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  1. 1
    Rao-blackwellized particle filter algorithm integrated with neural network sensor model using laser distance sensor

    Rao-blackwellized particle filter algorithm integrated with neural network sensor model using laser distance sensor by Norhidayah, Mohamad Yatim, Mohd Noh, Zarina, Jamaludin, Amirul, Buniyamin, Norlida

    Published 2023
    “…The experiment is validated by comparing the occupancy grid maps estimated by RBPF integrated with the ANN sensor model and RBPF without ANN. …”
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  2. 2
    Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network

    Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network by M. Almassri, Ahmed M., Wan Hasan, Wan Zuha, Ahmad, Siti Anom, Shafie, Suhaidi, Wada, Chikamune, Horio, Keiichi

    Published 2018
    “…To verify the proposed model’s capability to build a self-calibration algorithm, the model was tested using an untrained input data set. …”
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  3. 3
    Real time self-calibration algorithm of pressure sensor for robotic hand glove system

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…The model was tested using an untrained input data set in order to verify the Proposed model’s capability for implementing a self-calibration algorithm. …”
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  4. 4
    An efficient real-time data collection model for multivariate sensors in internet of things (IOT) applications

    An efficient real-time data collection model for multivariate sensors in internet of things (IOT) applications by MOhammed Alduais, Nayef Abdulwahab

    Published 2019
    “…EDCD aims to save the energy consumption of the IoT sensor board with multiple sensors by means of reducing the number of transmission packets, if no significant change is reported by the payload sensing block; second is proposed a validity of the measuring sensor reading at node level (VSNL) algorithm. …”
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  5. 5
    Activity recognition based on accelerometer sensor using combinational classifiers

    Activity recognition based on accelerometer sensor using combinational classifiers by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran

    Published 2015
    “…The result of classification was validated using 10-fold cross validation algorithm in order to make sure all the experiments perform well.…”
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  6. 6
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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  7. 7
    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer

    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer by Tuerxun, Adilijiang

    Published 2017
    “…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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  8. 8
    Prediction of Machine Failure by Using Machine Learning Algorithm

    Prediction of Machine Failure by Using Machine Learning Algorithm by Fakhrurazi, Nur Amalina

    Published 2019
    “…Validation for the model is analyzed by using validation testing data and cross validation. …”
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  9. 9
    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming

    Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P., Saad, N.B., Ibrahim, R.B., Dass, S.C.

    Published 2017
    “…The coverage of the visual sensor array is modeled descriptively using an enhanced pinhole camera model to obtain the layout of the field of view. …”
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  10. 10
    Activity Recognition Based On Accelerometer Sensor Using Combinational Classifiers

    Activity Recognition Based On Accelerometer Sensor Using Combinational Classifiers by Muhammad Noorazlan Shah, Zainuddin, Md Nasir, Sulaiman, Norwati, Mustapha, Thinagaran, Perumal

    Published 2015
    “…The result of classification was validated using 10-fold cross validation algorithm in order to make sure all the experiments perform well.…”
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  11. 11
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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  12. 12
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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  13. 13
    Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot

    Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot by Jamaludin, Amirul

    Published 2024
    “…By training the ANN using sensor measurements, it learns to model the data and reduce the error or uncertainties present in the measurements obtained from the low-cost sensors. …”
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  14. 14
    Calibration model of a low-cost air quality sensor using an adaptive neuro-fuzzy inference system

    Calibration model of a low-cost air quality sensor using an adaptive neuro-fuzzy inference system by Ezani, Nur Eliani, alhasa, kemal maulana, Mohd Nadzir, Mohd Shahrul, Latif, Mohd Talib, Olalekan, Popoola, Yusup, Yusri, Faruque, Mohammad Rashed Iqbal, Ahamad, Fatimah, Abd. Hamid, Haris Hafizal, Aiyub, Kadaruddin, Md Ali, Sawal Hamid, Khan, Md Firoz, Abu Samah, Azizan, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku Mohd Farid

    Published 2018
    “…These results suggest that the ANFIS model is promising as a calibration tool since it has the capability to improve the accuracy and performance of the low-cost electrochemical sensor.…”
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  15. 15
    Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation

    Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation by Fernandez, Ibai Gorordo, Ahmad, Siti Anom, Wada, Chikamune

    Published 2020
    “…The proposed cane contact phase prediction model achieved higher accuracy than the previous models. …”
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  16. 16
    Development of collision avoidance system for useful UAV applications using image sensors with laser transmitter

    Development of collision avoidance system for useful UAV applications using image sensors with laser transmitter by Cheong, M. K., Md Ali, Syaril Azrad, Azrad, S.

    Published 2016
    “…A number of collision avoidance flight tests were carried out to validate the performance of the stereo vision and control algorithm based on image sensors. …”
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  17. 17
    Speed sensorless control of permanent magnet synchronous motor using model reference adaptive system and artificial neural network / Abdul Mu’iz Nazelan

    Speed sensorless control of permanent magnet synchronous motor using model reference adaptive system and artificial neural network / Abdul Mu’iz Nazelan by Nazelan, Abdul Mu’iz

    Published 2019
    “…First, the field oriented control (FOC) is modelled and validated using sensor-based method to ensure its ability in controlling the PMSM. …”
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  18. 18
    Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System

    Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System by Alhasa, Kemal, Mohd Nadzir, Mohd, Olalekan, Popoola, Latif, Mohd, Yusup, Yusri, Iqbal Faruque, Mohammad, Ahamad, Fatimah, Abd Hamid, Haris, Aiyub, Kadaruddin, Md Ali, Sawal, Khan, Md, Samah, Azizan Abu, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku, Ezani, Nor

    Published 2018
    “…These results suggest that the ANFIS model is promising as a calibration tool since it has the capability to improve the accuracy and performance of the low-cost electrochemical sensor.…”
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  19. 19
    A survey of simulators, emulatots and testbeds for Wireless Sensor Network

    A survey of simulators, emulatots and testbeds for Wireless Sensor Network by Muhammad, Imran, Md Said, Abas, Hasbullah, Halabi

    Published 2010
    “…We have highlighted an open research issue to have an integrated tool that supports modeling, simulation, emulation and testbed implementation for algorithm validation, performance evaluation and proof-of-concept implementation in WSNs.…”
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  20. 20
    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering

    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…A superior performance is achieved by the proposed algorithms in system modeling where the DQLMS was able to track the correct weights values of the different modeled systems 430 sample faster than the QLMS and ZA-QLMS algorithms while the WL-DQLMS was faster than the WLQLMS algorithm by 950 samples. …”
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