Search Results - (( data implication sensor algorithm ) OR ( parametric classification learning algorithm ))

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  1. 1
    Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach

    Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

    Published 2009
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  2. 2
    Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach

    Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach by Riska Wahyu, Romadhonia, A'yunin, Sofro, Danang, Ariyanto, Dimas Avian, Maulana, Junaidi Budi, Prihanto

    Published 2023
    “…This study investigates the application of Decision Trees (DTs), a non-parametric supervised learning method, renowned for its simplicity, interpretability, and wide applicability in various domains, including machine learning for classification and regression tasks. …”
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  3. 3
    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)

    An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM) by Shamim, Akhtar

    Published 2024
    “…The scope of this study is tri folded, First, an exhaustive and parametric comparative study on a wide variety of machine learning algorithms is presented to evaluate the performance of machine learning algorithms in energy load prediction. …”
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  4. 4
    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques

    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques by Kayalvily, Tabianan, Denis, Arputharaj, Mohd Norshahriel, Abd Rani, Sarasvathi, Nahalingham

    Published 2022
    “…This study aims to predict the ratings of Google Play Store apps using decision trees for classification in machine learning algorithms. The goal of using a Decision Tree is to create a training model that can use to predict the class or value of the target variable by learning simple decision rules inferred from prior data. …”
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  5. 5
    Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms

    Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

    Published 2018
    “…The experimental results are also thoroughly evaluated and verified via non-parametric statistical analysis. Based on the obtained experimental results, the OGC, DPSO, and VDEO frameworks achieved an average enhancement up to 24.36%, 9.38%, and 11.98% of classification accuracy, respectively. …”
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  6. 6
    Image Splicing Detection With Constrained Convolutional Neural Network

    Image Splicing Detection With Constrained Convolutional Neural Network by Lee, Yang Yang

    Published 2019
    “…The constrained layer enables the CNN model to learn the required features directly from ubiquitous image input and then performs classification. …”
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  7. 7
    Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms

    Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms by Shaharum, Nur Shafira Nisa, Mohd Shafri, Helmi Zulhaidi, Wan Ab. Karim Ghani, Wan Azlina, Samsatli, Sheila, Al-Habshi, Mohammed Mustafa, Yusuf, Badronnisa

    Published 2020
    “…In this study, 30 m Landsat 8 data were processed using a cloud computing platform of Google Earth Engine (GEE) in order to classify oil palm land cover using non-parametric machine learning algorithms such as Support Vector Machine (SVM), Classification and Regression Tree (CART) and Random Forest (RF) for the first time over Peninsular Malaysia. …”
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  8. 8
    Evaluation of a spacecraft attitude and rate estimation algorithm

    Evaluation of a spacecraft attitude and rate estimation algorithm by Abdullah, Mohammad Nizam Filipski, Varatharajoo, Renuganth

    Published 2010
    “…Design/methodology/approach: The algorithm requires only geomagnetic field data and can be used as a low‐cost alternative or as a back‐up estimator in the case of attitude sensor failures. …”
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  9. 9
    Development of compound clustering techniques using hybrid soft-computing algorithms

    Development of compound clustering techniques using hybrid soft-computing algorithms by Salim, Naomie, Shamsuddin, Siti Mariyam, Salleh @ Sallehuddin, Roselina, Alwee, Razana

    Published 2006
    “…The feed forward and radial basis functions networks show higher learning capabilities than support vector machines and rough set classifier in the classification of datasets comprising more than two classes. …”
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  10. 10
    Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin

    Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin by Azmi, Muhammad, Mahyuddin, Muhammad Naim

    Published 2023
    “…These devices collect and transmit data to a centralised cloud-based platform. Advanced data analytics and machine learning algorithms process this data, enabling the system to detect potential safety hazards, monitor construction progress, and predict resource requirements. …”
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  11. 11
    Smart Glove for Sign Language Translation

    Smart Glove for Sign Language Translation by Ahmad Imran, Mohd Thaim, Norazlianie, Sazali, Kadirgama, Kumaran, Ahmad Shahir, Jamaludin, Faiz, Mohd Turan, Norhaida, Ab. Razak

    Published 2023
    “…The Smart Glove utilizes only one sensor, flex sensors, to capture hand movements and gestures. …”
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  12. 12
    Computational analysis of biological data: Where are we?

    Computational analysis of biological data: Where are we? by Soreq, Lilach, Mohamed, Wael Mohamed Yousef

    Published 2024
    “…Computer modeling allows such electrical stimulations using statistics, bioinformatics and advanced machine-learning algorithms. The current book chapter discusses the advantages of computational modeling in studying biomedical research. …”
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  13. 13
    Application of Artificial Intelligence In Smart City

    Application of Artificial Intelligence In Smart City by Law, Jia Wei

    Published 2021
    “…Meanwhile, a smart city is a city concept, which is integrated with several intelligent technologies such as Big Data, sensors, and 5G connectivity. This study aims to study the effects of the implementation of AI in the smart city. …”
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    Final Year Project / Dissertation / Thesis
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  14. 14
    A conceptual anonymity model to ensure privacy for sensitive network data

    A conceptual anonymity model to ensure privacy for sensitive network data by Arafat, N.H.M., Pramanik, Md Ileas, Abu Jafar, Md Muzahid, Lu, Bibo, Jahan, Sumaiya, Murad, Saydul Akbar

    Published 2021
    “…Researchers have identified the privacy implications of large data collections and contributed to the preservation of data from unauthorised exposure to solve the challenge of information privacy. …”
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  15. 15
    Development of gesture-controlled robotic arm for upper limb hemiplegia therapy

    Development of gesture-controlled robotic arm for upper limb hemiplegia therapy by Wan Azlan, Wan Norliyana

    Published 2022
    “…In conclusion, these findings have significant implications for the understanding of hand recognition application towards robotic-based upper limb assistive and rehabilitation procedures.…”
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  16. 16
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…Secondly, four different testing scenarios are chosen to acquire pedestrian walking data using the gyroscope sensor, where the essential features were extracted and selected. …”
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  17. 17
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…Secondly, four different testing scenarios are chosen to acquire pedestrian walking data using the gyroscope sensor, where the essential features were extracted and selected. …”
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