Search Results - "Nahavandi, S."

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  1. 1

    Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts by Khosravi, Abbas, Nahavandi, Saeid, Creighton, Doug

    Published in IEEE transactions on sustainable energy (01-07-2013)
    “…Quantification of uncertainties associated with wind power generation forecasts is essential for optimal management of wind farms and their successful…”
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    Journal Article
  2. 2

    Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals by Khosravi, A, Nahavandi, S, Creighton, D, Atiya, A F

    Published in IEEE transactions on neural networks (01-03-2011)
    “…Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point…”
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    Journal Article
  3. 3

    Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays by Lakshmanan, S., Lim, C. P., Nahavandi, S., Prakash, M., Balasubramaniam, P.

    “…This brief is mainly concerned with a series of dynamical analyses of the Hindmarsh-Rose (HR) neuron with state-dependent time delays. The dynamical analyses…”
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    Journal Article
  4. 4

    An ocular biomechanic model for dynamic simulation of different eye movements by Iskander, J., Hossny, M., Nahavandi, S., del Porto, L.

    Published in Journal of biomechanics (11-04-2018)
    “…Simulating and analysing eye movement is useful for assessing visual system contribution to discomfort with respect to body movements, especially in virtual…”
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    Journal Article
  5. 5

    A database for using machine learning and data mining techniques for coronary artery disease diagnosis by Alizadehsani, R., Roshanzamir, M., Abdar, M., Beykikhoshk, A., Khosravi, A., Panahiazar, M., Koohestani, A., Khozeimeh, F., Nahavandi, S., Sarrafzadegan, N.

    Published in Scientific data (23-10-2019)
    “…We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted…”
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    Journal Article
  6. 6

    Unified selective sorting approach to analyse multi-electrode extracellular data by Veerabhadrappa, R., Lim, C. P., Nguyen, T. T., Berk, M., Tye, S. J., Monaghan, P., Nahavandi, S., Bhatti, A.

    Published in Scientific reports (24-06-2016)
    “…Extracellular data analysis has become a quintessential method for understanding the neurophysiological responses to stimuli. This demands stringent techniques…”
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    Journal Article
  7. 7

    Partial-State Observers for Nonlinear Systems by Trinh, H., Fernando, T., Nahavandi, S.

    Published in IEEE transactions on automatic control (01-11-2006)
    “…This note deals with the design of reduced-order observers for a class of nonlinear systems. The order reduction of the observer is achieved by only estimating…”
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    Journal Article
  8. 8

    Anodization parameters influencing the morphology and electrical properties of TiO2 nanotubes for living cell interfacing and investigations by Khudhair, D., Bhatti, A., Li, Y., Hamedani, H. Amani, Garmestani, H., Hodgson, P., Nahavandi, S.

    Published in Materials Science & Engineering C (01-02-2016)
    “…Nanotube structures have attracted tremendous attention in recent years in many applications. Among such nanotube structures, titania nanotubes (TiO2) have…”
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    Journal Article
  9. 9

    Computing of high breakdown regression estimators without sorting on graphics processing units by Beliakov, G., Johnstone, M., Nahavandi, S.

    Published in Computing (01-05-2012)
    “…We present an approach to computing high-breakdown regression estimators in parallel on graphics processing units (GPU). We show that sorting the residuals is…”
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    Journal Article
  10. 10

    High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks by Attia, M., Abobakr, A., Wei, L., Saleh, K., Iskander, J., Zhou, H., Nahavandi, D., Hossny, M., Nahavandi, S.

    “…In this paper we propose accelerating live rendering of flame using generative adversarial neural networks. The proposed method targets entertainment and…”
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    Conference Proceeding
  11. 11

    Automatic inspection of metallic surface defects using genetic algorithms by Zheng, H, Kong, L.X, Nahavandi, S

    Published in Journal of materials processing technology (09-09-2002)
    “…This paper is concerned with the problem of automatic inspection of metallic surface using machine vision. An experimental system has been developed to take…”
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    Journal Article
  12. 12

    Integrated optimization system for high pressure die casting processes by Kong, L.X., She, F.H., Gao, W.M., Nahavandi, S., Hodgson, P.D.

    Published in Journal of materials processing technology (26-05-2008)
    “…High pressure die casting (HPDC) is a versatile process for producing engineered metal parts by forcing molten metal under high pressure into reusable steel…”
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    Journal Article
  13. 13

    Design of scalar functional observers of order less than (ν − 1) by Trinh, H., Tran, T. D., Nahavandi, S.

    Published in International journal of control (01-12-2006)
    “…This paper presents a new method of designing scalar functional observers of order less than the well-known upper bound (ν − 1). A condition for the existence…”
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    Journal Article
  14. 14

    Enhancement of electro-chemical properties of TiO2 nanotubes for biological interfacing by Khudhair, D., Amani Hamedani, H., Gaburro, J., Shafei, S., Nahavandi, S., Garmestani, H., Bhatti, A.

    Published in Materials Science & Engineering C (01-08-2017)
    “…Micro/nano electrodes employing nanotubes has attracted paramount attention in recent years due to their inherent superior mechanical and structural…”
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    Journal Article
  15. 15

    DESIGN OF REDUCED-ORDER FUNCTIONAL OBSERVERS FOR LINEAR SYSTEMS WITH UNKNOWN INPUTS by Trinh, H., Fernando, T., Nahavandi, S.

    Published in Asian journal of control (01-12-2004)
    “…ABSTRACT This brief paper presents new conditions for the existence and design of reduced‐order linear functional state observers for linear systems with…”
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    Journal Article
  16. 16

    On-line tool condition monitoring and control system in forging processes by Kong, L.X, Nahavandi, S

    Published in Journal of materials processing technology (09-09-2002)
    “…Cold bulk metal forming has made large-scale production of small complex solid parts economically feasible. Tooling used in metal forming poses many…”
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    Journal Article
  17. 17

    At a glance: Cellular biology for engineers by Khoshmanesh, K., Kouzani, A.Z., Nahavandi, S., Baratchi, S., Kanwar, J.R.

    Published in Computational biology and chemistry (01-10-2008)
    “…Engineering contributions have played an important role in the rise and evolution of cellular biology. Engineering technologies have helped biologists to…”
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    Journal Article
  18. 18

    A Case for an International Consortium on System-of-Systems Engineering by De Laurentis, D., Dickerson, C., DiMario, M., Gartz, P., Jamshidi, M.M., Nahavandi, S., Sage, A.P., Sloane, E.B., Walker, D.R.

    Published in IEEE systems journal (01-09-2007)
    “…A system-of-systems (SoS) conceptualization is essential in resolving issues involving heterogeneous independently operable systems to achieve a unique…”
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    Journal Article
  19. 19

    An observer design procedure for a class of nonlinear time-delay systems by Trinh, H., Aldeen, M., Nahavandi, S.

    “…This paper considers a class of uncertain, nonlinear differential state delayed control systems and presents a reduced-order observer design procedure to…”
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    Journal Article
  20. 20

    A novel application of a microaccelerometer for target classification by Jinhui Lan, Tian Lan, Nahavandi, S.

    Published in IEEE sensors journal (01-08-2004)
    “…This paper presents a novel method of target classification by means of a microaccelerometer. Its principle is that the seismic signals from moving vehicle…”
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    Journal Article