Search Results - (( data application sensor algorithm ) OR ( parameter detection method algorithm ))

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  1. 1
    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan

    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan by Adenan, Muhammad Nasrul Hakim

    Published 2013
    “…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
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  2. 2
    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli

    Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli by Hakim Adenan, Muhammad Nasrul, Zolkapli, Maizatul

    Published 2013
    “…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
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  3. 3
    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar

    Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

    Published 2017
    “…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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  4. 4
    Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT

    Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT by Malik, Ahmed Dhahir

    Published 2019
    “…This thesis proposes to design a Faulty Sensor Detection Mechanism using the data correlation method of multivariate sensors. …”
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  5. 5
    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan

    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

    Published 2020
    “…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
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  6. 6
    Fault Detection and Identification in Quadrotor System (Quadrotor Robot)

    Fault Detection and Identification in Quadrotor System (Quadrotor Robot) by Chan, Shi Jing, Pebrianti, Dwi

    Published 2016
    “…The aim of the research is to construct and design a Fault Detection and Isolation algorithm. This dynamic model is based on the first principles of the Quadrotor: Propeller model and its force as well as moments generation. …”
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  7. 7
    Vision-Based Autonomous Vehicle Driving Control System

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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  8. 8
    Vision-based autonomous vehicle driving control system

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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  9. 9
    Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle

    Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle by Chan, Shi Jing

    Published 2018
    “…This thesis introduces the application of time-domain Hybrid Fault Detection (HFD) methods for application in a quadrotor Micro Aerial Vehicle (MAV). …”
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  10. 10
    Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti

    Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti by Abd Mukti, Shahrul Nizan

    Published 2022
    “…Meanwhile, nine (9) classifier algorithms and forty (40) band stack combinations were deployed to classify the pothole edge. …”
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  11. 11
    Modelling of intelligent intrusion detection system: making a case for snort

    Modelling of intelligent intrusion detection system: making a case for snort by Olanrewaju, Rashidah Funke, Ku zahir, Ku Nor Afiza, Asnawi, Ani Liza, Sanni, Mistura Laide, Ahmed, Abdulkadir Adekunle

    Published 2018
    “…Hence, this study proposes a method for early detection of an intrusion by using Snort software. …”
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    Proceeding Paper
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  12. 12
    Hybrid vehicle engine misfire detection using Piezo-film Sensors and analysing with Z-freq / Nor Azazi Ngatiman and Mohd Zaki Nuawi

    Hybrid vehicle engine misfire detection using Piezo-film Sensors and analysing with Z-freq / Nor Azazi Ngatiman and Mohd Zaki Nuawi by Ngatiman, Nor Azazi, Nuawi, Mohd Zaki

    Published 2018
    “…This paper explores the application of standard deviation and kurtosis to formulate a new statistical method for hybrid electric vehicle (HEV) engine misfire detection named as Z-freq. …”
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  13. 13
    Portable Stress Detection System for Autistic Children Using Fuzzy Logic

    Portable Stress Detection System for Autistic Children Using Fuzzy Logic by Melinda Melinda, Verdy Setiawan, Yunidar Yunidar, Gopal Sakarkar, Nurlida Basir

    Published 2024
    journal::journal article
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  14. 14
    The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan

    The development of Muscle Fatigue Prediction model from muscle torque and contraction data / Keshasni Earichappan by Keshasni , Earichappan

    Published 2023
    “…The average MC and torque data were set as input parameters and binary formed fatigue levels were set as output parameters. …”
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  15. 15
    Monitoring water quality in Pusu river using Internet of Things (IoT) and Machine Learning (ML)

    Monitoring water quality in Pusu river using Internet of Things (IoT) and Machine Learning (ML) by Kabbashi, Nassereldeen Ahmed, Hasan, Tahsin Fuad, Alam, Md Zahangir, Saleh, Tanveer, Hassan Abdalla Hashim, Aisha

    Published 2024
    “…During the first iteration, data were gathered using sensors that measured four parameters: pH, turbidity, temperature, and total dissolved solids (TDS). …”
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  16. 16
    Quantifying forest disturbance using LiDAR data and time series Landsat images / Syaza Rozali

    Quantifying forest disturbance using LiDAR data and time series Landsat images / Syaza Rozali by Rozali, Syaza

    Published 2021
    “…Two fusion data are tested; 1) SpectralLandsat and 2) SpectralLandsat + HeightALS by Random Forest and Support Vector Machine classification algorithm. …”
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  17. 17
    Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image

    Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image by Samsudin, Sarah Hanim

    Published 2016
    “…Three feature selection algorithms of Genetic Algorithm (GA), Support Vector Machine (SVM) and Random Forest (RF) were used to select the most significant wavelengths since the algorithms works well with large size of data and widely applied for feature selection of hyperspectral remote sensing data. …”
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  18. 18
    Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor

    Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor by Adilah, Abdul Ghapor

    Published 2017
    “…The simulation results indicate that the proposed method is suitable to detect a single outlier. As for the multiple outliers, a clustering algorithm is considered and a dendogram to visualise the clustering algorithm is used. …”
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  19. 19
    Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam

    Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam by Fayyadh, M.M., Abdul Razak, H.

    Published 2011
    “…This study verifies the use of the proposed weighting method by Fayyadh and Abdul Razak (2011a) for damage detection algorithms applied on cracked steel beam. …”
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  20. 20
    Weighting method for modal parameter based damage detection algorithms

    Weighting method for modal parameter based damage detection algorithms by Fayyadh, M.M., Abdul Razak, H.

    Published 2011
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