techniques For Developing Secure-by-design Industrial Control Software
(Auckland University of Technology, 2021)Industrial Control Systems (ICS) have significantly changed how we operate manufacturing plants, transportation systems, facility management and monitoring systems. Reliance on modern ICS has significantly improved human ...