• Bayesian threshold selection for extremal models using measures of surprise

      Lee, J; Fan, Y; Sisson, S (Cornell University Library, 2013)
      Statistical extreme value theory is concerned with the use of asymptotically motivated models to describe the extreme values of a process. A number of commonly used models are valid for observed data that exceed some high ...
    • Bending waves in composite structures with random parameters

      Chung, H (Institut für Mathematik, Universität Augsburg, 2012)
      Modelling the vibration of composite structures requires including the effects of uncertain material properties of individual components at mid-frequency. A example here is a double-leaf elastic plate, which is often used ...
    • The Benefits of Open Government Data Use: A Crosscountry Comparison

      Mokobombang, N; Gutierrez, J; Petrova, K (Association for Information Systems (AIS), 2019)
      Data produced by government have enormous importance; in addition to providing the information needed to run governance tasks related to internal processes, they can be used to create new sources of value by combining ...
    • Best practices and future trends in CSE education

      Sarkar, NI (IEEE Xplore, 2012)
      The developments and innovations in Computer Science and Engineering (CSE) fields as well as people’s lifestyle are forcing educators to update CSE curriculum to suit the needs of our students and their learning styles. ...
    • Best procurement selection: development of a conceptual model based on transaction costs

      Rajeh, M; Tookey, J; Rotimi, J.O.B. (Australasian Universities Building Education Association (AUBEA), 2013)
      Procurement is a major improvement area and a crucial element contributing to project success and the selection of optimal procurement system is an important and difficult step in project execution. The criteria for choosing ...
    • Bibliometric Mapping of Intensive Care Nurses' Wellbeing: Development and Application of the New iAnalysis Model

      Jarden, RJ; Narayanan, A; Sandham, M; Siegert, RJ; Koziol-Mclain, J (BioMed Central Ltd, 2019)
      Background: Intensive care nurse wellbeing is essential to a healthy healthcare workforce. Enhanced wellbeing has widespread benefits for workers. Bibliometrics enables quantitative analysis of bourgeoning online data. ...
    • Big Data Analytics and Processing Platform in Czech Republic Healthcare

      Štufi, M; Bačić, B; Stoimenov, L (MDPI, 2020)
      Big data analytics (BDA) in healthcare has made a positive difference in the integration of Artificial Intelligence (AI) in advancements of analytical capabilities, while lowering the costs of medical care. The aim of this ...
    • Big Data Offloading using Smart Public Vehicles with Software Defined Connectivity

      Munjal, R; Liu, W; Li, XJ; Gutierrez, J (IEEE, 2019)
      With the explosive increase in the number of mobile devices such as smartphones or laptops, the design of mobile applications becomes increasingly complex, power hungry and resource consuming. Therefore, conventional ...
    • Bioelectronics and medical diagnostics

      Gholamhosseini, H (OMICS Publishing Group, 2014)
      No abstract.
    • Bioengineering silicon quantum dot theranostics using a network analysis of metabolomic and proteomic data in cardiac ischemia

      Erogbogbo, F; May, J; Swihart, M; Prasad, P; Smart, K; Jack, S; Korcyk, D; Webster, M; Stewart, R; Zeng, I; Jullig, M; Bakeev, K; Jamieson, M; Kasabov, N; Gopalan, B; Liang, L; Hu, R; Schliebs, S; Villas-Boas, S; Gladding, P (Ivyspring International Publisher, 2013)
      Metabolomic profiling is ideally suited for the analysis of cardiac metabolism in healthy and diseased states. Here, we show that systematic discovery of biomarkers of ischemic preconditioning using metabolomics can be ...
    • Biomechanics of a Novel Extra-articular Implant for Younger Patients With Knee Osteoarthritis

      Saeidi, M; Ramezani, M; Kelly, P; Hussin, MS; Neitzert, T (De Gruyter Open, 2018)
      This research aimed to study the efficacy of a novel implant for osteoarthritic knees. This implant is designed to eliminate excessive loads through the knee and to provide suitable conditions for possible tibiofemoral ...
    • Biometric security systems: finally, a friend?

      Petrova, K (IEEE, 2002)
      Information systems security has broadened its meaning and significance and has started to affect our lives and behaviours. The research literature identifies five related research domains: information systems, security ...
    • Biotronic engineering curriculum design: integrating electronic engineering and applied/health sciences

      GholamHosseini, H; Prasad, K (IEEE, 2013)
      A specialised major in Biotronic Engineering that meets the needs of health care industry was offered at Auckland University of Technology (AUT). The Biotronic Engineering major focuses on integrating electronic and computer ...
    • Blind source separation for adaptive speech control

      Moir, T; Alam, F; Harris, J (AUT University, 2011)
      Crosstalk resistant adaptive noise cancellation (CTRANC) is a method of separat-ing convolutively mixed sources where little a priori information is known about the system. Possible areas of application for such an algorithm ...
    • Border detection of skin lesions on a single System on Chip (SoC)

      Sabouri, P; Gholamhosseini, H; Collins, J (Computer Society of the Republic of China, 2014)
      Real-time medical vision systems using single system on chip (SoC) can be employed for early diagnosis of melanoma. This paper presents, a basic border detection algorithm developed based on ZYNQ-7000 SoC, using VIVADO ...
    • Bornologies and hyperspaces

      Cao, J (New Zealand Mathematical Society, 2011)
      A bornology on a nonempty set X is a family of subsets of X that is closed under taking finite unions, that is hereditary, and that forms a cover of X. Bornologies have been widely applied in functional analysis and topology ...
    • Brain, gene, and quantum inspired computational intelligence

      Kasabov, N (Springer-Verlag, 2014)
      This chapter discusses opportunities and challenges for the creation of methods of computational intelligence (CI) and more specifically – artificial neural networks (ANN), inspired by principles at different levels of ...
    • Building Efficient Multi-level Wireless Sensor Networks With Cluster-based Routing Protocol

      Shwe, HY; Kumar, A; Chong, PHJ (Korean Society for Internet Information, 2016)
      In resource constrained sensor networks, usage of efficient routing protocols can have significant impact on energy dissipation. To save energy, we propose an energy efficient routing protocol. In our approach, which ...
    • Building information modeling for smart built environments

      Zhang, J; Seet, BC; Lie, TT (MDPI AG, 2015)
      Building information modelling (BIM) provides architectural 3D visualization and a standardized way to share and exchange building information. Recently, there has been an increasing interest in using BIM, not only for ...
    • Building theory on monetary retention regimes

      Abeysekera, V; Raina, P; Neitzert, T (AUT University, 2009)
      The aim of this paper is to explore and recommend a rational basis for setting up a retention regime for a given project. Despite a century of practice, there is no theory to provide guidance yet. Using insights gained ...