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Showing 25-28 of 28 researchers in Department of Environmental Science
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Nana Kofi Ahoi Appiah-Badu

Nana Kofi Ahoi Appiah-Badu

Department of Environmental Science

The researcher's work focuses on advancing hydrological forecasting techniques by leveraging machine learning algorithms, particularly emphasizing the application of AI for accurate rainfall prediction and climate analysis. Their research extends the use of these methods to diverse regions, with a particular emphasis on improving resource management and adaptation strategies through innovative data-driven approaches.

Climate variability and models
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Hydrological Forecasting Using AI
2 pubs2 themes
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Owusu Abebrese

Owusu Abebrese

Department of Environmental Science

The researcher's work focuses primarily on developing and optimizing adaptive optimization algorithms for training deep learning models, with a particular emphasis on improving computational efficiency while maintaining model accuracy. Their research addresses key challenges in the field, including parameter uncertainty and model interpretability, contributing to both theoretical advancements in machine learning and practical applications such as image classification and natural language processing. The researcher's work is driven by the need for efficient and reliable deep learning models that can be applied across various domains while being accessible to non-expert practitioners through open-source tools and reproducible research practices.

0 pubs
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Philip Antwi-Agyei

Philip Antwi-Agyei

Department of Environmental Science

Climate change presents a complex challenge for humanity, with its profound impacts on agriculture, land use, and education. The research underscores the critical role of climate-related issues in driving food security, sustainable development, and economic growth across numerous regions. The integration of technology and education in these sectors is essential to mitigate vulnerabilities and enhance resilience. Sustainable development efforts highlight the need for effective climate-smart agricultural practices, adaptive strategies, and policy support. This theme emphasizes the importance of addressing climate variability to ensure food production systems adaptability, particularly in regions like Ghana, where challenges persist despite significant progress. The role of formal knowledge frameworks is also crucial in fostering climate-resilient communities. In addressing climate change, technical expertise plays a vital role, with studies on crop and livestock extension services providing valuable insights. The paper notes that farmers' responses to climate variability are deeply influenced by lived experiences, underscoring the importance of culturally responsive teaching. Research across various domains highlights the urgent need for innovative approaches to mitigate rising temperatures, extreme weather events, and resource scarcity. From water management to eco-friendly agriculture, the focus remains on developing strategies that support food security in a changing world.

Climate Change, Adaptation, MigrationMine drainage and remediation techniques
0 pubs36 themes
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Stephen Oppong Kwakye

Stephen Oppong Kwakye

Department of Environmental Science

The researcher's work encompasses a comprehensive study of environmental challenges across multiple domains, including climate change impacts on agriculture in Ghana, advancements in municipal solid waste management practices, hydrological and groundwater analysis studies in West Africa, and geography-based research in water resources. Their focus is on understanding how natural systems adapt to climate change while also examining the human-driven impacts through various applications.

Municipal Solid Waste ManagementHydrology and Watershed Management Studies
12 pubs5 themes
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