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    Synchronous brain machine interface design using focused time delay networks 

    Hema, Chengalvarayan Radhakrishnamurthy; Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Ramachandran, Nagarajan, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2012-02-27)
    Focused time delay neural network based design for a four-state Brain Machine Interface (BMI) to drive a wheelchair is analyzed. Motor imagery signals recorded noninvasively using two bipolar electrodes are used in the ...
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    Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model 

    Yusnita, Mohd Ali; Pandiyan, Paulraj Murugesa, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Shahriman, Abu Bakar, Dr.; Nataraj, Sathees Kumar (IEEE Conference Publications, 2012-10)
    Accent recognition is one of the most important topics in automatic speaker and speaker-independent speech recognition (SI-ASR) systems in recent years. The growth of voice-controlled technologies has becoming part of our ...
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    Preventing sudden infant death syndrome (SIDS) based on motion estimation and neural network 

    Muhammad Naufal, Mansor; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr.; Shafriza Nisha, Basah, Dr.; Mohd Nazri, Rejab (American Scientific Publishers, 2013)
    What is SIDS? SIDS is known as Sudden Infant Death Syndrome or referred as the cot death; there are no explainable causes of death after the autopsy. No one knows what causes SIDS, however researchers have theorized that ...
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    Classification of vehicle noise comfort level using feedforward neural network 

    Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.; Sazali, Yaacob, Prof. Dr.; Siti Marhainis; Andrew, Allan Melvin (Universiti Malaysia Perlis (UniMAP), 2012-02-27)
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    Improved back propagation neural network for the diagnosis of pathological voices 

    Paulraj, M.P.; Sazali, Yaacob, Prof. Dr.; Sivanandam, S. N.; Hariharan, Muthusamy (Association for Advancedment of Modelling and Simulation Techniques in Entreprises (A.M.S.E), 2008)
    Most of vocal and voice diseases cause changes in the voice. ENT clinicians use acoustic voice analysis to characterize the pathological voices. Nowadays, voice diseases are increasing dramatically due to unhealthy social ...
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    Model reference adaptive neuro-controller based on HMLP network 

    Siti Maryam, Sharun; Mohd Yusoff, Mashor, Prof. Dr.; Norhayati, Mohd Nazid; Sazali, Yaacob, Prof. Dr. (Universiti Malaysia Perlis (UniMAP), 2010-10-16)
    In this paper, an Adaptive Neuro-Controller (ANC) based on HMLP Network is proposed as an alternative to a conventional adaptive controller. The ANC will be adapted such that the plant should follow a desired output, ...
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    EEG based detection of conductive and sensorineural hearing loss using artificial neural networks 

    Pandiyan, Paulraj Murugesa , Prof. Dr.; Subramaniam, Kamalraj; Sazali, Yaacob, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Hema, C. R. (Advanced Institute of Convergence IT, 2013-05)
    In this paper, a simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) ...
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    Discrimination of pathological voices using systole activated neural network 

    Murugesa Pandiyan, Paulraj, Prof. Madya Dr,; Sazali, Yaacob, Prof. Dr.; Hariharan, Muthusamy, Dr. (Noise, Vibration and Comfort Research Group, 2007-11-27)
    The discrimination of normal and pathological voices using noninvasive acoustical analysis features helps speech specialits to perform accurate diagnoses of vocal and voices disease. Acoustic analysis is a non-invasive ...
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    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 ...
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    Classroom speech intelligibility prediction using Elman neural network 

    Paulraj, Murugesa Pandiyan, Prof. Madya; Sazali, Yaacob, Prof. Dr.; Ahmad Nazri, Abdullah; M., Thagirarani; M. Ridhwan, Tamjis (Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
    A study was conducted to develop a simple system for classrooms speech intelligibility prediction. In this study, several classrooms properties such as size, signal-to-noise ratio (SNR) and Speech Transmission Index ...
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    AuthorSazali, Yaacob, Prof. Dr. (18)Paulraj, Murugesa Pandiyan, Prof. Madya (5)Sazali, Yaacob (5)Muthusamy, Hariharan, Dr. (4)Murugesa Pandiyan, Paulraj, Prof. Madya Dr, (3)... View MoreSubject
    Neural network (24)
    Acoustic analysis (4)Acoustic features (3)Neural networks (Computer science) (3)Slope parameter (3)... View MoreDate Issued2013 (2)2012 (3)2011 (1)2010 (4)2009 (4)2008 (5)2007 (4)2006 (1)

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