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  • Browsing School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau by Title
  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
  • Browsing School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau by Title
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Browsing School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau by Title

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Now showing items 343-362 of 1151

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    • An Effective Algorithm for Specular Reflection Image Enhancement 

      Huang, Z; Jia, Z; Yang, J; Kasabov, NK (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Specular highlights often exist in real-world images due to the material property of objects and the capturing environments. High light in real-life scenes can reduce image quality and cause loss of image information, to ...
    • Effective versus individual waves for water wave and thin plate problems 

      Chung, H; Rupperecht, S; Peter, M; Bennetts, L (Department of Mathematics at Karlsruhe Institute of Technology (KIT), 2015)
      Numerical results are presented to show that, for small-amplitude roughness, individual wave elevations attenuate at a far slower rate than the corresponding e ective wave elevation for both ocean waves travelling over a ...
    • Effects of Morphology on the Bulk Density of Instant Whole Milk Powder 

      Wilson, D; Ding, H; Li, B; Boiarkina, I; Yu, W; Young, B (MDPI AG, 2020)
      The chemical and physical properties of instant whole milk powder (IWMP), such as morphology, protein content, and particle size, can affect its functionality and performance. Bulk density, which directly determines the ...
    • Effects of Similarity Score Functions in Attention Mechanisms on the Performance of Neural Question Answering Systems 

      Shen, Y; Lai, EM-K; Mohaghegh, M
      Attention mechanisms have been incorporated into many neural network-based natural language processing (NLP) models. They enhance the ability of these models to learn and reason with long input texts. A critical part of ...
    • Efficient Computation of Nonparametric Survival Functions Via a Hierarchical Mixture Formulation 

      Wang, Y; Taylor, SM (Springer, 2013)
      We propose a new algorithm for computingthe maximum likelihood estimate of a nonparametric survivalfunction for interval-censored data, by extending therecently-proposed constrained Newton method in a hierarchicalfashion. ...
    • An Efficient Gateway Routing Scheme for Disaster Recovery Scenario 

      Sarkar, N; Mahiddin, NA (2019)
      Natural disaster can strike at any time and can ruin large regions damaging houses, buildings, as well as physical communication infrastructure. Therefore, a network backup is essential in the disaster recovery areas as ...
    • Efficient image copy detection using multi-scale fingerprints 

      Ling, Hefei; Zou, Fuhao; Yan, Wei-Qi; Ma, Qingzhen; Cheng, Hongrui (IEEE, 2011)
      Inspired by multi-resolution histogram, we propose a multi-scale SIFT descriptor to improve the discriminability. A series of SIFT descriptions with different scale are first acquired by varying the actual size of each ...
    • Elearning to whose agenda? The discourse of enterprise v the discourse of community 

      Clear, Tony (David P. Bosworth, 2001)
      No abstract.
    • Emerging Trends for Global DevOps: A New Zealand Perspective 

      Hussain, W; Clear, T; MacDonell, S (IEEE, 2017)
      The DevOps phenomenon is gaining popularity through its ability to support continuous value delivery and ready accommodation of change. However, given the relative immaturity and general confusion about DevOps, a common ...
    • Emotion Recognition and Understanding Using EEG Data in a Brain-inspired Spiking Neural Network Architecture 

      Alzhrani, W; Doborjeh, M; Doborjeh, Z; Kasabov, N (Ulster University, 2021)
      This paper is in the scope of emotion recognition by employing a brain-inspired recurrent spiking neural network (BI-SNN) architecture for modelling, mapping, learning, classifying, visualising, and understanding of ...
    • An empirical analysis of construction organisations’ competitive strategies and performance 

      Oyewobi, LO; Windapo, AO; Rotimi, JOB (Emerald, 2015)
      Purpose – The essence of strategy formulation is to assist an organisation obtain a strategic fit with its environment and help enhance organisational continuous improvement in achieving performance excellence. The purpose ...
    • An Empirical Examination of Green Star Certification Uptake and Its Relationship With BIM Adoption in New Zealand 

      Doan, DT; GhaffarianHoseini, A; Naismith, N; GhaffarianHoseini, A; Zhang, T; Tookey, J
      Purpose Green building information modelling (BIM) has been highlighted as an essential topic owing to its potential benefits. However, both Green Star and BIM are still in their earlier stages in New Zealand. This paper ...
    • An Empirical Study for Human Behavior Analysis 

      Lu, J; Shen, J; Yan, W-Q; Bacic, B (IGI Global, 2017)
      This paper presents an empirical study for human behavior analysis based on three distinct feature extraction techniques: Histograms of Oriented Gradients (HOG), Local Binary Pattern (LBP) and Scale Invariant Local Ternary ...
    • Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging 

      Song, Z; Tomasetto, F; Niu, X; Yan, WQ; Jiang, J; Li, Y (American Association for the Advancement of Science (AAAS), 2022)
      Traditional methods used to monitor the aboveground biomass (AGB) and belowground biomass (BGB) of slash pine (<jats:italic>Pinus elliottii</jats:italic>) rely on on-ground measurements, which are time- and cost-consuming ...
    • Energy Business Initiatives for Grid-Connected Solar Photovoltaic Systems: An Overview 

      Mukisa, N; Zamora, R; Lie, TT
      An overview of the adoption extent of the energy business models around the world was undertaken by considering both the developed and developing countries, with the emphasis on the customer-side renewable energy business ...
    • Energy Savings Using Direct Current (DC) from Photovoltaic (PV) System in a Residential Home 

      Lie, TT; Luo, YZ (IEEE, 2019)
      The conventional AC nanogrid with photovoltaic (PV) system has suffered from power loss caused by power conversion from DC to AC and back to DC for most of the end use in a typical residential home. To overcome the problem, ...
    • Energy-efficient Massive Data Dissemination Through Vehicle Mobility in Smart Cities 

      Naseer, S; Liu, W; Sarkar, NI (MDPI, 2019)
      One of the main challenges of operating a smart city (SC) is collecting the massive data generated from multiple data sources (DSs) and transmitting them to the control units (CUs) for further data processing and analysis. ...
    • An Energy-efficient Region-based RPL Routing Protocol for Low-power and Lossy Networks 

      Zhao, M; Ho, IWH; Chong, PHJ (IEEE, 2016)
      Routing plays an important role in the overall architecture of the Internet of Things. IETF has standardized the RPL routing protocol to provide the interoperability for low-power and lossy networks (LLNs). LLNs cover a ...
    • Enhancing Data Security in the User Layer of Mobile Cloud Computing Environment: A Novel Approach 

      Ogwara, NO; Petrova, K; Yang, MLB; MacDonell, SG (arXiv, 2020)
      This paper reviews existing Intrusion Detection Systems (IDS) that target the Mobile Cloud Computing (MCC), Cloud Computing (CC), and Mobile Device (MD) environment. The review identifies the drawbacks in existing solutions ...
    • Enhancing Generic Thinking Skills of Tertiary STEM Students through Puzzle-based Learning 

      Klymchuk, S; Thomas, M; Gulyaev, S; Evans, T (Ako Aotearoa, 2017)
      Executive Summary The aim of the project was to evaluate the impact of the regular use of puzzles, paradoxes and sophisms (PPS) as a pedagogical strategy for enhancing generic thinking skills of tertiary STEM ...

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