Much of the world's information in industry/office settings continues to be initially recorded in the form of handwritten documents. Examples include notes taken at meetings, lectures, and even medical records. One important drawback inherent to such handwritten notes is that th…
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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…
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…
Harmony is the aspect of music concerned with the structure, progression, and relation of chords. In Western tonal music each period had different rules and practices of harmony. Similarly some composers and musicians are recognised for their characteristic harmonic patterns whi…
Digital document processing is becoming popular for applications to office and library automation, bank and postal services, publishing houses and communication management. In recent years, the demand for tools capable of searching written and spoken sources of multilingual info…
This dissertation focuses on the classification of one-dimensional and two-dimensional signals. The one-dimensional signal classification problem involves the classification of brain signals for identifying the emotional responses of human subjects under given drug conditions. A…
Feature extraction, classification, and sensor performance evaluation and improvement are three of the key topics in gas identification with chemical sensors. This dissertation is particularly focused on the following research topics: searching a generally useful feature extract…
It is well-recognized that civil infrastructure monitoring approaches that rely on visual approaches will continue to be an important methodology for condition assessment of such systems. Part of this study presents and evaluates the underlying technical elements for the develop…
Mine detection is an area of intense research due to its important implications in humanitarian and battlefield related issues. Underwater mine detection is a challenging problem due to various factors such as environmental conditions, background clutter, backscattering, target …
Fingerprints are one of the most widely used personal identification traits. They play a crucial role in forensics because they are considered to be unique to each person. For many years, the identification of individuals had been carried out by human operators. However, with te…
Breast cancer is the most frequently diagnosed cancer and ranks second among cancer deaths in the U.S. for women. Microcalcification detection and characterization plays an important role in the early diagnosis of breast cancer and is one of the earliest signs of malignancy. The…
The design of a machine which reads unconstrained words still remains an unsolved problem. For example, automatic interpretation of handwritten documents by a computer is still under research. Most systems attempt to segment words into letters and read words one character at a t…
The dramatic growth in the number of fuzzy logic applications requires computing systems that can process various fuzzy logic and inference operations fast and efficiently. This dissertation focuses on developing high-performance and cost-effective optical fuzzy computing system…
Digital image forensics entails the deduction of the origin, history and authenticity of a digital image. While a number of powerful techniques have been developed for this purpose, much of the focus has been on images depicting natural scenes and generic objects. In this thesis…
Phantom Limb Pain (PLP) is commonly suffered by people with amputations and even though it has been studied for centuries, it remains a mysterious object of debate among researchers. For one thing, despite the vast number of proposed PLP treatments, no therapy has so far proved …
Throughout the history of machine audition research, neuroscience has played a pivotal role by offering a bountiful source of inspiration for novel acoustic features, algorithms, and architectures. To achieve more capable, efficient, and reliable machine auditory systems, it cal…