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Dynamic recommendation, where users continuously interact with items over time, has been widely deployed in real-world applications. The burst of user-item interactions causes rapid evolution of bo...
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Information disorder—including mis-, dis- and mal-information—threatens democratic processes, civic trust, and public well-being. Rapid developments in generative artificial intelligence (AI) worse...
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The cooperative control of multi-agent systems (MASs) has garnered significant attention due to its broad range of applications, including environmental exploration, area coverage, and more. Two fu...
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Microalgae have emerged as a promising platform for carbon capture for producing renewable chemical feedstocks and biofuels. The economic feasibility of microalgae-based systems depends on high cos...
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𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 High-quality midwifery education depends on well-prepared and supported faculty. To strengthen the quality of midwifery education and care provision, a focus on developing and...
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Narrative visualisation is a form of visualisation that integrates storytelling with data visualisation. To be effective narrative visualisation must not miscommunicate information to its intended ...
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Encouraged by the incredible success of graph neural networks on a broad spectrum of practical applications, using this technology for credit risk prediction and recommendation has become ubiquitou...
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𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 Pregnancy-associated cancer is a growing clinical challenge due to its complex management and ethical limitations in research. This thesis aimed to explore maternal, perinatal...
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Deep learning-based recommendation systems (RS) are widely applied in e-commerce, healthcare, and personalized education, offering accurate and adaptive suggestions that enhance user experience. Ho...
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To address the twin challenges of urban food security related to climate change and increasing microbrewery popularity leading to further CO₂ emissions this study designed, built, and operated a fu...