Abdul Sahli Fakharudin- Doctor of Philosophy
- Senior Lecturer at Universiti Malaysia Pahang Al-Sultan Abdullah
Abdul Sahli Fakharudin
- Doctor of Philosophy
- Senior Lecturer at Universiti Malaysia Pahang Al-Sultan Abdullah
About
20
Publications
3,680
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92
Citations
Introduction
A lecturer in the Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah. His main research area is artificial neural networks and machine learning. A fellow in the Centre for Artificial Intelligence and Data Science (CAIDaS) and a member of the Machine Intelligence (MIRG) research group. A specialist in system administration / SysOps on both private and public cloud facilities for planning, deployment, operation and maintenance of applications and services.
Skills and Expertise
Current institution
Additional affiliations
Universiti Malaysia Pahang Al-Sultan Abdullah
Position
- Senior Lecturer
Publications
Publications (20)
Identifying the appropriate stakeholder is an integral part of the requirements engineering process and the primary factor influencing system success. The E-learning system is a significant platform with a variety of stakeholders that must be identified. After the launch of the E-learning system, issues such as identifying stakeholders arise and th...
The world health organization (WHO) proclaimed the COVID-19, commonly known as the coronavirus disease 2019, was a pandemic in March 2020. When people are in close proximity to one another, the virus spreads mostly through the air. It causes some symptoms in the affected person. COVID-19 symptoms are quite variable, ranging from none to severe sick...
Internet users might be exposed to various forms of threats that can create economic harm, identity fraud, and lack of faith in e-commerce and online banking by consumers as the internet has become a necessary part of everyday activities. Phishing can be regarded as a type of web extortions described as the skill of imitating an honest company's we...
Malaysia is the largest exporter of Elaeis Guineensis (Palm oil) in the international market. Oil palm cultivation generates a significant amount of lignocellulosic biomass derived from empty fruit bunches (EFB) as waste product. This research focused on optimizing the mycelium growth in Pleurotus sp. cultivation by using EFB as a culture medium. T...
Food waste is categorized as the largest degradable component in the waste stream. Degradation of food waste that involved aerobic bacteria is the most suitable approach to dispose of this waste. The main objective of this research is to evaluate the optimum condition of aerobic bacteria growth for food waste degradation by comparing the implementa...
Vanillin adsorption onto resin H103 was modelled using artificial neural network (ANN) approach and the best ANN algorithm was determined in this work. The first step of ANN modeling was ANN set up, followed by the optimization of ANN. The parameters for the input layers are contact time, initial vanillin concentration, resin dosage, pH, and temper...
In this paper, artificial neural network had been implemented to model the biodelignification process of oil palm trunk core using Pleurotus Ostreatus. The generated model was used as the fitness function for the genetic algorithm to obtain the optimise lignin left percentage. The 4-10-5-2-1 network architecture had been used to model the process a...
Mathematical modelling for nitrogen concentration in mycelium (N) during Pleurotus sp. cultivation had successfully been produced using multiple linear regression. Two different substrates were used to cultivate the Pleurotus sp. which were empty palm fruit bunch (EFB) and sugarcane bagasse (SB). Both substrates were collected and prepared as the s...
Biogas production from waste is a valuable renewable energy and with better process design, maximum biogas yield can be obtained from the same amount of waste. Modelling and optimisation are widely used in biological and chemical process domain to increase and to improve the efficiency of this process. In recent years, intelligence computation is a...
This paper proposed a framework to model and optimises a
biogas production using artificial neural networks and genetic algorithms.
The intelligence computation was applied to achieve a better model and
optimisation compared to a mathematical modeling. Two training
approaches were used to train a set of neural networks design. The trained
networks...
Every newspaper publisher faced with the problem of determining the number of copies of newspaper and distributing them to the retail traders. Two aspects need to be balanced out in order to optimize the economical success which is the number of unsold copies should be minimal to reduce the cost of production, and the sell-out rate should be minima...
Fermentation monitor is widely used by industries to control the process effectively. Various online method are used such as flow injection method (FIR), liquid chromatography (HPLC), infrared spectroscopy (IR), gas chromatography (GC), mass spectrometry (MS) and others developed techniques. Those instruments are quite expensive to be used by small...
Lubricant oil consisting of petroleum, mineral and synthetic based will change its characteristics based on temperature and pH value that gradually downgrades its quality. For those reasons, maintaining lubricant viscosity can guarantee maximum ability in machine functions particularly in reducing friction, protecting as well as cleaning the engine...
