Search Results - solution ((((calibration techniques) OR (computing techniques))) OR (learning techniques))

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  1. 1

    Sedentary sitting posture recognition with YOLOv3 algorithm / Muhammad Amin Mohamad Razali by Mohamad Razali, Muhammad Amin

    Published 2023
    “…The objective of this paper is to design, develop, and test a sitting posture recognition system using deep learning technique. Therefore, this paper discusses on the usage of deep learning techniques sitting posture recognition and presents the usage of You Only Look Once (YOLO) deep learning model, specifically the YOLOv3 model for this task. …”
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    Calibrating hand gesture recognition for stroke Rehabilitation Internet-of-Things (RIOT) using MediaPipe in smart healthcare systems by Zainuddin, Ahmad Anwar, Mohd Dhuzuki, Nurul Hanis, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina

    Published 2024
    “…To ensure precise rehabilitation assessments, this initiative seeks to enhance accessible home-based stroke rehabilitation by producing optimal and secure calibrated hand gesture recognition with practical recognition techniques. …”
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    Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System by Alhasa, Kemal, Mohd Nadzir, Mohd, Olalekan, Popoola, Latif, Mohd, Yusup, Yusri, Iqbal Faruque, Mohammad, Ahamad, Fatimah, Abd Hamid, Haris, Aiyub, Kadaruddin, Md Ali, Sawal, Khan, Md, Samah, Azizan Abu, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku, Ezani, Nor

    Published 2018
    “…One possible solution to complement these techniques is the application of low-cost air quality sensors (LAQSs), which have the potential to give higher spatial and temporal data of gas pollutants with high precision and accuracy. …”
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    A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

    Published 2025
    “…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
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  9. 9

    Using biometric techniques to secure online student assessment: Comparative study by Ibrahim, Jamaludin, Ali, Muna A., Nassr, Rasheed

    Published 2011
    “…Many proposed solutions use different biometric techniques to identify and authenticate student continuously, they use different techniques with different measures. …”
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  10. 10

    A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture by Akbar, Jalal Uddin Md, Syafiq Fauzi, Kamarulzaman, Abu Jafar, Md Muzahid, Rahman, Md. Arafatur, Uddin, Mueen

    Published 2024
    “…This paper provides a focused review of recent advancements in deep learning-enabled computer vision techniques tailored specifically for greenhouse environments. …”
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    Computational model of stepwise quantitative assessment of equations correctness / Nuru'l - 'Izzah Othman by Othman, Nuru'l - 'Izzah

    Published 2015
    “…Hence, the underlying computational techniques of the model can be regarded as correct. …”
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    Systematic review of intrusion detection system based on machine learning techniques for internet of things by Idris, Muhammad, Md Yasin, Sharifah, Audi, Giade Hamza

    Published 2023
    “…We highlighted the most efficient machine learning algorithms and feature selection techniques, along with strategies to address issues related to dataset imbalance in benchmarked datasets, with the goal of fostering the development of robust IDS solutions for IoT security.…”
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  13. 13

    Web-based learning courseware for autistic child: using video modelling and active learning techniques / Siti Fairuz Mohd Radzi by Mohd Radzi, Siti Fairuz

    Published 2014
    “…In this project, video modelling and active learning techniques were utilized as both techniques are proven to be effective to improve Autistic child's learning skills. …”
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    Malware detection through machine learning techniques by Amer, Ahmed, Abdul Aziz, Normaziah

    Published 2019
    “…We conclude that Machine Learning techniques are practical to be applied as anti-malware solutions including for Zero-day attacks.…”
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    Simulated real-time controller for tuning algorithm using modified hill climbing approach by Ahmed, Ahmed Abdulelah

    Published 2014
    “…Many techniques and inventions in the field of automatic control keeps going forwards, especially that the introduction of modern computing provided a huge ground for innovation in this field. …”
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    Application Of The Differential Quadrature Method To Problems In Engineering Mechanics by Fakir, Md.Moslemuddin

    Published 2003
    “…Furthermore, the mathematical techniques involved in the finite difference schemes or in the Fourier transform methods, are often quite sophisticated and thus not easily learned or used.The differential quadrature method (DQM) is a numerical solution technique, which has been presented in this thesis. …”
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    Algorithm as a problem solving technique for teaching and learning of the Malay language by Faridah Nazir, Zanariah Jano, Norliza Omar

    Published 2019
    “…Computational thinking or CT refers to the thought processes involved in expressing solutions as computational steps or algorithms that can be carried out by a computer. …”
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    Algorithm As A Problem Solving Technique For Teaching And Learning Of The Malay Language by Jano, Zanariah, Omar, Norliza, Nazir, Faridah

    Published 2019
    “…Computational thinking or CT refers to the thought processes involved in expressing solutions as computational steps or algorithms that can be carried out by a computer. …”
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    Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review by Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar

    Published 2024
    “…The deep learning technique shows great promise because automatic feature learning capabilities are well suited for the complex and high-dimensional data of IoT systems. …”
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    Distributed denial of service attack Detection in IoT networks using deep learning and feature fusion : A review by Nuhu Ahmad, Abdul hafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad Syafadhli, Abu Bakar

    Published 2024
    “…The deep learning technique shows great promise because automatic feature learning capabilities are well suited for the complex and high-dimensional data of IoT systems. …”
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