Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 353 for “"QA Mathematics"”.
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Integrating In-Silico Models with In-Vitro Data to Generate Novel Insights into Biological Systems
Models and computational predictions are useful in identifying certain key parameters that play a central role in defining the overall behavior of the system, and thus lead to new and more informative experiments. In this thesis, in-silico models are developed over a range of individual biological …
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A framework approach to initialisation dependent clustering methodologies
Clustering algorithms are commonly used for exploratory data analysis and data mining and used correctly are powerful tools for gaining insights into the underlying structure of data. It is known however that some of these algorithms are dependent upon the parameters with which they start, giving …
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An improved self organizing map using jaccard new measure for textual bugs data clustering
In software projects there is a data repository which contains the bug reports. These bugs are required to carefully analyze to resolve the problem. Handling these bugs humanly is extremely time consuming process, and it can result the delaying in addressing some important bugs resolutions. To …
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A proposed algorithm of random vector in measuring similarity for network topology of Bursa Malaysia
The stock market is a complex system where the interrelationships between the stocks are complicated because it is in multivariate time series setting which consists of opening, highest, lowest and closing prices. Basically, the Pearson correlation coefficient (PCC) is applied to measure the …
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Simulation of steady mixed convection in a lid-driven cavity filled with newtonian fluid by finite volume method
The steady mixed convection flow in a lid-driven cavity was simulated. The cavity was filled with a Newtonian fluid, both vertical walls are adiabatic, while the horizontal walls were either fixed cold and uniformly/oscillatory heated. Firstly, the effect of internal heat generation or absorption …
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Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
File carving tools are essential element of digital forensic investigation for recovering evidence data from computer disk drives. Today, JPEG image files are popular file formats that have less structured contents which make its carving possible in the absence of any file system metadata. However, …
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Efficient schemes on solving fractional integro-differential equations
Fractional integro-differential equation (FIDE) emerges in various modelling of physical phenomena. In most cases, finding the exact analytical solution for FIDE is difficult or not possible. Hence, the methods producing highly accurate numerical solution in efficient ways are often sought after. …
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Developing risk management framework for wellhead and christmas tree equipment
Poor design may cause product failure, can be affected the manufacturing processes such as delay in delivery time, increased cost, poor quality, lose time, and risk for lost time injury (LTI). To remain competitive in global marketplace the manufacturing wellhead and christmas tree equipment …
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Malaysia household incomes classification prediction with k-means clustering and fuzzy inference system
The economy level of the citizen has become a main concern for Malaysia as a developing country to improve the living status. On this point of view, the household income data would be a very useful information to measure the economic status of the population in Malaysia. This study aims to build a …
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Unsteady newtonian and non-newtonian fluid flows in the circular tube in the presence of magnetic field using caputo-fabrizio derivative
This thesis investigates analytically the magnetohydrodynamics (MHD) transport of Newtonian and non-Newtonian fluids flows inside a circular channel. The flow was subjected to an external electric field for the Newtonian model and a uniform transverse magnetic field for all models. Pressure …
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Numerical solution of fractional partial differential equations by spectral methods
Fractional partial differential equations (FPDEs) have become essential tool for the modeling of physical models by using spectral methods. In the last few decades, spectral methods have been developed for the solution of time and space dimensional FPDEs. There are different types of spectral …
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Automated human age at death estimation system from long bones histology
Human age estimation at death from bone histology is a frequent and important requirement in forensic anthropology. Usually human age at death is estimated manually from bone histology or morphology. Manual methods of age estimation from bone histology involve three main phases that includes, …
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Key schedule algorithm based on coordinate geometry of a three-dimensional hybrid cube
Cryptographic algorithms play an important role in information security where it ensures the security of data across the network or storage. A key schedule algorithm is the mechanism that generates and schedules all session-keys for the encryption process. The 2-dimensional hybrid cube is generated …
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Immersive real-time multi-user interaction with computer simulated pedestrians during emergencies
Crowd management is a key issue in large public assemblies in both emergency and nonemergency scenarios. It is important to be able to train for crowd management and test crowd management procedures for both emergency and non-emergency scenarios, however, full-scale exercises are costly, difficult …
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Enhancing social skills of children with HFA using assistive technology
Social skills training (SST) interventions are crucial to train and enhance the social skills of children with autism spectrum disorder (ASD). SST interventions provide learning experiences to teach children the necessary skills to interact successfully with their social environment. Although …
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Dynamic image crowd representations for improved anomaly detection using generative adversarial networks
Crowd formations are inevitable in many environments, and hence planning for, and managing crowds are integral parts of city and event planning. Effective analysis of crowd behaviour and anomaly detection has the potential for more efficient management and is a building block for smart …
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Multi-criteria decision support for energy-efficient IoT edge computing offloading
Computation offloading is one of the primary technological enablers of the Internet of Things (IoT), as it helps address individual devices’ resource restrictions (e.g. process- ing and memory). In the past, offloading would always utilise remote cloud infrastruc- tures, but the increasing size of …
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Examining the Impact of social media engagement on students’ motivation in MOOCs
The rapid development of Massive Online Open Courses (MOOCs) has attracted significant attention. Despite the publicity, one of the major problems is the high dropout of MOOC learners. Many MOOCs attract thousands of learners; thus, it is inevitable that they will have diverse motivations for …
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