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Showing 1 - 4 results of 4 for search '(( binary based system detection algorithm ) OR ( binary 2 codon optimization algorithm ))', query time: 0.08s Refine Results
  1. 1
    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learning Models Based on Dimensionality Reduction

    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

    Published 2020
    “…Many people can find difficulty accessing diagnostic healthcare services for many reasons including, but not limited to economical and regional factors. ML based informal diagnostic and decision support systems can provide a first line of detection to alert patients about potential disease risk. …”
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  2. 2
    A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems

    A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems by Devinder Kaur (264278)

    Published 2023
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  3. 3
    Developing a framework for using face recognition in transit payment transactions

    Developing a framework for using face recognition in transit payment transactions by HABEH, ORABI MOHAMMAD ABDULLAH

    Published 2021
    “…The proposed framework involves the hardware, software, algorithms, and system specification requirements. Further, it provides a detailed end-to-end systems integration and transaction flow between the account-based ticketing, face recognition, and banking systems. …”
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  4. 4
    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE

    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE by ULLAH, SAAD

    Published 2022
    “…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …”
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