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        Advanced deep regression models for smart operation of the oil and gas industry 

        Hosseini, Siavash (2023)
        The first industrial revolution in the early 18th century largely exploited steam power to replace animal labor. Since then, there has been rapid development in industrial operations. Now, the world has come to the brink ...
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        Application of artificial intelligence in fault detection and classification of solar power plants and prediction of power generation of combined cycled power plants 

        Pa, Mary (2022)
        Solar energy is one of the most dependable renewable energy technologies, as it is feasible almost everywhere globally and is environmentally friendly. Photovoltaic-based renewable energy systems are highly susceptible ...
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        A data warehouse-oriented methodology for qualitative semi-structured web information and social networking sites' user status search 

        Kabir, Md. Shahriar (2019)
        Finding most desired and useful information from the diverse information and content embedded on webpages has become more challenging due to the rapid growth of websites and webpages, dynamic changes and updates of ...
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        Deep learning techniques for the radiological imaging of COVID-19 

        Hertel, Robert (2021)
        The AI research community has recently been intensely focused on diagnosing COVID19 by applying deep learning technology to the X-ray scans taken of COVID-19 patients. COVID-19 shares many of the same imaging characteristics ...
      • Development of an advanced thermal imaging-based human fall detection system 

        Silver, Christopher (2024)
        Falls represent a significant risk to the elderly population, often leading to severe injuries or fatalities. Automatic fall detection systems (FDS) are critical for mitigating these risks; however, existing solutions, ...
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        The effects of I/Q imbalance and improper Gaussian noise on different wireless communication systems 

        Alsmadi, Malek (2020)
        The next-generation of wireless networks is required to support a myriad of new demands, including higher data rate, lower latency, greater system capacity, massive connectivity, as well as increased power efficiency. ...
      • Enhancing agricultural semantic segmentation: architectural innovations and strategies for reducing model complexity 

        Ling, Chee Mei (2025)
        Agricultural image semantic segmentation plays a vital role in precision agriculture, enabling accurate analysis of visual data to enhance crop management and optimize resource use. However, achieving high segmentation ...
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        Enhancing semantic segmentation: architectural innovations and strategies for label-efficient learning 

        Suresh, Tharrengini (2025)
        Semantic segmentation is a fundamental component of modern computer vision applications. Although supervised learning models have achieved state-of-the-art performance in this domain, they rely heavily on large volumes ...
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        From social media to expert reports: automatically validating and extending complex conceptual models using machine learning approaches 

        Sandhu, Mannila (2019)
        Given the importance of developing accurate models of any complex system, the modeling process often seeks to be comprehensive by including experts and community members. While many qualitative modeling processes can ...
      • Integrating multi-omics data via latent space construction for breast and bladder cancer analysis 

        Boominathan, Arvind Chidambaram (2025)
        Cancer remains one of the most complex and heterogeneous diseases, driven by intricate interactions across genetic, epigenetic, and transcriptional landscapes. Accurately understanding and predicting tumor characteristics, ...
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        A novel framework for standardizing and digitizing clinical pathways in healthcare information systems 

        Alahmar, Ayman (2020)
        Most healthcare institutions are reorganizing their healthcare delivery systems based on Clinical Pathways (CPs). CPs are medical management plans designed to standardize medical activities, reduce cost, optimize resource ...
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        Optimization of hospital emergency department 

        Simpson, Mackenzie Robert Andrew (2021)
        This thesis is centered around the topic of emergency department(ED) optimization. Working in conjunction with the Thunder Bay Regional Health Sciences Centre a simulation model was developed to determine an optimal ...
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        Visible light positioning systems under imperfect synchronization and signal-dependant noise 

        Cheema, Ahmad (2022)
        Optical Wireless Communication (OWC) is an enabling technology for sixth-generation (6G) and beyond communication networks. Visible light communication (VLC) is a crucial branch of OWC technology expected to meet 6G ...

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