Search Results - (( using vector ((sensor algorithm) OR (based algorithm)) ) OR ( java implication _ algorithm ))

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  1. 1

    Distance vector-hop range-free location algorithm for wireless sensor network by Zazali, Azyyati Adiah

    Published 2015
    “…The localization algorithms for sensor nodes can be classified into three categories; range-based, rangefree and hybrid. …”
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    Thesis
  2. 2

    Flood Control Distance Vector Hop (FCDV-Hop) localization in wireless sensor networks by Zazali, Azyyati Adiah, Subramaniam, Shamala, Ahmad Zukarnain, Zuriati

    Published 2020
    “…Distance Vector-Hop (DV-Hop) localization is a distributed, hop by hop positioning algorithm. …”
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    Article
  3. 3
  4. 4

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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    Article
  5. 5

    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network by Zhong, X., Mohammadi, A., Premkumar, A.B., Asif, A.

    Published 2015
    “…Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. …”
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    Article
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    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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    Proceeding Paper
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    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…In this thesis, a new quaternion gradient based adaptive algorithm for FIR adaptive filter is developed. …”
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    Thesis
  10. 10

    Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset by Amirruddin, A., Aziz, I.A., Hasan, M.H.

    Published 2020
    “…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
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    Article
  11. 11

    Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements by Mohammad Abdelrahman, Mohammad Ibraheem

    Published 2013
    “…The goal of this paper is to develop an algorithm for sun vector estimation without any explicit measurements from sun sensors. …”
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    Proceeding Paper
  12. 12

    Minimising coverage holes for prediction-based mobile object target tracking in wireless sensor networks by Ali, Khalid Abdullahi

    Published 2017
    “…From the simulation results, the proposed coverage hole algorithm shows a coverage gain of up to 14%. However, on average, the proposed vector space algorithm shows 3% to 4% improvement in the percentage coverage, as compared to the previous algorithm. …”
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    Thesis
  13. 13
  14. 14

    Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi by Mazhar, Hussain Abbasi

    Published 2013
    “…Simulation is done by using the observer which uses optimal feedback gain as an example of process from algorithm design to verification of logic. …”
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    Thesis
  15. 15

    Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression by Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

    Published 2021
    “…The energy band gap of doped bismuth ferrite is modeled in this contribution through the fusion of a support vector regression (SVR) algorithm with a gravitational search algorithm (GSA) using crystal lattice distortion as a predictor. …”
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    Article
  16. 16

    Object Recognition Using Soft Sensors by Lim, Chu Chen

    Published 2021
    “…However, there is a lack of study to equip the soft sensors with a smart feature. Therefore, this study proposes a smart glove that can recognise objects using a support vector machine (SVM), a supervised machine learning algorithm. …”
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    Final Year Project / Dissertation / Thesis
  17. 17

    A wheelchair sitting posture detection system using pressure sensors by Mohamad Yusoff, Muhammad Annuar Alhadi, Azmi, Nur Liyana, Nordin, Nor Hidayati Diyana

    Published 2024
    “…Three classification algorithms based on the supervised learning of machine learning, such as support vector machine (SVM), random forest (RF),and decision tree (DT) were used to classify the postures which produced an accuracy of 95.44%, 98.72%,and 98.80%, respectively. …”
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    Article
  18. 18

    Two steps hybrid calibration algorithm of support vector regression and K-nearest neighbors by Hamed, Y., Ibrahim Alzahrani, A., Shafie, A., Mustaffa, Z., Che Ismail, M., Kok Eng, K.

    Published 2020
    “…The hybrid algorithm was evaluated using a dataset of pipeline corrosion measurements collected by a Magnetic Flux Leakage (MFL) sensor (with an error margin of ±20 of the true values), and an Ultrasonic (UT) device (with an error margin of ±4). …”
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  19. 19

    Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid by Gaeid, Khalaf Salloum

    Published 2012
    “…This thesis aims at exploring the fault tolerant control of the IMs. This involves sensor based closed loop vector control for a healthy IM, Variable frequency with constant flux(V/F) closed loop for both stator open winding and stator short winding faults , V/F open loop to control the drive in case of minimum voltage fault and using the sensorless vector control in case of encoder faults. …”
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    Thesis
  20. 20

    An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification by Wan Azman,, Wan Nur Fadhlina Syamimi, Ku Azir, Ku Nurul Fazira, Mohd Khairuddin, Adam

    Published 2024
    “…The data from the gas sensors was analysed using machine learning methods, namely Random Forest, k-nearest Neighbors, Support Vector Machine, and Linear Discriminant Analysis. …”
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    Article