Rapid strides made in the development of computing infrastructure over the last ten years have played a crucial role in significantly advancing the state-of-the-art in reinforcement learning. These developments have enabled the successful implementation of reinforcement learning…
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The impacts of climate change will exacerbate humanitarian crises at a global level, and there is an urgent need to eliminate greenhouse gas (GHG) emissions from the power system infrastructure. While deploying clean energy resources in the current grid will help in decarbonizat…
Machine learning-based decision support systems bring relief to the decision-makers in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These support systems facilitate processing tremendous amounts of …
Time series analysis is essential for a wide range of fields, ranging from business intelligence to healthcare. Among various time series data, two representative types of time series are temporally-ordered wearable sensory data (e.g., heart rate) and human behavioral data (e.g.…
The purpose of this study was to contrast undergraduate students' descriptions about professor pedagogical content knowledge, motivation, transformational teaching practices, and student deep learning in bachelor English programs for selected universities within Pakistan. The va…
Deep learning is the state-of-the-art technique in machine learning with applications in speech recognition. In this study, an efficient system is formulated to process large amounts of speech data within the deep learning framework by harnessing the parallel processing power of…
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality…
The shape of an object is an important characteristic for many vision problems such as segmentation, detection and tracking. Being independent of appearance, it is possible to generalise to a large range of objects from only small amounts of data. However, shapes represented as …
Preparing future architects for the challenges of rapidly shifting global, regional and local environments should be at the forefront of architectural education. This research considers sustainability as a contestable concept that requires critical engagement to develop innovati…
Genomic and epigenomic data are being obtained experimentally at an ever-increasing rate. As datasets become easier and cheaper to collect, computational methods allowing their interpretation and integration gain in importance. This thesis addresses the problem of using omic dat…
Robust solutions to image classification is a challenging task since approaches should be able to successfully discriminate between the different classes, whilst being able to generalise across a large amount of intra-class variations. In an extension of image classification to …
Video compression is pervasive in digital society. With rising usage of deep convolutional neural networks (CNNs) in the fields of computer vision, video analysis and video tampering detection, it is important to investigate how patterns invisible to human eyes may be influencin…
The purpose of this action research was to examine how a narrative case study in an online asynchronous world religions course affected learners' understandings, appreciation, and respect for the beliefs and values of others. The world religions course examined a variety of reli…
MRI is a medical machine with a large magnet and radio waves to scan organs and body structures, especially in the head scans. During the scanning process, head motion is a major source of error for brain MRI. There is no direct method to assess head motion during MRI scans. To …
Our ability to study and conserve ecosystems directly depends on how much information we have about them. Motion-activated cameras also known as camera traps are cheap and non-intrusive tools to gather millions of images from wildlife. However, extracting useful information such…
Fingerprints are unique to each person and they have been widely used and accepted for identification purposes by the society. Fingerprints can be captured by using ink and paper to get a print and then digitizing it or more recently by using specialized sensors. But in both cas…
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…
Alibaba Cloud’s preemptible instances are marketed as a type of on-demand instances designed to minimize Elastic Compute Service (ECS) instance costs, similarly to the spot instances offered by Amazon Web Services (AWS). Clients purchase preemptible instances by submitting a bid…
Robust Speaker Recognition (SR) has been a focus of attention for researchers since long. The advancement in speech-aided technologies especially biometrics highlights the necessity of foolproof SR systems. However, the performance of a SR system critically depends on the qualit…