Search Results - (( motion detection path algorithm ) OR ( early classification system algorithm ))*

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  1. 1
    Integration of Image Processing Algorithm and Path Planning for Search and Rescue Robot

    Integration of Image Processing Algorithm and Path Planning for Search and Rescue Robot by Wong, Chun Yew

    Published 2017
    “…The focus of this project was to explore algorithms and techniques used in motion detection, object recognition and facial recognition, path finding as well as obstacle avoidance. …”
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    Final Year Project
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  2. 2
    Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System

    Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System by Al-Hameli, Bassam Abdo, Alsewari, Abdulrahman A., Alraddadi, Abdulaziz Saleh, Aldhaqm, Arafat

    Published 2021
    “…The proposed method has three steps: preprocessing, feature selection and classification. Several combinations of Harmony search algorithm, genetic algorithm, and particle swarm optimization algorithm are examined with K-means for feature selection. …”
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  3. 3
    Path Planning and Control of Mobile Robot in Road Environments using Sensor Fusion and Active Force Control

    Path Planning and Control of Mobile Robot in Road Environments using Sensor Fusion and Active Force Control by Ali, Mohammed A. H., Mailah, Musa

    Published 2018
    “…The sensor fusion algorithm is used to remove noises and uncertainties from sensors' data and provide optimum measurements for path planning. …”
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  4. 4
    Motion estimation on homogenous surface for around view monitoring system

    Motion estimation on homogenous surface for around view monitoring system by Hanizam, Syahirah, Nik Hashim, Nik Nur Wahidah, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus, Abdul Rahman, Hasbullah, Mahamud, Nurul Hidayah

    Published 2020
    “…However, block matching algorithm based on normalized cross-correlation (CCORR NORMED) and normalised correlation coefficient (CCOEFF NORMED) were able to detect all templates correctly with 0% of false detection on our dataset.…”
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  5. 5
    Obstacle Detection And Avoidance System

    Obstacle Detection And Avoidance System by Yew, Chang Chern

    Published 2018
    “…The robot car is designed to avoid obstacle detected in front of the robot car and continues to move back the path in straight line. …”
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    Monograph
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  6. 6
    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification

    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification by Chong, Hou Ming, Yin Yap, Xien, Seng Chia, Kim

    Published 2023
    “…In implementing an automation plantation system, a plant health classification system is necessary in monitoring the health of the plants. …”
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  7. 7
    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification

    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification by Hou Ming Chong, Hou Ming Chong, Xien Yin Yap, Xien Yin Yap, Kim Seng Chia, Kim Seng Chia

    Published 2023
    “…In implementing an automation plantation system, a plant health classification system is necessary in monitoring the health of the plants. …”
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  8. 8
    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification

    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification by Hou Ming Chong, Hou Ming Chong, Xien Yin Yap, Xien Yin Yap, Kim Seng Chia, Kim Seng Chia

    Published 2023
    “…In implementing an automation plantation system, a plant health classification system is necessary in monitoring the health of the plants. …”
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  9. 9
    Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle

    Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle by Hao, Wang, Asrul, Adam, Fengrong, Han

    “…As the results, the accuracy of CNN classification has improved at least 6 percent compared to the conventional algorithms.…”
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  10. 10
    Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition

    Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2021
    “…FID3 algorithm combined the fuzzy system and decision tree techniques with ID3 algorithm as the decision tree learning. …”
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  11. 11
    Accuracy and performance analysis for classification algorithms based on biomedical datasets

    Accuracy and performance analysis for classification algorithms based on biomedical datasets by Al-Hameli, Bassam Abdo, Alsewari, Abdulrahman A., Khubrani, Mousa, Fakhreldin, Mohammoud

    Published 2021
    “…The study suggests finding a classifier among the most common kinds of classification algorithms within a combined approach represent in Bayesian, Trees, Rules, Function, and lazy algorithms to automate a better performance of early detection of diseases from the medical datasets. …”
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  12. 12
    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification

    Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification by Hou Ming Chong, Hou Ming Chong, Xien Yin Yap, Xien Yin Yap, Kim Seng Chia, Kim Seng Chia

    Published 2023
    “…In implementing an automation plantation system, a plant health classification system is necessary in monitoring the health of the plants. …”
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  13. 13
    A preliminary lightweight random forest approach-based image classification for plant disease detection

    A preliminary lightweight random forest approach-based image classification for plant disease detection by Mashitah Ibrahim, Muzaffar Hamzah, Mohammad Fadhli Asli

    Published 2022
    “…Random Forest is a special kind of ensemble learning technique and it turns out to perform very well compared to other classification algorithms such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN). …”
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  14. 14
    Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu

    Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu by Pala, Tuba, Camurcu, Ali Yilmaz

    Published 2014
    “…The success evaluation of data mining classification algorithms have been realized through the data mining programs Weka and RapidMiner. …”
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  15. 15
    MOBILE ROBOT

    MOBILE ROBOT by ABU KASSIM, ABU MASNUR

    Published 2004
    “…Extended functions of the microcontroller is to create a 2Dterrain map, and plan its path to any specified target point. These are to be achieved by Voronoi Diagram or Delaunay Triangulation method for mapping, and a combination of one or more of the Dijkstra, Bellman, Ford, Moore, Johnson, Floyd-Warshal, or A* algorithms for best path calculation. …”
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  16. 16
    Feature extraction: hand shape, hand position and hand trajectory path

    Feature extraction: hand shape, hand position and hand trajectory path by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

    Published 2011
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  17. 17
    Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan

    Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan by Shahron Nizan, Muhammad Shahmi

    Published 2023
    “…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. The results show the algorithm's impressive performance with an 86% precision in predicting ASD traits. …”
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    Thesis
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  18. 18
    Ganoderma boninense disease detection by near-infrared spectroscopy classification: a review

    Ganoderma boninense disease detection by near-infrared spectroscopy classification: a review by Mas Ira Syafila, Mohd Hilmi Tan, Mohd Faizal, Jamlos, Ahmad Fairuz, Omar, Fatimah, Dzaharudin, Chalermwisutkul, Suramate, Akkaraekthalin, Prayoot

    Published 2021
    “…This review describes past and future prospects of integrated research of near-infrared spectroscopy (NIRS), machine learning classification for predictive analytics and signal processing towards an early G. boninense detection system. …”
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  19. 19
    An early warning detection system of terrorism in indonesia from Twitter contents using naïve bayes algorithm

    An early warning detection system of terrorism in indonesia from Twitter contents using naïve bayes algorithm by Aryuni, Mediana, Miranda, Eka, Fernando, Yudi, Kibtiah, Tia Mariatul

    Published 2020
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  20. 20
    Malware Classification and Detection using Variations of Machine Learning Algorithm Models

    Malware Classification and Detection using Variations of Machine Learning Algorithm Models by Andi Maslan, Andi Maslan, Abdul Hamid, Abdul Hamid

    Published 2025
    “…Therefore, reliable network operations are a factor that needs to be considered to prevent attacks as early as possible in order to avoid more severe system damage. …”
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