Faculty of Computing

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Subject: search.filters.subject.Sustainability

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    GeoAI at the forefront of climate action
    (Global Journal of Engineering and Technology Advances, 2025-08-21) MAVISCLARA, OHAKA AMARACHI; Esekie, Jeffery Omozokpia; Atoyebi, Temitope Olufunmi; ATUMAH, Prayer Erumusele; Akadiri, Oluwatoyin Olawale; JIMOH, Rildwan Adekunle; IBRAHIM, ISIAKA OSHOBUGIE
    GeoAI, merging artificial intelligence with geospatial data, is transforming climate change mitigation and adaptation. This review synthesizes 2020–2025 advancements, focusing on deep learning models like convolutional neural networks (CNNs) and transformers, achieving 90–95% accuracy in flood prediction, carbon sequestration mapping, and urban heat mitigation. Key mitigation strategies include forest biomass estimation in the Amazon and renewable energy optimization in India, while adaptation efforts encompass real-time flood mapping in Bangladesh and coastal resilience modeling in the Pacific Islands. Despite successes, challenges persist, including data biases, computational costs, and ethical concerns like privacy in urban GeoAI applications. Public discourse on platforms like X highlights demand for equitable climate solutions, reflected in discussions on wildfires and Arctic rain. Future directions involve federated learning for privacy-preserving GeoAI and generative AI for climate scenario modeling. Aligning with Sustainable Development Goal 13, GeoAI offers transformative potential to enhance global climate resilience, necessitating investment in open-access tools and interdisciplinary collaboration to address research gaps and ensure inclusivity.
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    Engineering Resilience
    (World Journal of Advanced Engineering Technology and Sciences, 2025-10-21) Ohaka Amarachi Mavisclara; Ibrahim Isiaka Oshobugie; Atoyebi, Temitope Olufunmi; Suleiman Mustapha; Adeyinka Taslim Olabode; Ozuruoha Nkiruka Esther; Oyeboade Adekunle Yakub
    As climate change intensifies floods, heatwaves, and sea-level rise, global infrastructure faces unprecedented vulnerabilities, with damages reaching $360 billion in 2022. This review explores how smart technologies, artificial intelligence (AI), Internet of Things (IoT), digital twins, and resilient materials, transform climate-resilient infrastructure to withstand these escalating hazards. Synthesizing recent advancements from the last five years, it examines their applications in urban and rural contexts, drawing on case studies from the Netherlands’ IoT-enabled dikes, Singapore’s AI-driven urban planning, and Ghana’s cost-effective rural solutions. These innovations reduce maintenance costs by 15-25%, enhance flood response times by 40%, and align with Sustainable Development Goals (SDGs) for equitable, sustainable development. However, economic barriers, governance gaps, and equity challenges hinder global adoption, particularly in developing nations where connectivity and funding limit scalability. The review proposes future directions, including open-source platforms, public-private partnerships, and interdisciplinary research to address multi-hazard risks. By integrating data-driven engineering with green infrastructure, this study offers a roadmap for policymakers and engineers to build climate-proof infrastructure that ensures safety, sustainability, and resilience. This comprehensive synthesis underscores the urgent need for collaborative, inclusive strategies to safeguard global infrastructure against climate change, providing actionable insights for a resilient future.