Now showing items 1-4 of 4

    • Convolutional Neural Network approach for different leaf classification 

      Lee, Shin En; Ahmad Nazri, Ali (Institute of Engineering Mathematics, Universiti Malaysia Perlis, 2022-12)
      There are millions of plant species with different shapes of a leaf. Those unfamiliar or outside the field may have difficulty recognizing the plant based on leaf appearances. A system that can provide an automatic ...
    • Fraud detection by machine learning techniques 

      Esraa Faisal, Malik; Xin, Ying Chew (Institute of Engineering Mathematics, Universiti Malaysia Perlis, 2022-12)
      Over the years, the negative impact of financial fraud on organizations and countries have been increasing significantly. Conventional methods such as expert’s judgment are usually used to detect financial fraud. However, ...
    • Machine learning-based queueing time analysis in XGPON 

      N. A., Ismail; S. M., Idrus; F., Iqbal; A.M., Zin; F., Atan; N., Ali (Universiti Malaysia Perlis (UniMAP), 2021-12)
      Machine learning has been a popular approach in predicting future demand. In optical access network, machine learning can best predict bandwidth demand so as to reduce delays. This paper presented a machine learning approach ...
    • Recent development of crowd monitoring technology solution for Covid-19 prevention at airport terminal 

      N., Fadzil; N. H., Abu Bakar; S. M., Idrus; A. I., Azmi; S. H., Mohammad; N., Ali (Universiti Malaysia Perlis (UniMAP), 2021-12)
      Public social distancing has been a great concern for the worldwide community as the World Health Organization (WHO) has declared the COVID-19 pandemic as a Public Health Emergency of International Concern (PHEIC). With ...