Showing 141 - 160 results of 412 for search '((shine OR ((hinge OR chinges) OR (hing OR shing))) OR ((spenggl OR (ann OR pingao)) OR ping))', query time: 0.08s Refine Results
  1. 141

    EMG motion pattern classification through design and optimization of neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2012
    “…This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. …”
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    Proceeding Paper
  2. 142

    Intelligent solar panel monitoring system and shading detection using artificial neural networks by M. Abdallah, Fahad Saleh, Abdullah, M.N., Musirin, Ismail, M. Elshamy, Ahmed

    Published 2023
    “…This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. …”
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    Article
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  7. 147

    Comparison of intelligent approaches for cycle time prediction in injection moulding of a medical device product by Kariminejad, Mandana, Tormey, David, Huq, Saif, Morrison, Jim, McAfee, Marion

    Published 2021
    “…The relationship between the process input variables and the resulting cycle time is mapped with an artificial neural network (ANN) and an adaptive neuro-fuzzy system (ANFIS). …”
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    Conference or Workshop Item
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  10. 150

    Dynamic load forecasting for commercial power network by Alzalet, Abdusalam Rajb

    Published 2014
    “…When the approaches are compared according to their highest prediction error, the highest error for linear regression and Polynomial equation approaches are very high compared to the ANN approach. Generally the ANN approach has produced better results.…”
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    Thesis
  11. 151
  12. 152

    Computational intelligence techniques for hand gesture recognition by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
    “…ANN and its variation such as have be<:n used for SL geslure recognition in any forms as in [4]_ Two noticed research work for gesltlre recognilion using ANN where 3D Hopfield NN [5] and Time-Delay NN (TDNN) has been developed by [6]. …”
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    Book Chapter
  13. 153
  14. 154

    Predictive models in near-infrared spectroscopic analysis for blood hemoglobin prediction by Mohd Idrus, Mohd Nazrul Effendy

    Published 2018
    “…The aims of this study is to investigate the accuracy of linear partial least square (PLS), nonlinear artificial neural network (ANN), and hybrid partial least square - artificial neural network (PLS-ANN) predictive modelling in NIRS analysis. …”
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    Thesis
  15. 155

    Statistical process control in stamping process using pattern recognition approach by Abdul Rahman, Norasulaini

    Published 2018
    “…In this study, a new CCPR framework by using statistical features ANN recogniser with real SPC samples as the training control chart patterns was investigated. …”
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    Thesis
  16. 156

    Surface roughness modeling for CNC end milling using artificial neural network by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas

    Published 2013
    “…The artificial neural network (ANN) was applied to simulate and study the effect of high cutting speed on the surface roughness.…”
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    Proceeding Paper
  17. 157
  18. 158

    Damage intensity class for reinforced concrete beam-column joint subjected to lateral cyclic loading by Ganasan, Reventheran

    Published 2021
    “…Keywords: RC beam-column joint; Acoustic emission; Lateral cyclic loading; Shear link aspect; Anchorage length aspect; ANN prediction models…”
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    Thesis
  19. 159
  20. 160

    Design optimization for the two-stage bivariate pattern recognition scheme by Mokhtar, Mohd Shukri

    Published 2015
    “…In order to overcome this issue, many researches proposed an artificial neural network (ANN) - based pattern recognition schemes. Such schemes were mainly utilize raw data as input representation into an ANN recognizer, which resulted in limited performance. …”
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    Thesis