Ely Salwana

Ely Salwana
Universiti Kebangsaan Malaysia | ukm · Institute of Visual Informatics

About

54
Publications
29,005
Reads
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734
Citations
Citations since 2016
53 Research Items
730 Citations
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250

Publications

Publications (54)
Article
Full-text available
Deforestation is the long-term or permanent conversion of forest land to other uses, such as agriculture, mining, and urban development. As a result, deforestation has catastrophic consequences for the environment, including the loss of biodiversity, disruption of clean water supplies, and the acceleration of climate change. According to statistics...
Article
Purpose One of the significant dimensions in organizations is the human resource discussion and its related procedures. Human beings have a special place and particular importance in modern management to focus on organizational behavior and human resource management. The cloud-based human resource (CBHR) can be converted into human capital and impr...
Article
A query is a request for data or information from a database table or a combination of tables. It allows for a more accurate database search. SQL queries are divided into two types, namely, simple queries and complex queries. Complex SQL is the use of SQL queries that go beyond standard SQL by using the SELECT and WHERE commands. Complex SQL querie...
Article
Full-text available
As a global community, the Internet is comprised of thousands of administrative entities that operate and interact with each other. Transferring data among these entities is possible due to the process of routing, which is challenging due to the lack of centrality. Consequently, the Border Gateway Protocol (BGP) can play a vital role in the routing...
Article
The purpose of this study is to estimate the monthly and seasonal precipitation using historical measured data. Firstly two data-driven methods such as Support Vector Regression (SVR), Gaussian Process Regression (GPR) along a distance-based k-nearest neighbor method (KNN) were used. Secondly, the hybrid Support Vector Regression with the Fruit fly...
Article
In irrigation systems, salinity is a critical problem as it has undesirable impacts on crop health, agricultural throughput and farming management. Considering these, it is imperative to regularly monitor and develop measures to predict salinity of the soil to negate the salinization effects on agriculture. This paper constructs and evaluates the p...
Chapter
Full-text available
A data lake means there’s an immense data resource or repository. Data lake stores enormous data and uses advanced analytics to pair data from various sources with different types of structured, semi-structured and un-structured information. The lifeblood of a smart city is data. Effective data management is not limited to data collection and stora...
Article
With the growing of human security concerns globally, high demand of technology is needed for enhancing people’s security. The rapid advancement in RFID technology offers an auspicious future to people with robust location tracking for a wide variety of indoor applications, ensuring safer commutes and better monitoring. It can be used to minimize t...
Preprint
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated economics dynamic systems. DRL is characterized by scalability with the potential to be app...
Preprint
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated economics dynamic systems. DRL is characterized by scalability with the potential to be app...
Preprint
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated economics dynamic systems. DRL is characterized by scalability with the potential to be app...
Preprint
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated economics dynamic systems. DRL is characterized by scalability with the potential to be app...
Preprint
The popularity of deep reinforcement learning (DRL) methods in economics have been exponentially increased. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated economics dynamic systems. DRL is characterized by scalability with the potential to be app...
Article
Full-text available
The popularity of deep reinforcement learning (DRL) applications in economics has increased exponentially. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated dynamic economics systems. DRL is characterized by scalability with the potential to be appl...
Article
Full-text available
In this paper, a new hybrid model is developed to improve the accuracy in the prediction of the longitudinal dispersion coefficient (Kx) and the derivation of novel optimized explicit equations for natural streams. For this purpose, an artificial neural network (ANN) is hybridized with particle swarm optimization (PSO) and cat swarm optimization (C...
Article
Full-text available
The prediction of stock groups values has always been attractive and challenging for shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper concentrates on the future prediction of stock market groups. Four groups named diversified financials, petroleum, non-metallic minerals, and basic metals from Tehran stock exc...
Article
Full-text available
Cloud Computing facilitates business by storing an enormous amount of data in the cloud transmitted over the Internet with seamless access to the data and no hardware compatibility limitations. However, data during transmission is vulnerable to man in the middle, known plain text, chosen ciphertext, related key, and pollution attack. Therefore, upl...
Article
Due to lack of a comprehensive and accurate predictive model for estimation of non-hydrocarbon (N2 and CO2) solubility in the aqueous system, the main aim of the present study is the suggestion of new estimation tools for non-hydrocarbons solubility in the different aqueous solutions. To this end, two computational-based models, including extreme l...
Article
Disabled people often argued to have a lower socio-economic level than non-disabled as a result of low access to health, transport, education, employment and information, especially in developing countries such as Malaysia. To overcome these employment challenges, disabled people especially youth with physical disabilities, should be encouraged to...
Article
Full-text available
Effective knowledge management is important for every domain and for this purpose, ontologies have been used for many years as a prominent conceptual tool. However, there is no systematic review approach that provides clear information on how ontologies have been designed in the WM (Waste Management) domain. This type of review would be useful to a...
Article
Full-text available
Interlocking Institutional Worlds (IWs) is a concept explaining the need to interoperate between institutions (or players), to solve problems of common interest in a given domain. Managing knowledge in the IWs domain is complex, but promoting knowledge sharing based on standards and common terms agreeable to all players is essential and is somethin...
Article
Full-text available
An increase in the population of older adults raises major and serious problems faced by developing countries, especially in the problem of decreasing memory function. With the increase in population of older adults, there is also an increase in the occurrence of a decline in memory which leads to the stage of diagnosis, namely a decrease in mild c...
Article
In its effort to modernize its public service delivery, Malaysia is actively leveraging on big data analytics. To support this ambitious initiative, a new framework addressing the needs of Big Data Quality for Malaysia is imperative, as big data analytics requires high quality data in order for it to be useful. Unfortunately, a proper big data qual...
Chapter
This qualitative and ethnographic study examines how interactions embedded in the Collaborative Computational Thinking Design Practices (CCTDP) framework, has helped rural children think to solve STEM related open ended problems in English lessons. Our multimodal interactive approach revealed that students naturally has an orientation to problem so...
Chapter
Reading is an action that a person does to obtain a wider knowledge through his or her experience and this process may lead that person into a very eye-opening self-discovery. In Malaysia, reading habits rate is still at a lower level, Malaysian on average read only two books per year. About 80% of Malaysian university students are reluctant reader...
Chapter
Learning Disorder refers to a number of disorder which may influence the understanding or use of verbal or nonverbal information. The most well-known types of learning disorder involve an issue with reading, writing, listening, and speaking. When we talk about learning disorder, most people only focusing on social development plan. Therefore, in th...
Chapter
A mismatch of skillsets is a main cause to the unemployment in Malaysia. It is a situation where the level and work skillset that are available do not match the market demands and the individual does not know how to identify the skills that they have. To deal with this problem, prediction techniques is used to assist in identifying work-appropriate...
Article
Full-text available
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow prediction. This paper aims to identify models with higher accuracy, robustness, and generaliza...
Article
Full-text available
Every year the library of IIUM subscribes to quite a number of online databases with huge expenses but the utilization of these databases is countable. 10 out of 53 subscriptions have been terminated by 2015 to save the cost go in vain. The purpose of this paper is to develop a model based on the ISB elements to identify the reason behind this low...
Preprint
Full-text available
Abstract: “Internet of Things (IoT)” has emerged as a novel concept in the world of technology and communication. In modern network technologies, the capability of transmitting data through data communication networks (such as Internet or intranet) is provided for each organism (e.g. human beings, animals, things, and so forth). Due to the limited...
Article
Full-text available
“Internet of Things (IoT)” has emerged as a novel concept in the world of technology and communication. In modern network technologies, the capability of transmitting data through data communication networks (such as Internet or intranet) is provided for each organism (e.g., human beings, animals, things, and so forth). Due to the limited hardware...
Preprint
Full-text available
Adequate knowledge about the development and operation of the components of water systems is of high importance in order to optimize them. For this reason, forecasting of future events becomes greatly significant due to making the appropriate decision. Moreover, operational river management severely depends on accurate and reliable flow forecasts....
Preprint
Full-text available
Adequate knowledge about the development and operation of the components of water systems is of high importance in order to optimize them. For this reason, forecasting of future events becomes greatly significant due to making the appropriate decision. Moreover, operational river management severely depends on accurate and reliable flow forecasts....
Preprint
Greenhouse Gases (GHGs) emission has considerable impact on global warming and climate change. Since energy systems and their features noticeably influence on the amount of GHGs emission, it can be modeled based on the specifications of energy sources utilized by the countries. In addition, economic activity is another factor which should be consid...
Article
Full-text available
The combination of machine learning and numerical methods has recently become popular in the prediction of macroscopic and microscopic hydrodynamics parameters of bubble column reactors. Such numerical combination can develop a smart multiphase bubble column reactor with the ability of low-cost computational time when considering the big data. Howe...
Preprint
Full-text available
The combination of artificial intelligence algorithms and numerical methods has recently become popular in the prediction of macroscopic and microscopic hydrodynamics parameters of bubble column reactors. The multi inputs and outputs machine learning can cover small phase interactions or large fluid behavior in industrial domains. This numerical co...
Preprint
Full-text available
Due to low working temperature, high energy density and low pollution, proton exchange fuel cells have been investigated under different operating conditions in different applications. Using platinum catalyst in methanol fuel cell leads to increasing the cost of this kind of fuel cells which is considered as a barrier to commercialism of this techn...
Preprint
Solar energy is a renewable resources of energy which is broadly utilized and have the least pollution impact between the available alternatives of fossil fuels. In this investigation, machine leaening approaches of neural networks (NN), neuro-fuzzy and least squares support vector machine (LSSVM) are used to build the models for prediction of the...
Article
Full-text available
The main aims and contributions of the present paper are to use new soft computing methods for the simulation of scour geometry (depth/height and locations) in a comparative framework. Five models were used for the prediction of the dimension and location of the scour pit. The five developed models in this study are multilayer perceptron (MLP) neur...
Article
Full-text available
An extensive variety of chemical engineering processes include the transfer of heat energy. Since increasing the effective contact surface is known as one of the popular manners to improve the efficiency of heat transfer, the attention to the nanofluids has been attracted. Due to the difficulty and high cost of an experimental study, researchers ha...
Article
Information technology plays an important role in the daily life of the community. Various challenges of technology use such as the use of technology will affect digital communications. The main purpose of this study is to understand the acceptance of technology and the issues faced by rural communities that include seniors in today's technology. T...
Chapter
Every year there are several online databases are subscribed by the library of International Islamic University Malaysia (IIUM) which allows around 15,625 undergraduate (UG) students to access and utilize the resources. Reported from IIUM library, up to the year 2015, 10 out of 53 online databases have been terminated from the subscription due to t...
Article
Full-text available
SQL injection happened in electronic records in database and it is still exist even after two decades since it first happened. Most of the web-based applications are still vulnerable to the SQL injection attacks. Although technology had improved a lot during these past years, but, hackers still can find holes to perform the SQL injection. There are...
Article
Dengue is an epidemic-disease by mosquito-borne virus that spreads easily in geographically affected areas. Dengue outbreak management system has increasingly being developed in identifying and controlling the spread of dengue but with some limitation. The growing development of wearable Internet of Things (IoT), cloud computing, analytical approac...
Chapter
Academic structure for bachelor degree in Malaysia universities consists of Final Year Project (FYP). Unfortunately, the management of the FYP is implemented manually or not fully utilizing an integrated computer system. It results in slower implementation of the FYP and inaccurate marks for the project’s evaluation. This article proposes a new app...
Conference Paper
Full-text available
Effective knowledge management is crucial in the Waste Management (WM) domain. Accordingly, this paper proposes the OntoWM domain ontology, developed through use of key phases of the Design Science Research Methodology. To demonstrate the OntoWM ontology's usefulness, it has been piloted through the SmartBin developed for bins collection process cu...
Article
The balance of human capital supply and industry demands are crucial to sustain a competitive advantage in order to ensure stability of economic growth. Unfortunately, companies often find it hard to recruit the right people. Many ideas obviously relate to connect human capital to education because human capital is created through education. In the...
Article
Full-text available
The study is about the security system of database management (DBMS) and proposed method. Information is an essential element in database management system where the users trust service providers will have a secure system to protect and prevent their information from malicious attack or stealing information. There are few types of technique applied...
Article
Dental stem cells isolated for human dental pulp are an excellent source for regenerative medicine and dentistry. Simulation of clinical scenario is one of the crucial challenges for evaluation of the efficacy of DPSCs in various regenerative therapies. In this study we evaluated the viability of DPSCs after treatment with artificial bacterial lipo...
Article
Full-text available
In the present study hydraulic scaled model was conducted to evaluate an intake structure and checking its safety hydraulic performance. An investigation on the structural and mechanical equipment performance was performed by testing a scaled model to determine discharge capacity and head losses. In addition, the novel method established on Support...
Article
The evolutions of using information system in almost organizations produce more systematic management activities. Therefore, this project is developed to fulfill the organization requirement, which is to Develop Management Information System Based on Research on Effectiveness of Information System Services. Developer use Unit Penguatkuasa, Majlis P...

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Projects (2)
Project
This study aims to: i) Investigate what kind of skills and their factors needed to prepare women in facing the industry 4.0 ii) Develop a model based on identified skills and factors
Project
Improving in Packet Delivery Ratio(PDR), Packet Receiption Ratio(PRR), Delay Tolerant in Queue and Energy Consumption.