Browsing by Subject "Fuzzy k-NN classifier"

Now showing items 1-3 of 3

    • AR model for infant pain anxiety recognition using fuzzy k-NN 

      Muhammad Naufal, Mansor; Syahryull Hi-Fi Syam, Ahmad Jamil; Muhammad Nazri, Rejab; Addzrull Hi-Fi Syam, Ahmad Jamil (Institute of Electrical and Electronics Engineers (IEEE), 2012-08-25)
      Pain Assessment in Neonatal has been discussed recently nowadays. A rapid research, equipment and pain course has yet been improved. However, the robustness, accurate and fast pain scheme is yet far beyond the schedule ...

    • Fuzzy k-NN and k-NN algorithm for fast infant cues detection 

      Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Syahryull Hi-Fi Syam, Ahmad Jamil; Mohd Lutfi, Mohd Khidir; Muhammad Nazri, Rejab; Ku Mohd Yusri, Ku Ibrahim; Addzrull Hi-Fi Syam, Ahmad Jamil; Ahmad Kadri, Junoh; J., Ahmad (Springer Berlin Heidelberg, 2013)
      In this paper, tremble stage assessment is explained and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (NICU). The facial changes are most widely represented by eyes and ...

    • Infant pain detection with homomorphic filter and fuzzy k-NN classifier 

      Muhammad Naufal, Mansor; Ahmad Kadri, Junoh; Amran, Ahmed; Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr.; Azrini, Idris (Trans Tech Publications (TTP), 2014-08)
      Newborn pain is a non-stationary made by babies in reaction to certain circumstances. This infant facial expression can be used to recognize physical or psychology condition of newborn. The goal of this study is to evaluate ...