Fadzil Ahmad

Fadzil Ahmad
Universiti Teknologi MARA | UiTM · Faculty of Electrical Engineering

About

29
Publications
6,486
Reads
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372
Citations
Citations since 2016
13 Research Items
308 Citations
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060

Publications

Publications (29)
Article
Full-text available
Massive paddy crops lost every year due to weather condition, plant disease and pest attack. Pest attack is among the main threat that reducing the quality and quantity of the paddy crops. Pesticide is used to control and eliminate the pest in paddy field. In order to determine the quantity of pesticide used, traditional method is based on manual c...
Article
Full-text available
Accurate fault location on transmission line is important in ensuring consistent and reliable operation of the power deliver to long distance destination. Conventional methods for locating fault on transmission lines based on travelling wave and impendence-based methods usually suffer from large error due to the complexity of fault modeling on diff...
Article
Full-text available
A sensorless control of permanent magnet synchronous motor (PMSM) by using model reference adaptive system (MRAS) and artificial neural network is presents in this paper. The objective for this study is to improve the speed and position estimation of the PMSM rotor which used the MRAS with the conventional PI controller. In this study, the multilay...
Article
Full-text available
Cervical cancer is well known as the third killer for women in Malaysia. The precancerous stage for detection can be determine by screening test, known Pap smear test for avoiding occurrence of cervical cancer. The problem face in the test is the human error in reading the data analysis and also lack number of pathologists to interpret the data ana...
Chapter
This work aims to introduce an alternative method of obtaining porous density characteristics of porous silicon material by making use of images obtained from the Scanning Electron Microscope. The available and most commonly used method of obtaining the porous density characteristics of semiconductor materials is the gravimetric or quasi-gravimetri...
Article
Full-text available
Cervical cancer has caused many deaths each year. Screening tests, such as Pap smear test used for the detection of the precancerous stage are able to avoid the occurrence of cervical cancer. However, the Pap smear test has several disadvantages such as less effective slides preparation and human error. Therefore, a computer-aided diagnosis system...
Conference Paper
Full-text available
Conventional genetic algorithm (GA) has several drawbacks such as premature convergence and incapable of fine tuning around potential region. Thus, new enhanced GA that focuses on new search, crossover and elitism strategy is proposed in this study. It involves solution enhancement phase by performing search among high quality chromosomes via new c...
Article
This paper presents the parameter optimization of the fuzzy logic controller (FLC) for the Functional Electrical Stimulation (FES)-assisted elliptical stepping exercise. The FLC is used to control the cadence of the elliptical stepping exercise for smooth exercise movement. Genetic algorithm (GA) and particle swarm optimization (PSO) are used to op...
Article
This paper describes the parameter optimization of PID controllers of knee-FES-ergometer used to control the paralyzed knee for smooth swinging exercise. The knee-FES-ergometer is a machine that helps elongate knee swinging exercise of paralyzed people by reducing the required electrical stimulus. Particle swarm optimization (PSO) is used to optimi...
Article
Breast cancer is the most common cancer diagnosed and cause of death among women worldwide. There is evidence that early detection and treatment can increase the survival rate of breast cancer patients. The traditional method for diagnosing the disease relies on human experiences to identify the presence of certain pattern from the database. It is...
Conference Paper
Breast cancer prevails as one of the infamous deathly diseases among women worldwide. Early detection and treatment of breast cancer can increase the survival rate of patients. Presently, the method of diagnosis depends on the human experiences. The method is time-consuming, subjected to human error and cause unnecessary burden to radiologists. Thi...
Conference Paper
One of the important tool in genomic analysis is Gel Eletrophoresis. It is a tool that is routinely used in genetics, microbiology, forensics, molecular biology and biochemistry. GE is also used in separating DNA, RNA and protein molecules by using electric field applied to a gel matrix. This paper describes the application of Particle Swarm Optimi...
Conference Paper
This work is focused on the development of physiological and mathematical model of muscle extension induced by FES-assisted knee swinging ergometer. A muscle model composed of muscle activation, muscle contraction and body segmental dynamics is developed to perform full knee extension. The developed muscle model is then incorporated with a humanoid...
Article
An improved genetic algorithm procedure is introduced in this work based on the theory of the most highly fit parents (both male and female) are most likely to produce healthiest offspring. It avoids the destruction of near optimal information and promotes further search around the potential region by encouraging the exchange of highly important in...
Article
This paper presents new clustering-based segmentation algorithms. The proposed switching-based clustering algorithms can minimize salt-and-pepper noise during segmentation without degrading the images’ fine details. The proposed algorithms incorporate the salt-and-pepper noise detection stage into the clustering algorithm, producing an adaptive tec...
Article
The conventional technique for diagnosing the breast cancer disease relies on human experiences to identify the presence of certain pattern from the database. It is time-consuming and incurs unnecessary burden to radiologists. This work proposes a genetic algorithm-based multi-objective optimization of an Artificial Neural Network classifier, namel...
Conference Paper
Full-text available
This paper describes a method using image processing and genetic algorithm-neural network (GA-NN) for automated Mycobacterium tuberculosis detection in tissues. The proposed method can be used to assist pathologists in tuberculosis (TB) diagnosis from tissue sections and replace the conventional manual screening process, which is time-consuming and...
Conference Paper
One of the major issues concerning the Artificial Neural Networks (ANNs) design is a proper adjustment of the weights of the network. There have been a number of studies comparing the performance of evolutionary and gradient based ANNs learning. But the results of the studies, sometime conflicting to each other although the same and standard datase...
Conference Paper
Artificial Neural Network (ANN) is one of the most promising biological inspired computational intelligence techniques. However designing an ANN is a difficult task as it requires setting of ANN structure and tuning of some complex parameter. On the other hand, Genetic Algorithm (GA) as a global search technique is useful for complex optimization p...
Article
Artificial Neural Network (ANN) is a popular computational intelligence technique in many applications. However, the performance depends on appropriate structure design and considered as a difficult task. Until now, there is no standard procedure in designing an optimal ANN. Two important issues in designing ANN are the selection of significant inp...
Article
This paper describes the parameter optimization of fuzzy logic control (FLC) of FES-assisted indoor rowing exercise (FES-rowing) using multi objective genetic algorithm (MOGA). The indoor rowing exercise is introduced as a total body exercise for rehabilitation of function of lower extremities through the application of functional electrical stimul...

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