Browsing Researchers by Subject "Neural networks (Computer science)"

Now showing items 1-20 of 20

    • Artificial neural network for the classification of steel hollow pipe 

      Nur Farahiyah, Mohamad; Hafizawati, Zakaria; Rakhmad Arief, Siregar; Hariharan, M.; Fauziah, Mat (Universiti Malaysia Perlis, 2009-10-11)
      Within industry, piping is a very important system that used to convey fluid (liquid and gases) from one location to another. Steel pipe is one of the commonly type of pipe that has been used since before. Crack on pipe ...

    • An automated cervical pre-cancerous diagnostic system 

      Nor Ashidi, Mat-Isa; Mohd Yusoff Mashor; Nor Hayati, Othman (Elsevier B.V., 2008-01)
      Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ...

    • Backpropagation algorithm for rice yield prediction 

      Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Nor Khairah, Jamaludin; Siti Sakira, Kamarudin; Aryati, Bakri; Nursalasawati, Rusli (Oita University, 2004-01-28)
      Parameters that affect rice yield are many, for instance diseases, pests and weeds. Statistical or mathematical model is unable to describe the correlation between plant diseases, pests and weeds on the amount of rice ...

    • Classroom speech intelligibility prediction using backpropagation Neural Network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M. (Coimbatore Institute of Technology, 2007-08-27)
      In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ...

    • Color recognition algorithm using a neural network model in determining the ripeness of a Banana 

      Paulraj, Murugesapandian; Hema, Chengalvarayan Radhakrishnamurthy; R. Pranesh, Krishnan; Siti Sofiah, Mohd Radzi (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents a simple color recognition algorithm using a Neural Network model and applied to determine the ripeness of a banana. The captured image of the banana is resized and its RGB color components are extracted. ...

    • Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network 

      Paulraj, M.P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Mohd Hafiz, Fazalul Rahiman; R Pranesh, Krishnan (Universiti Malaysia Perlis, 2009-10-11)
      In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure ...

    • A face recognition system using template matching and neural network classifier 

      Muhammad Firdaus, Hashim; Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Shahrul Nizam, Yaakob (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      We develop a technique to identify an unknown person in a face image by using template matching and neural network classifier. The technique is separated into three main steps namely; preprocessing, feature extraction and ...

    • Face recognition using neural network 

      Azlan Zainul (Universiti Malaysia PerlisSchool of Mechatronic Engineering, 2008-03)
      This dissertation provides a study of camera-based face recognition research. There are two underlying motivations to conduct this project: the first is to study and analyze type of feature extraction method, and the second ...

    • Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network 

      Nor Ashidi, Mat Isa; Esugasini, Subramaniam; Mohd Yusoff, Mashor; Nor Hayati, Othman (Science Publications, 2007)
      Thirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus ...

    • A microcontroller-based taste sensing system for the verification of Eurycoma longifolia 

      Rahman, A. S A; Yap, M. M S; Ali Yeon, Md Shakaff; Mohd Noor, Ahmad; Dahari, Z.; Zhari, Ismail; Muhammad Suzuri, Hitam (Elsevier, 2004-06)
      With the proliferation of numerous herbal remedies on the market, the ability to verify the actual presence of the active herbal ingredient in a product would be very useful. In this paper, a microcontroller-based electronic ...

    • Motorbike engine faults diagnosing system using Entropy and Functional Link Neural Network in wavelet domain 

      Paulraj, M.P.; Sazali, Yaacob; Mohd Zubir, Md Zin (Universiti Malaysia Perlis, 2009-10-11)
      The sound of working vehicle provides an important clue for engine faults diagnosis. Endless efforts have been put into the research of fault diagnosis based on sound. It offers concrete economic benefits, which can lead ...

    • Neural network models for speech inteligibility assessment in university classroom 

      Paulraj, M. P.; Ahmad Nazri; Sivanandam, S.N.; Thagirarani, M. (Kongu Engineering College, 2008-01-03)
      Adequate speech intelligibility should be the primary goal in acoustical design of classrooms. Typical design parameters are reverberation time and background noise level. However for predicting the Speech Transmission ...

    • Overview of automatic stuttering recognition system 

      Lim, Sin Chee; Ooi, Chia Ai; Sazali, Yaacob (Universiti Malaysia Perlis, 2009-10-11)
      Stuttering is a speech disorder. The flow of speech is disrupted by involuntary repetitions and prolongation of sounds, syllables, words or phrases, and involuntary silent pauses or blocks in communication. Stuttering is ...

    • Prediction of classroom speech clarity using backpropagation neural network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M (Universiti Kebangsaan Malaysia, 2007-11-27)
      A classroom's acoustic design should be constructed so that the highest possible degree of speech intelligibility is achieved for teachers and students. In achieving the highest possible speech intelligibility, the acoustical ...

    • Prediction of psychoacoustic parameters using radial basic functions neural network 

      Paulraj, M.P.; Sazali, Yaacob; Ahmad Nazri; M., Thagirarani (Karpagam College of Engineering, 2008-02-01)
      The ability of human listeners to estimate psychoacoustic parameters from the speakers speech levels at different listener's positions in a classroom is an interesting and not yet thoroughly examined phenomenon. The goal ...

    • Prediction of Reverberation time in university classrooms using Neural Network 

      Paularaj, M. P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Hariharan, M.; Wan Mohd Ridzuan, Wan Ab Majid (Universiti Kebangsaan Malaysia, 2007)
      Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...

    • 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 ...

    • A speech recognition system for Malaysian English pronunciation using Neural Network 

      Paulraj, M.P.; Sazali, Yaacob; Ahamad Nazri; Sathees Kumar (Universiti Malaysia Perlis, 2009-10-11)
      The English language as spoken by Malaysians varies from place to place and differs from one ethnic community and its sub-group to another. In this paper, an automatic vowel classification system based on linear predictive ...

    • Stereo vision system for a bin picking adept robot 

      Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesapandian; Ramachandran, Nagarajan; Sazali, Yaacob (Universiti Malaya, 2007)
      In bin picking applications, robots are required to pick up an object from a pile of stacked or scattered objects placed in a bin. To perform such tasks, identification of the objects to be picked using a vision system is ...

    • A survey on face emotion recognition and applications 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Ramachandran, Nagarajan (Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE), 2007)
      This paper presents a decade long research efforts of recognizing human emotion conveyed through facial expressions (face emotion). Face emotion recognition starts from processing still and video camera images and identifying ...