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  • Browsing School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau by Date
  •   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 Date
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Browsing School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau by Date

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    • Errors in the administration of intravenous medications in hospital and the role of correct procedures and nurse experience 

      Westbrook, JI; Rob, MI; Woods, A; Parry, D (BMJ Publishing Group Ltd and the Health Foundation, 26 M)
      Background Intravenous medication administrations have a high incidence of error but there is limited evidence of associated factors or error severity.Objective To measure the frequency, type and severity of intravenous ...
    • EEG Signatures Change During Unilateral Yogi Nasal Breathing 

      Niazi, IK; Navid, MS; Bartley, J; Shepherd, D; Pedersen, M; Burns, G; Taylor, D; White, DE (Springer Science and Business Media LLC, 2022)
      Airflow through the left-and-right nostrils is said to be entrained by an endogenous nasal cycle paced by both poles of the hypothalamus. Yogic practices suggest, and scientific evidence demonstrates, that right-nostril ...
    • Reducing Heat Loss From Solar Hot Water Storage Tanks Using Passive Baffles 

      Paing, ST; Anderson, TN; Nates, RJ (Elsevier BV, 2022)
      Solar water heating systems with thermal storage are one of the simplest ways of reducing energy demand for domestic water heating. Over the years, researchers have attempted to improve the thermal performance of storage ...
    • Grading Methods for Fruit Freshness Based on Deep Learning 

      Fu, Y; Nguyen, M; Yan, WQ (Springer Science and Business Media LLC, 2022)
      Fruit freshness grading is an innate ability of humans. However, there was not much work focusing on creating a fruit grading system based on digital images in deep learning. The algorithm proposed in this article has the ...
    • Colorizing Grayscale CT Images of Human Lungs Using Deep Learning Methods 

      Yan, WQ; Wang, Y (Springer, 2022)
      Image colorization refers to computer-aided rendering technology which transfers colors from a reference color image to grayscale images or video frames. Deep learning elevated notably in the field of image colorization ...
    • 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 ...
    • Polynomial Wiener LQG Controllers Based on Toeplitz Matrices 

      Moir, T (Institute of Physics (IoP), 2022)
      This paper re-examines the discrete-time Linear Quadratic Gaussian (LQG) regulator problem. The normal approach to this problem is to use a Kalman filter state estimator and Kalman control state feedback. Though quite ...
    • Application Of Combined Terrestrial Laser Scanning And Unmanned Aerial Vehicle Digital Photogrammetry Method In High Rock Slope Stability Analysis: A CASE Study 

      Ismail, A; Safuan A Rashid, A; Sa'ari, R; Wahid Rasib, A; Mustaffar, M; Asnida Abdullah, R; Kassim, A; Mohd Yusof, N; Abd Rahaman, N; Kalatehjari, R (Elsevier BV, 2022)
      Recent advancements in remote sensing techniques have made it possible to overcome the risky issues using conventional methods and have opened up new opportunities for collecting data on discontinuity characteristics. This ...
    • Value and Sustainability of Emerging Social Commerce Professions: An Exploratory Study 

      Petrova, K; Datta, S (MDPI, 2022)
      Recent advances in social commerce and mobile technology have led to the emergence of new professions such as vlogging, blogging and virtual pop-up store owning. Starting initially as hobbies, the services provided by these ...
    • GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks 

      Wu, S; Li, W; Bai, Q (arXiv, 2022)
      In recent years, providing incentives to human users for attracting their attention and engagement has been widely adopted in many applications. To effectively incentivize users, most incentive mechanisms determine incentive ...
    • Pilot Study: Post-surgical Infections Could Be Related With Lack of Sharpness in Surgical Tools 

      White, D; Bartley, J; Whittington, C; Garcia, L; Chand, K; Turangi, C (Public Library of Science (PLoS), 2022)
      Despite rigorous sterilization protocols placed in surgical procedures, there is demonstrated evidence that show patients contract infections while hospitalized. This study aims to investigate the presence of biological ...
    • Non-destructive Measurements of Toona sinensis Chlorophyll and Nitrogen Content Under Drought Stress Using Near Infrared Spectroscopy 

      Liu, W; Li, Y; Tomasetto, F; Yan, W; Tan, Z; Liu, J; Jiang, J (Frontiers Media S.A., 2022)
      Drought is a climatic event that considerably impacts plant growth, reproduction and productivity. Toona sinensis is a tree species with high economic, edible and medicinal value, and has drought resistance. Thus, the ...
    • Enhancing System Acceptance Through User-Centred Design: Integrating Patient Generated Wellness Data 

      Petrova, K; Pais, S; Parry, D (MDPI, 2022)
      Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively ...
    • Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model 

      Chen, W; Jia, Z; Yang, J; Kasabov, NK (MDPI, 2022)
      Compared with single-band remote sensing images, multispectral images can obtain information on the same target in different bands. By combining the characteristics of each band, we can obtain clearer enhanced images; ...
    • Specific Skill Requirements Within Prefabricated Residential Construction: Stakeholders’ Perspectives 

      Rotimi, FE; Almughrabi, FM; Samarasinghe, DAS; Silva, C (MDPI, 2022)
      Skill availability is an important component in the uptake of prefabrication and plays a crucial role in housing supply. However, the challenge is that the demand for housing has outgrown the availability of specifically ...
    • Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach 

      Ogwara, NO; Petrova, K; Yang, ML (Hindawi Limited, 2022)
      Attacks on cloud computing (CC) services and infrastructure have raised concerns about the efficacy of data protection mechanisms in this environment. The framework developed in this study (CCAID: cloud computing, attack, ...
    • Jet Injection Needle-Free Dental Anaesthesia: Initial Findings 

      Brunton, PA; McLean, M; Vedagiri, S; McKeage, J; Ruddy, B; Weatherly, K; White, D; Taberner, A; Loch, C (Elsevier BV, 2022)
      Objectives We evaluated patient preference and reported levels of anxiety and discomfort of participants treated with a new needle-free electric motor-driven device vs. conventional local anaesthetic for dental extractions ...
    • The Impact of the Learner’s Meta-ability Changes on Interpersonal Relations with Teachers under COVID-19: A Lens of Computer-mediated Communication 

      Cho, S-J; Lee, DD (FuCoS, 2021)
      During the COVID-19 pandemic, the higher education institutions of South Korea have switched to a full-scale distance-learning paradigm. This study aimed to investigate the impact of changes in the learner's meta-ability ...
    • A Relationship Between Bias, Lean Tools, and Waste 

      Purushothaman, MB; Seadon, J; Moore, D (Emerald, 2021)
      Purpose This study aims to highlight the system-wide potential relationships between forms of human bias, selected Lean tools and types of waste in a manufacturing process. Design/methodology/approach A longitudinal ...
    • Effect of a Stepped Piston on an Alpha Stirling Engine 

      Gschwendtner, M (Auckland University of Technology, 2021)

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