• Hardware acceleration of SVM-based classifier for melanoma images

      Afifi, S; Gholamhosseini, H; Roopak, S (Department of Computer Science, The University of Auckland., 2015)
      Melanoma is the most aggressive form of skin cancer which is responsible for the majority of skin cancer related deaths. Recently, image-based Computer Aided Diagnosis (CAD) systems are being increasingly used to help ...
    • Hardware Implementations of SVM on FPGA: A State-of-the-Art Review of Current Practice

      Afifi, SM; Gholamhosseini, H; Poopak, S (International Journal of Innovative Science Engineering and Technology (IJISET), 2015)
      The Support Vector Machine (SVM) is a common machine learning tool that is widely used because of its high classification accuracy . Implementing SVM for embedded real -time applications ...
    • Head Pose Detection for aWearable Parrot-Inspired Robot Based on Deep Learning

      Bharatharaj, J; Huang, L; Elara Mohan, R; Pathmakumar, T; Krageloh, C; Al-Jumaily, A (2018)
      Extensive research has been conducted in human head pose detection systems and several applications have been identified to deploy such systems. Deep learning based head pose detection is one such method which has been ...
    • Head tracking based avatar control for virtual environment teamwork training

      Marks, S; Windsor, JA; Wünsche, B (Elsevier, 2011)
      Virtual environments (VE) are gaining in popularity and are increasingly used for teamwork training purposes, e.g., for medical teams. One shortcoming of modern VEs is that nonverbal communication channels, essential for ...
    • HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values

      Koh, YS; Pears, RL (Springer, 2015)
      We propose an efficient algorithm, called HI-Tree, for mining high influence patterns for an incremental dataset. In traditional pattern mining, one would find the complete set of patterns and then apply a post-pruning ...
    • Hierarchical Data Classification Using Deep Neural Networks

      Tirimula, SS; Narayanan, A (Springer, 2015)
      Deep Neural Networks (DNNs) are becoming an increasingly interesting, valuable and efficient machine learning paradigm with implementations in natural language processing, image recognition and hand-written character ...
    • High Resolution Stream Network in Haji Dam Watershed

      Perez-Kuroki, A; Isozaki, Y; Kikuchi, A; Nakagoshi, N (広島大学大学院国際協力研究科 (Hiroshima University Graduate School of International Cooperation), 2007)
      The main objective of this research is to find landscape structure of watershed by using the method of hydrological simulations. A watershed is a basic physical entity of the landscape and most processes related to the ...
    • Hourly electrical power consumption prediction for New Zealand residential houses using artificial neural network models

      Ahmad, A; Anderson, T (Australian PV Institute (APVI), 2014)
      In this study several Artificial Neural Network (ANN) models were experimented to predict electricity consumption for a residential house in New Zealand. The effect of number of users in the house, day of the week and ...
    • Hourly global solar irradiation forecasting for New Zealand

      Ahmad, A; Anderson, TN; Lie, T (Elsevier, 2015)
      With the growing use of solar thermal energy systems and small scale photovoltaic power generation by domestic users, there is increasing need to develop intelligent controllers that allow these users to efficiently manage ...
    • How (Not) to Write an Introductory Programming Exam

      SImon; Sheard, J; D'Souza, D; Lopez, M; Luxton-Reilly, A; Putro, IH; Robbins, P; Teague, D; Whalley, JL (Australian Computer Society, Inc., 2015)
      The computing education literature shows some recent interest in assessment in introductory programming, with papers analysing final examinations and other papers proposing small sets of examination questions that might ...
    • How Albot0 finds its way home: a novel approach to cognitive mapping using robots

      Yeap, WK (Wiley-Blackwell, 2011)
      Much of what we know about cognitive mapping comes from observing how biological agents behave in their physical environments, and several of these ideas were implemented on robots, imitating such a process. In this paper ...
    • How difficult are exams? A framework for assessing the complexity of introductory programming exams

      Sheard, J; Simon; Carbone, A; Chinn, D; Clear, Tony; Corney, M; D'Souza, D; Fenwick, J; Harland, J; Laakso, M-J; Teague, D (Australian Computer Society (ACS), 2013)
      Student performance on examinations is influenced by the level of difficulty of the questions. It seems reasonable to propose therefore that assessment of the difficulty of exam questions could be used to gauge the level ...
    • How entrepreneurial New Zealand firms procure environmental technical innovations for the construction industry

      Staal, A; Tookey, JE; Seadon, J; Mobach, M; Walhof, G (Hanze University of Applied Sciences, Groningen, the Netherlands, 2015)
      Construction industries in New Zealand and abroad have a low track record for successful sustainable innovations. This often has a negative impact on private and government spending, and on quality, society and the ...
    • Human Gait Recognition Based on Frame-by-frame Gait Energy Images and Convolutional Long Short Term Memory

      Wang, X; Yan, WQ
      Human gait recognition is one of the most promising biometric technologies, especially for unobtrusive video surveillance and human identification from a distance. Aiming at improving recognition rate, in this paper we ...
    • HYBRIDJOIN for Near Real-time Data Warehousing

      Naeem, M; Dobbie, G; Weber, G (University of Auckland, 2010)
      In order to make timely and effective decisions, businesses need the latest information from data warehouse repositories. To keep these repositories up-to-date with respect to the end user updates, near real-time data ...
    • HYBRIDJOIN for near-real-time Data Warehousing

      Naeem, MA; Dobbie, G; Weber, G (IGI Publishers, 2011)
      An important component of near-real-time data warehouses is the near-real-time integration layer. One important element in near-real-time data integration is the join of a continuous input data stream with a diskbased ...
    • Hydrological Cycle Algorithm for Continuous Optimization Problems

      Wedyan, A; Whalley, J; Narayanan, A (Hindawi, 2017)
      A new nature-inspired optimization algorithm called the Hydrological Cycle Algorithm (HCA) is proposed based on the continuous movement of water in nature. In the HCA, a collection of water drops passes through various ...
    • Hyper-spectral imaging for the discrimination of milk powder

      Munir, MT; Young, BR; Wilson, DI (Asia Pacific Confederation of Chemical Engineering (APCChe), 2015)
      Hyper-spectral imaging (HSI) is an emerging, hybrid process analytical technology, combining imaging and spectroscopic techniques for food quality monitoring and assessment. While this technique has recently proved popular ...
    • I See What You're Doing: Student Views on Lecturer Use of Tablet PCs in the Classroom

      Maclaren, P; Wilson, D; Klymchuk, S (The Australasian Society for Computers in Learning in Tertiary Education (ASCILITE), 2016)
      A fundamental component in the teaching of STEM subjects, particularly those involving mathematical processes, has traditionally been a classroom session with a teacher modelling theory and problem solving using a chalkboard ...
    • Identification of Chinese Herbal Medicines With Electronic Nose Technology: Applications and Challenges

      Zhou, H; Luo, D; Gholamhosseini, H; Li, Z; He, J (MDPI, 2017)
      This paper provides a review of the most recent works in machine olfaction as applied to the identification of Chinese Herbal Medicines (CHMs). Due to the wide variety of CHMs, the complexity of growing sources and the ...