Oil spills potentially affect marine ecosystems and cause environmental pollution, economic impacts, job loss, human health effects and marine life damage. Therefore, detecting oil spills in contaminated areas has a substantial role in monitoring marine oil spill migration, and …
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The ability to make predictions about future events is at the heart of much of science; so, it is not surprising that prediction has been a topic of great interest in the data mining community for the last decade. Most of the previous work has attempted to predict the future bas…
In order to protect critical military and commercial space assets, the United States Space Surveillance Network must have the ability to positively identify and characterize all space objects. Unfortunately, positive identification and characterization of space objects is a manu…
This study explores healthcare coverage disparity using a quantitative analysis on a large dataset from the United States. One of the objectives is to build supervised models including decision tree and neural network to study the efficient factors in healthcare coverage. We als…
Medical time-series signal classification and analysis is an interesting problem for both medical and computer science applications. Detection and evaluation of gait locomotion and mild neurological dysfunction in humans and animals by subjective visual assessment is a difficult…
An investigation has been made into symmetry features of patterns as a means by which the patterns are described, or with which they are transformed prior to classification in order to assist a pattern recognition system. There are two main points of departure from existing symm…
Davis and Januszkiewicz introduced in 1981 a family of compact real manifolds, the Quasi-Toric Manifolds, with a group action by a torus, a direct product of circle (T) groups. Their manifolds have an orbit space which is a simple polytope with a distinct isotropy subgroup assoc…
Histopathology imaging is a type of microscopy imaging commonly used for the microlevel clinical examination of a patient's pathology. Due to the extremely large size of histopathology images, especially whole slide images (WSIs), it is difficult for pathologists to make a quant…
This study investigated the automatic recognition of emotion in English and Arabic text. We perform experiments with a new method of classification for recognising emotions using the Prediction by Partial Matching (PPM) character-based text compression scheme. These experiments …
Today, there is a substantial number of software and research groups that focus on the development of image processing software to extract useful information from medical images, in order to assist and improve patient diagnosis. The work presented in this thesis is centred on pr…
This thesis develops a robust methodology for on-line identification of power system dynamic signature based on incoming system responses from Phasor Measurement Units (PMUs) in Wide Area Measurement Systems (WAMS). Data mining techniques are used in the methodology to convert r…
Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication system is a significant issue. As the distance travelled by the information signal increases, the bit error ratio will degrade. Machine learning techniques (ML) have been used in ap…
Texture can be broadly stated as spatial variation of image intensities. Texture analysis and classification is a well researched area for its importance to many computer vision applications. Consequently, much research has focussed on deriving powerful and efficient texture des…
This thesis is dedicated to exploring the potential of the 3D shape of the nasal region for face recognition. In comparison to other parts of the face, the nose has a number of distinctive features that make it attractive for recognition purposes. It is relatively stable over di…
Skin cancer is the most frequent malignant neoplasm for Caucasian individuals. According to the Skin Cancer Foundation, the incidence of melanoma, the most malignant of skin tumours, and resultant mortality, have increased exponentially during the past 30 years, and continues to…
Phishing techniques have not only grown in number, but also in sophistication. Phishers might have a lot of approaches and tactics to conduct a well-designed phishing attack. The targets of the phishing attacks, which are mainly on-line banking consumers and payment service prov…
In the field of information retrieval and in particular classification, the mathematical and statistical rules and classifiers are not human readable. Non-human readable rules and classifiers act as a barrier in utilizing "expert knowledge" to improve results.Such barriers can be ov…
Synthetic Aperture Radar (SAR) is an active, all-weather remote sensor that can operate during day or night and penetrates cloud cover. It can construct high resolution images of the ground from airborne or space borne platforms. This project develops automatic target classifica…