Browsing Researchers by Subject "Neural networks"

Now showing items 1-12 of 12

    • Biceps activity EMG pattern recognition using neural networks 

      Sundaraj, Kenneth, Prof. Dr. (World Scientific and Engineering Academy and Society, 2009)
      This paper presents a study of EMG signals pattern on an activated muscle. The main rationale is that the pattern of the EMG signal produced may differ depending on the activity of the muscle movement. Therefore, the ...

    • Classification of heart sound based on S-Transform and neural network 

      H. M., Hadi; Mohd Yusoff, Mashor, Prof. Madya Dr.; Mohd Zubir, Suboh; Mohamed Sapawi, Mohamed (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-10)
      The skill of cardiac auscultatory is very important to physicians for accurate diagnosis of many heart diseases. However, it needs some training and experience to improve the skills of medical students in recognizing and ...

    • A comparative study of wavelet families for classification of wrist motions 

      Muthusamy, Hariharan; Chong, Yen Fook; Sindhu, Ravindran; Bukhari, Ilias; Sazali, Yaacob, Prof. Dr. (Elsevier Ltd., 2012-11)
      The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ...

    • Control brain machine interface for a power wheelchair 

      Hema, Chengalvarayan Radhakrishnamurthy; Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr. (Springer-Verlag, 2011-06-20)
      Controlling a power wheelchair using a brain machine interface (BMI) requires sufficient subject training. A neural network based BMI design using motor imagery of four states is used to control the navigation of a power ...

    • Electronic olfactory prototype of an automated malaise detection system for the agricultural industry 

      Abdul Hamid, Adom, Prof. Madya; Ali Yeon, Md. Shakaff, Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abu Hassan, Abdullah; Shah Fenner Khan, Mohamad Khan; R. Badlishah, Ahmad, Dr.; Marni Aniza, Markom (Prince of Songkla University, 2007-05-10)
      The development of artificial olfactory systems, or electronic nose, for various applications has been on the rise due to their apparent benefits. The development and integration of electronic nose with other systems, ...

    • Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks 

      Prasad, Reddy; Krishnaiah, Duduku; Awang, Bono; Paulraj, Murugesa Pandiyan, Prof. Madya; Rosli, Mohd Yunus; Naveena Lakshmi (Asian Network for Scientific Information, 2010)
      The application of Artificial Neural Networks in chemical engineering field is being under immense research. One of the physical properties of every material has its own intensity to absorb the sound waves. Carrageenans ...

    • Improving classification of EEG signals for a four-state brain machine interface 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Abdul Hamid, Adom, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ...

    • Modeling and forecasting of injected fuel flow using neural network 

      Z., Saad; M. K., Osman; S., Omar; Mohd Yusoff, Mashor, Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      The aim of this research is to develop an intelligent automated online forecasting of a car fuel consumption using neural network and classified it into classes of driving style. A new online monitoring tool was developed ...

    • Object localization using stereo sensors for adept SCARA robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Nagaran, R.; Sazali, Yaacob (Institute of Electrical and Electronics Engineers (IEEE), 2006)
      In this paper we present a stereo vision system for segmentation of partially occluded objects and computation of object grasping point in bin picking environments. The stereo vision system was interfaced with an Adept ...

    • Online sequential extreme learning machine for classification of Mycobacterium tuberculosis in Ziehl-Neelsen stained tissue 

      Muhammad Khusairi, Osman; Mohd Yusoff, Mashor, Prof. Dr.; Hasnan, Jaafar, Assoc. Prof. Dr. (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      The application of image processing and artificial intelligence for computer-aided tuberculosis (TB) diagnosis has received considerable attention over the past several years and still is an active research area. Several ...

    • Segmentation and location computation of bin objects 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Ars International, 2007)
      In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the ...

    • Stereo vision based robotic bin picking system for agile manufacturing 

      Fathinul-Syahir, Ahmad Sa'ad; Hazry, Desa, Dr.; Muhammad Juhairi Aziz, Safar (Universiti Teknologi Malaysia (UTM)Faculty of Electrical Engineering, 2009-06-02)
      This research aims at conducting a fundamental analysis on developing a stereo vision system for an industrial robot to perform bin picking operations similar to a human way of bin picking.A Vision System and a set of ...