Abdul Hamid Adom, Prof. Dr.
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About Prof. Dr. Abdul Hamid Adom
Prof. Dr. Abdul Hamid Adom is currently a Prof. Dr. at Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis
He was formerly from School of Mechatronic Engineering
ORCID ID: https://orcid.org/0000-0003-0244-7925
Scopus Author ID: 6506600412
Email: Abdul Hamid Adom
Research Interests
Artificial Intelligence
System Modeling and Control
Data Fusion
Advanced Control Theory
Recent Submissions
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Assessment of Functional and Dysfunctional on Implant Stability Measurement for Quality of Life
(EDP Sciences, 2017)This study was conducted to investigate the effect of an implant wearer comprising among orthopedic patients as well as the use of implant dentistry in Northern Malaysia. A total of 100 questionnaires were distributed and ... -
Design and Fabrication of Biodegradable Microneedle Using 3D Rapid Prototyping Printer
(IOP Publishing, 2019)Microneedle is known as transdermal drug delivery (TDD) devices that uses to deliver biological fluid into veins and needle that use to tear skin to collect blood sample. It involves with various parameters and designs. ... -
Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
(Elsevier Ltd., 2013-07)Visually evoked potentials (VEPs) originate from the occipital cortex and have long been used as a reliable indicator for vision impairments by ophthalmologists. Any abnormalities in the visual pathways of a person can be ... -
EEG based detection of conductive and sensorineural hearing loss using artificial neural networks
(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) ... -
Brain machine interface for physically retarded people using colour visual tasks
(IEEE Conference Publications, 2010-05)A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ... -
Orthogonal least squares method and its application to nonlinear modeling of automotive engine fuelled with palm oil methyl esters
(Praise Worthy Prize S.r.l., 2013)In this paper, nonlinear mathematical models for an automotive engine fuelled with palm biodiesel (Palm Oil Methyl Ester) are developed. Assuming a discrete time form for the system model, a polynomial Nonlinear Autoregressive ... -
Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
(Atlantis Press, 2014)Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and ... -
Moving vehicle detection using time domain statistical features
(Trans Tech Publications, 2014)The Hearing Impaired People (HIP) cannot distinguish the sound from a moving vehicle approaching from their behind. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter ... -
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy
(Elsevier Inc, 2013-05)Dysfluency and stuttering are a break or interruption of normal speech such as repetition, prolongation, interjection of syllables, sounds, words or phrases and involuntary silent pauses or blocks in communication. Stuttering ... -
Comparison of speech parameterization techniques for the classification of speech disfluencies
(Scientific and Technical Research Council of Turkey, 2013-12)Stuttering assessment through the manual classification of speech disfluencies is subjective, inconsistent, time-consuming, and prone to error. The aim of this paper is to compare the effectiveness of the 3 speech feature ... -
Rapid identification method of aerobic bacteria in diabetic foot ulcers using electronic nose
(American Scientific Publishers, 2014-01)Diabetic foot ulcer (DFU) is an infection, ulcer or destruction of deep tissue associated with neurological abnormalities, musculoskeletal deformities and various degrees of peripheral vascular disease of lower limb. In ... -
Bacteria classification using electronic nose for diabetic wound monitoring
(Trans Tech Publications, 2013)Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ... -
Erratum: Adaptive boosting with SVM classifier for moving vehicle classification
(Elsevier Ltd, 2013)Profoundly hearing impaired community (PHIC) cannot moderate wisely an acoustic noise ema- nated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from ... -
Supervisory fuzzy learning control for underwater target tracking
(School of Mechatronics Engineering, 2005-07-30)This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference ... -
Development of solar powered automated fertigation controller for rock melon cultivation in natural ventilated green house
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Production of vegetables and fruits in Malaysia using fertigation method been experiencing accelerated growth. Fertigation allow farmers to automatically deliver adequate nutrient quantity and concentration through drip ... -
Comparison of LPCC and MFCC for isolated Malay speech recognition
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance ... -
The NARMAX Model for a DC Motor using MLP Neural Network
(Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)School of Mechatronic Engineering, 2006-09-15)The approach to the design of direct current (DC) motor varies considerably using advanced methods such asartificial intelligence (AI). However, accuracy issuescannot be totally achieved using conventional methods.This ... -
Classification of acoustic sound signature of moving vehicle using artificial neural network
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)The hearing impaired is afraid of walking along a street and living a life alone. Since, it is difficult for hearing impaired to hear and judge sound information and they often encounter risky situations while they are in ... -
Multi-classifier system for moving vehicles classification based on spectral bands energy
(Universiti Malaysia Perlis (UniMAP), 2012-06-18)Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. ... -
Real-time control of automotive engine fuelled with Malaysian palm oil biodiesel
(Praise Worthy Prize S.r.l., 2012)With the rapid decline in energy resources, the increasing environmental concerns, and the high demand of energy consumption, many countries have been looking for alternative energy to substitute fossil fuel. One of the ...