Search Results - (( parallel extraction path algorithm ) OR ( variable interactions sensor algorithm ))

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  1. 1

    Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor by Terence Jerome Daim

    Published 2023
    “…The developed algorithms interpret raw IR-UWB radar sensor data and associate it with specific hand gestures, addressing the core objective of gesture recognition. …”
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    Thesis
  2. 2

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…Parallel imaging is a robust method for accelerating the data acquisition in Magnetic Resonance Imaging (MRI). …”
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  3. 3

    Robust generalized multiplicative scatter correction algorithm on pretreatment of near infrared spectral data by Silalahi, Divo Dharma, Midi, Habshah, Arasan, Jayanthi, Mustafa, Mohd Shafie, Caliman, Jean-Pierre

    Published 2018
    “…The sensor requires a spectrometer to produce some sufficient information called spectrum as interaction between physical matters of the sample with the electromagnetic spectrum. …”
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    Article
  4. 4

    A new estimation of nonlinear contact forces of railway vehicle by Khakoo Mal, Imtiaz Hussain Kalwar, Khurram Shaikh, Tayab Din Memon, Bhawani Shankar Chowdhry, Kashif Nisar, Manoj Gupta

    Published 2021
    “…The purpose of this paper is to develop a model-based estimation technique using the Extended Kalman Filter (EKF) with inertial sensors to estimate non-linear wheelset dynamics in variable adhesion conditions. …”
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  5. 5

    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai by Vivian Koh , Ci Ai

    Published 2020
    “…Firstly, a simple state-space model of the CVS-BiVAD system was required prior to the development of an MPC algorithm. For this purpose, a complex CVS-BiVAD model was simplified by reducing the number of state variables. …”
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  6. 6

    WiFi-based human activity recognition through wall using deep learning by Wong, Yan Chiew, Ahmed Abuhoureyah, Fahd Saad, Mohd Isira, Ahmad Sadhiqin

    Published 2023
    “…Furthermore, a deep learning algorithm based on RNN with an LSTM algorithm is used to classify the activity instances indoors, achieving up to 97.5% accuracy in classifying seven activities. …”
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