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  1. 1
    Observer-based fault detection with fuzzy variable gains and its application to industrial servo system

    Observer-based fault detection with fuzzy variable gains and its application to industrial servo system by Eissa, Magdy Abdullah, Sali, Aduwati, Hassan, Mohd Khair, Bassiuny, A. M., Darwish, Rania R.

    Published 2020
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  2. 2
    Wearable based-sensor fall detection system using machine learning algorithm

    Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

    Published 2021
    “…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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  3. 3
    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network

    Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network by Karimi, Abbas, Abedini, S. M., Zarafshan, Faraneh, Syed Mohamed, Syed Abdul Rahman Al-Haddad

    Published 2013
    “…Then, the number and place of cluster heads are determined in base station by using genetic algorithm based on chaotic. …”
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  4. 4
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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  5. 5
    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks

    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

    Published 2014
    “…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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  6. 6
    Object detection technique for small unmanned aerial vehicle

    Object detection technique for small unmanned aerial vehicle by Ramli, M. Faiz, Legowo, Ari, Shamsudin, Syariful Syafiq

    Published 2017
    “…However, each of the sensor has its own advantage and disadvantage, thus we built the obstacle detection and avoidance system based multi sensor (monocular sensor and LIDAR) integration. …”
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  7. 7
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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  8. 8
    Vision Based Multi Sensor Feedback System For Robot System With Intelligent

    Vision Based Multi Sensor Feedback System For Robot System With Intelligent by Syed Mohamad Shazali, Syed Abdul Hamid

    Published 2009
    “…This research focuses on building a vision based feedback system for robotics application that consists of image processor and two vision-based sensor devices. …”
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  9. 9
    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting

    Simulation and Design of an Intelligent Mobile Robot for Fire Fighting by Chor, Keong Seng

    Published 2003
    “…A method of Path Recognition Algorithms (PRA) providing robots the autonomous ability to judge purpose of action likes human base on the input sensors from the environment. …”
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  10. 10
    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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  11. 11
    An Efficient Route Selection Based on AODV Algorithm for VANET

    An Efficient Route Selection Based on AODV Algorithm for VANET by Nassir Sallom , Kadhim, Mohammed, Muamer N., Mazlina, Abdul Majid, Sinan Q., Mohamd

    Published 2016
    “…Accident detection systems are one of the most effective (ITS) tools. …”
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  12. 12
    An Efficient Route Selection based on AODV Algorithm for VANET

    An Efficient Route Selection based on AODV Algorithm for VANET by Kadhim, Nassir, Mohammed, Muamer N., Mazlina, Abdul Majid, Mohamd, Sinan Q., Tao, Hai

    Published 2016
    “…Accident detection systems are one of the most effective (ITS) tools. …”
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  13. 13
    Data redundancy reduction scheme for data aggregation in wireless sensor network

    Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

    Published 2020
    “…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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  14. 14
    Void avoidance opportunistic routing density rank based for underwater sensor networks

    Void avoidance opportunistic routing density rank based for underwater sensor networks by Ismail, Nasarudin

    Published 2021
    “…Currently, the Underwater Sensor Networks (UWSNs) is mainly an attractive area due to its technological ability to gather valuable data from underwater environments such as tsunami monitoring sensors, military tactical applications, and environmental monitoring. …”
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  15. 15
    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
    “…When actuator fault, sensor fault or both faults occur, the controllers cannot function well and hence its performance reduce. …”
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  16. 16
    STUDY OF BEHAVIOUR-BASED NAVIGATION FOR INDOOR MOBILE ROBOT

    STUDY OF BEHAVIOUR-BASED NAVIGATION FOR INDOOR MOBILE ROBOT by Khalid, Abdullah

    Published 2020
    “…We are building Arduino based robot with Ultrasonic sensors. When autonomously driven, it will be capable of detecting obstacles and finding its on way to move towards the goal. …”
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  17. 17
    An Evolutionary Stream Clustering Technique for Outlier Detection

    An Evolutionary Stream Clustering Technique for Outlier Detection by Supardi, N.A., Abdulkadir, S.J., Aziz, N.

    Published 2020
    “…Most of the traditional density-based clustering is not applicable in data streams due to its own characteristics. …”
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  18. 18
    Real-time time series error-based data reduction for internet-of-things applications

    Real-time time series error-based data reduction for internet-of-things applications by Wong, Siaw Ling

    Published 2018
    “…This work is inspired by Perceptually Important Points (PIP) data reduction algorithm due to its superior data reduction ability. …”
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  19. 19
    Development of a computer vision-based technique for analysis of hand therapy exercise

    Development of a computer vision-based technique for analysis of hand therapy exercise by Muhammad Zabri, Abu Bakar

    Published 2018
    “…For this purpose, the ROM exercise was developed by using the hand detection and tracking, fingertips detection, skeleton joints detection algorithms and joint angle measurement algorithm. …”
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  20. 20
    Wall avoiding balbot

    Wall avoiding balbot by Sia, Lih Yin

    Published 2010
    “…The Balbot performs the task based on the sensorial information given by two IR sensors. …”
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