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Browsing Doctoral Theses by Thesis Supervisor "Narayanan, Ajit"

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    • Bioinformatics-inspired analysis for watermarked images with multiple print and scan 

      Garhwal, Abhimanyu Singh (Auckland University of Technology, 2018)
      Image identification and grouping through pattern analysis are the core problems in image analysis. In this thesis, the gap between bioinformatics and image analysis is bridged by using biologically-encoding and ...
    • A Component Based Knowledge Transfer Model for Deep Neural Networks 

      Sremath Tirumala, Sreenivas (Auckland University of Technology, 2020)
      This thesis explores the idea that features extracted from deep neural networks (DNNs) through layered weight analysis are knowledge components and are transferable. Among the components extracted from the various layers, ...
    • Developing a Digital Forensic Capability for Critical Infrastructures: An Investigation Framework 

      Mahmoud, Amr (Auckland University of Technology, 2020)
      Digital forensic science in critical infrastructures is a booming study area of research. It combines cybersecurity practices of industrial control systems in critical infrastructures, with the problems of big data quantities ...
    • Disaster e-Health Scope and the Role of RFID for Healthcare Purposes 

      Madanian, Samaneh (Auckland University of Technology, 2019)
      Disasters, either natural or manmade, are sudden and mostly unpredictable. They are of such enormous scale that it is necessary for societies to embark upon special planning and preparedness before disasters strike to ...
    • Discovery of High Quality Knowledge for Clinical Decision Support Systems by Applying Semantic Web Technology 

      Zolhavarieh, Seyedjamal (Auckland University of Technology, 2017)
      While the discovery of new clinical knowledge is always a good thing, it can lead to difficulties. Health experts are required to actively ensure they are informed about the latest accurate knowledge in their field. Many ...
    • Evidence-based Stratification Methodology for Non-probabilistic Sampling Surveys 

      Gazala, Ali (Auckland University of Technology, 2018)
      There is increasing use of non-probability sampling methods in large-scale surveys due to the costs involved in ensuring that the sample chosen is representative of the population, as is the case with probability sampling. ...
    • Hydrological Cycle Algorithm for Solving Optimisation Problems 

      Wedyan, Ahmad (Auckland University of Technology, 2018)
      This research proposes a new nature-inspired algorithm called the Hydrological Cycle Algorithm (HCA), which simulates the movement of water drops in the hydrological water cycle. In the HCA, a collection of artificial water ...
    • Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques 

      Naidu, Vijay Jeevanantham (Auckland University of Technology, 2018)
      Modern antivirus systems (AVSs) are not able to detect new polymorphic malware variants until they emerge, even when signatures of one or more variants belonging to a specific polymorphic malware family are known. Polymorphic ...
    • Image Authentication and Rightful Ownership Watermarking Method for the Cloud Environment 

      Khaleghparast, Reza (Auckland University of Technology, 2017)
      Cloud computing has evolved in the last five years from being an abstract idea and proposal, and into services that people use every day. In particular services that relate to mobile phone technologies have expanded in ...
    • Intelligent collision detection and avoidance techniques for autonomous agents 

      Fan, Liu (Auckland University of Technology, 2014)
      Collision is one of the main problems in distributed task cooperation involving multiple moving agents or robots. The collision avoidance problem arises when the environment is dynamic and to reach their destination agents ...
    • Measuring Mindfulness and Health-related Outcomes: Applying Rasch Analysis and Generalisability Theory to Improve Reliability and Validity of Scales 

      Medvedev, Oleg (Auckland University of Technology, 2017)
      There is growing evidence for mindfulness-based interventions in alleviating the symptoms and enhancing the coping abilities of people suffering from psychological and physical health conditions and improving overall ...
    • Natural immune systems for developing novel Machine Learning algorithms 

      Ahmad, Waseem (Auckland University of Technology, 2012)
      This thesis presents novel multi-layered natural immune system (NIS) inspired algorithms in the domain of machine learning. The exploration of biological metaphors for developing novel learning algorithms for computation ...
    • Power and Network Integration: Structural and Algorithmic Analysis of Organizational Networks 

      Moskvina, Anastasia (Auckland University of Technology, 2016)
      This thesis constitutes the results of our research towards structural and algorithmic analysis of organizational networks. We study how interpersonal ties become crucial empowerment channels that shape organizational ...
    • Punctual Activity Classification Within Constrained Sporting Domains Using Reservoir Computing 

      Hunt, Douglas (Auckland University of Technology, 2017)
      This research uses Design Science to create a software artefact that employs recurrent neural networks in the form of Reservoir Computing models such as Liquid State Machines and Echo State Networks to classify rare punctual ...
    • The semantics of work in a work system: a pragmatic philosophy of Information Systems 

      Litchfield, Alan Te Morenga (Auckland University of Technology, 2011)
      The study is a philosophical investigation into the semantics of Work in the Work System. In the field of Information Systems the Work System concept that has been adopted as a model for the understanding, analysis, and ...
    • Theorising the internet and its governance 

      Baloch, Fuad Khan (Auckland University of Technology, 2014)
      The assumption found in the literature that the Internet is a well-defined entity is challenged in this study. It is argued that despite apparent agreement on aspects of the Internet, such as the technological components, ...

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