Browsing by Subject "k-Nearest Neighbor (k-NN)"

Now showing items 1-5 of 5

    • Classification of frontal alpha asymmetry using k-Nearest neighbor 

      Siti Armiza, Mohd Aris; Mohd Nasir, Taib; Norizam, Sulaiman (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Frontal alpha asymmetry is used as the EEG feature in this study. Total number of 43 students participated in EEG data collections of relax and non-relax conditions. The spectral power of the alpha band for both left and ...

    • Comparison of classifying the material mechanical properties by using k-Nearest Neighbor and Neural Network Backpropagation 

      Intan Maisarah, Abd Rahim; Fauziah, Mat; Sazali, Yaacob, Prof. Dr. (Science Academy, 2011-03)
      This paper present a development of a system with non-destructive testing on the material to define the mechanical properties of material. The experimental and testing of the material mechanical properties using vibration ...

    • Determination and classification of stress level using EEG signal and audio modalities 

      Syahrull Hi-Fi Syam, Ahmad Jamil (Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2011)
      Stress is defined as the disruption of homeostasis by physical or psychological stimuli. It can occur in two different approaches either positive way or negative way. Positive stress is called eustress and negative stress ...

    • Development of EEG-based stress index 

      Norizam, Sulaiman; Mohd Nasir, Taib, Prof. Dr.; Sahrim, Lias; Zunairah, Hj Murat; Siti Armiza, Mohd Aris; Mahfuza, Mustafa; Nazre, Abdul Rashid (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      This paper presents a non-parametric method to produce stress index using Electroencephalogram (EEG) signals. 180 EEG datasets from healthy subjects were evaluated at two cognitive states; resting state (Eyes Closed) and ...

    • Performance comparison of the artificial neural network and the k-nearest neighbor classifiers in classroom speech intelligibility prediction application 

      M. Ridhwan, Tamjis; M. Naufal, Mansor; Pandiyan, Paulraj Murugesa, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Ahmad Nazri, Abdullah, Prof. Madya Dr.; Boon, Raymond Whee Heng, Prof. Dr. (Science Academy, 2011-03)
      Classroom speech intelligibility has become one of the major concerns in education nowadays. In any classrooms and educational facilities, an optimal speech intelligibility level is required to ensure that the listeners ...