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  1. 1901
  2. 1902

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ZUBAIR ADEL SOOMRO, ZUBAIR ADEL SOOMRO, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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    Article
  3. 1903

    Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video by Ashok Vajravelu, Ashok Vajravelu, K.S. Tamil Selvan, K.S. Tamil Selvan, Abdul Jamil, Muhammad Mahadi, Anitha Jude, Anitha Jude, Isabel de la Torre Diez, Isabel de la Torre Diez

    Published 2023
    “…Wireless Capsule Endoscopy (WCE) allows direct visual inspecting of the full digestive system of the patient without invasion and pain, at the price of a long examination by physicians of a large number of photographs. …”
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    Article
  4. 1904
  5. 1905

    Comparative study of stent performance under combined loading by Mat Beyi, Abdul Fattah

    Published 2023
    “…A coronary artery stent is a medical device used to treat coronary artery disease. In the long term, there is a chance of restenosis, or stent fracture. …”
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    Thesis
  6. 1906

    Pest management challenge in Universiti Tun Hussein Onn Malaysia natural history repository by Sapaat, Arney, Mohamed, Maryati, Dalimin, Mohd. Noh

    Published 2018
    “…Data from trapping were used to assess pest problems, and actions to eliminate these pests were initiated. A year-long survey of pests was performed after staff and collections occupied the building. …”
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    Article
  7. 1907

    MI-OPTNET: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MYOCARDIAL INFARCTION DETECTION by Audrey Huong, Audrey Huong, KimGaik Tay, KimGaik Tay, KokBeng Gan, KokBeng Gan, Xavier Ngu, Xavier Ngu

    Published 2024
    “…Here, for the first time, we introduce an effective framework (MI-OptNet) using the particle swarm optimization model (PSO) in the design of a lightweight hybrid network combining convolutional neural network (CNN)-long short terms memory (LSTM) for MI and normal ECG detection. …”
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    Article
  8. 1908

    Modulation of non-linear wave in a fluid-filled thick elastic tube by Ahmad, Nur Fara Adila

    Published 2020
    “…The modulation of the non-linear wave in the long wave approximation was investigated using the reductive perturbation method. …”
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    Thesis
  9. 1909

    Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video by Ashok Vajravelu, Ashok Vajravelu, K.S. Tamil Selvan, K.S. Tamil Selvan, Abdul Jamil, Muhammad Mahadi, Anitha Jude, Anitha Jude, Isabel de la Torre Diez, Isabel de la Torre Diez

    Published 2023
    “…Wireless Capsule Endoscopy (WCE) allows direct visual inspecting of the full digestive system of the patient without invasion and pain, at the price of a long examination by physicians of a large number of photographs. …”
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    Article
  10. 1910

    DEVELOPMENT OF WIND-SOLAR MAPS IN AQABA, JORDAN AS POTENTIAL SOURCES FOR POWER GENERATION by Mohanad Al-Ghriybah, Mohanad Al-Ghriybah, Djamal Hissein Didane, Djamal Hissein Didane

    Published 2023
    “…The potential for free, clean, and limitless energy from renewable sources has long been recognized. However, because of a lack of thorough wind and solar maps, expertise, and public understanding of the significance of these resources in the country, Jordan continues to rely on non-renewable sources for its energy needs. …”
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    Article
  11. 1911

    DEVELOPMENT OF WIND-SOLAR MAPS IN AQABA, JORDAN AS POTENTIAL SOURCES FOR POWER GENERATION by Mohanad Al-Ghriybah, Mohanad Al-Ghriybah, Djamal Hissein Didane, Djamal Hissein Didane

    Published 2023
    “…The potential for free, clean, and limitless energy from renewable sources has long been recognized. However, because of a lack of thorough wind and solar maps, expertise, and public understanding of the significance of these resources in the country, Jordan continues to rely on non-renewable sources for its energy needs. …”
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    Article
  12. 1912

    All-optical 2r regenerator based on self-phase modulation by Mat Yaacob, Siti Nurul Sharina

    Published 2020
    “…Optical 2R regenerators provide an effective way of coping with transmission impairments by restoring the quality of optical signals through re-amplification and reshaping (2Rs), thereby enabling reliable transmission over long distances. In this work, All-Optical 2R Regeneration which is based on self-phase modulation (SPM) in a single highly nonlinear fiber (HNLF) with 2500 km length of transmission is investigated. …”
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    Thesis
  13. 1913

    The Impact of Sustainability Practices on Share Performance with Mediation of Board Members Experience: A Study on Malaysian Listed Companies by Bhatti, Uzair, Sulaiman, Noralfishah

    Published 2023
    “…The results of the study showed the long-run steady relationships through the error correction term (ECT) at the optimum lag. …”
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    Article
  14. 1914

    Life cycle sustainability assessment of alternative green roofs – A systematic literature review by Balasbaneh, Ali Tighnavard, Sher, Willy, Madun, Aziman, Ashour, Ashraf

    Published 2024
    “…Additionally, various measurement methods should be used to assess the economic profitability of green roofs over the long term. In summary, this study provides a deeper understanding of the environmental, social, and economic performance of green roofs and identifies research gaps as well as future research directions.…”
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    Article
  15. 1915

    AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

    Published 2024
    “…Several advanced deep learning models, including long short-term memory (LSTM), bidirectional LSTM, convolutional neural network (CNN), CNN-LSTM, multilayer perceptron, and recurrent neural network (RNN) models, were trained and evaluated. …”
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    Article
  16. 1916

    AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

    Published 2024
    “…Several advanced deep learning models, including long short-term memory (LSTM), bidirectional LSTM, convolutional neural network (CNN), CNN-LSTM, multilayer perceptron, and recurrent neural network (RNN) models, were trained and evaluated. …”
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    Article
  17. 1917

    A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System by Khaleefah, Shihab Hamad, A. Mostafa, Salama, Gunasekaran, Saraswathy Shamini, Khattak, Umar Farooq, Yaacob, Siti Salwani, Alanda, Alde

    Published 2024
    “…The design of the deep learning approach comprises a long-term and short-term memory (LSTM) model. The LSTM model is trained on an electrical fault detection dataset that contains three-phase currents and voltages at one end serving as inputs and fault detection as outputs. …”
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    Article
  18. 1918

    Optimisation of insulator design for improved electric field performance by Ahmad, Hairilasri

    Published 2015
    “…By improving the electric field distribution, it will help in enhancing their long term performance of insulator. The COMSOL Multiphysics software has been employed to investigate the electric field stresss along the insulator‟s surface. . …”
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    Thesis
  19. 1919

    Development of three phase back to back converter with current flow control using raspberry Pi microcontroller by Mamat, Ibrahim

    Published 2015
    “…A High-Voltage Direct Current (HVDC) electric power transmission system uses direct current form the bulk transmission of electrical power, in contrast with the common Alternating Current (AC) systems. For a long-distance transmission, HVDC systems may be less expensive and suffer lower electrical losses. …”
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    Thesis
  20. 1920

    The performance of removal phosphorus by Adnan, Suraya Hani, A. Roni, Norwardatun, Hamidon, Nuramidah, Tuan Ismail, Tuan Noor Hasanah

    Published 2020
    “…Generally, secondary treatment can only remove 1-2 mg/L of phosphorus, so excess phosphorus is often discharged in the final effluent and causes eutrophication in surface water [9]. [5] found that the addition of phosphorus in the range of even 0.1-5.6 µ/L over a long period might activate algal blooms in part of a natural lake. …”
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