Search Results - (( developing co detection algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Diabetic retinopathy detection using Gray-Level Co-Occurrence Matrix / Aliff Azfar Aris by Aris, Aliff Azfar

    Published 2022
    “…The algorithm detects microaneurysms, exudates, and blood vessels from the images. …”
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    Thesis
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    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems by Alansi, M., Elshafiey, I., Al-Sanie, A., Mabrouk, A.

    Published 2016
    “…According to the results obtained from the developed algorithm and implementation tools, a high number of users can be physically possible and provided with support. …”
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    Article
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    Indoor occupancy detection using machine learning and environmental sensors / Akindele Segun Afolabi ... [et al.] by Afolabi, Akindele Segun, Akinola, Olubunmi Adewale, Odetoye, Oyinlolu Ayomidotun, Adetiba, Emmanuel

    Published 2025
    “…These algorithms were applied to data from environmental sensors such as temperature, humidity, carbon dioxide (CO2), and light sensors, and afterward. …”
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    Article
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    Gas inspector mobile robot as carbon monoxide source finder by Rezaeian, Sarah

    Published 2015
    “…For sensing unit, an array of three di↵erent kinds of semiconductor sensors of TGS series are used to detect the CO, which are inexpensive and commercially available. …”
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    Thesis
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    Design and development of an intuitive desktop application for rapid SARS-CoV-2 diagnosis using electrochemical potentiostat by Assaig, Faisal Ahmed, Gunawan, Teddy Surya, Nordin, Anis Nurashikin, Ab Rahim, Rosminazuin, Mohd Zain, Zainiharyati

    Published 2023
    “…In light of this, our research project aimed to develop and evaluate a highly efficient desktop application meticulously designed for a SARS-CoV-2 testing device based on electrochemical potentiostat principles. …”
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    Proceeding Paper
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    Stiffness reduction index for detection of damage location: Analytical study by Fayyadh, M.M., Razak, H.A.

    Published 2011
    “…The results obtained from this study revealed higher and better sensitivity of the developed index to detect a low damage intensity and at different locations along the length of the beam. …”
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    Article
  12. 12

    Engine fault diagnosis using probabilistic neural network by Sheng, Zhu, Min, Keng Tan, Ka, Renee Yin Chin, Bih, Lii Chua, Xiaoxi, Hao, Tze, Kenneth Kin Teo

    Published 2021
    “…A benchmarked engine fault model is developed and simulated in Maltab. The proposed algorithm is designed to detect 9 common engine faults based on the information extracted from exhaust gas, such as hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx), carbon dioxide (CO2) and dioxygen (O2). …”
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    Proceedings
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    LTE-based passive radar for ground target detection and tracking by Salah, Asem Ahmad Mohamad

    Published 2015
    “…Passive radar system constitute of a receiver without the co-located transmitter. It uses non-cooperated illumination sources for target detection and tracking. …”
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    Thesis
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    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…Integrating SSA and SVM machine learning algorithms improves decision-making processes, leading to better crop yield through early detection and timely nutrient management. …”
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    Thesis
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    Accurate Real Time Detection For Halal Logo Based On Fourier Magnitude Method by Ismail, Nurul Atiqah

    Published 2016
    “…Beside that, the objective of this research is to develop an algorithm Fractionalized Principle Magnitude to recognize all 50 approved Halal logo. …”
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    Thesis
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    Design and implementation of fuzzy based person following mobile robot by Rashid, Muhammad Mahbubur, Shafie, Amir Akramin, Alamgir, Tarik Bin

    Published 2011
    “…The Fuzzy system is made to work in combination with a Optoelectronic (IR) sensor detection algorithm which acquire the position in using co-ordinate system and the velocity of the person is detected by using ultrasonic sensor and these are used to generate the Fuzzy Inference System distance and velocity information necessary for the control process. …”
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    Proceeding Paper
  19. 19

    Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC) by Raj A, Arul Edwin, Ahmad, Nabihah, Durai S, Ananiah

    Published 2024
    “…The algorithm was successfully implemented in MATLAB 2020a, and the classifier was developed in Jupyter Notebook using Python. …”
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    Article
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