Other Emerging Domains
Project Title:
Emerging AI Applications: Geospatial Intelligence, Smart Cities, and Digital Transformation
Overview:
This project explores emerging AI applications that support urban planning, renewable energy, smart cities, and digital transformation.
Key Research Focus Areas:
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Geospatial AI and land-use analytics
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Renewable energy planning (rooftop solar detection)
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Smart city decision-support systems
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AI-enabled digital governance
Current Outcomes:
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YOLO-based rooftop solar mapping
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Real-time land intelligence platforms
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Urban analytics and planning tools
Funding & Collaboration Relevance:
Aligned with NSF Smart & Connected Communities, DOE renewable energy programs, and city/state innovation grants.
Published papers:
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Paper Name |
Keywords |
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geospatial AI, land-use classification, CNN, SHAP, smart city, sustainable urbanization, urban growth, remote sensing, Sentinel-2 |
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Explainable Spatially Explicit Geospatial Artificial Intelligence in Urban Analytics |
GeoAI, graph neural networks, urban analytics, explainable AI, spatial data, GNN, XAI, city science |
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Deep Learning for Urban Land Use Category Classification: A Review and Experimental Assessment |
urban land use, deep learning, CNN, transformer, remote sensing, social sensing, multimodal fusion, classification |
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spatial data infrastructure, SDI, smart governance, IoT, geospatial, AI analytics, cloud computing, urban decision-making |
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LandSin: A Differential ML and Google API-Enabled Web Server for Real-Time Land Insights and Beyond |
land intelligence, real-time analytics, machine learning, Google API, web server, geospatial data, differential ML |
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YOLOv8, rooftop detection, aerial imagery, photovoltaic, solar energy, object detection, YOLO, PV potential assessment |
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rooftop PV, deep learning, DeepLabv3+, solar potential, urban energy planning, satellite imagery, techno-economic analysis |
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Automated Rooftop Solar Panel Detection Through Convolutional Neural Networks |
solar panel detection, CNN, aerial imagery, photovoltaic mapping, remote sensing, segmentation, renewable energy |
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LiDAR, rooftop solar, UAV, deep learning, geometric features, MLP, solar mapping, renewable energy |
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Detecting Defects in Solar Panels Using the YOLO v10 and v11 Algorithms |
solar panel defect detection, YOLOv10, YOLOv11, object detection, photovoltaic inspection, fault detection, aerial imagery |
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AI, smart city, urban governance, mobility, energy, predictive analytics, e-governance, digital transformation, case studies |
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Leveraging AI to Enable Sustainable Urban Development Through Smart and Carbon-Free Cities |
sustainable urban development, AI, carbon-free cities, ensemble learning, IoT, smart grid, predictive modeling, energy efficiency |
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Artificial Intelligence in Smart Cities — Applications, Barriers, and Future Directions: A Review |
AI, smart city, smart governance, smart mobility, smart economy, barriers, literature review, urban AI |
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digital transformation, smart city, AI, IoT, dashboard, digital maturity index, NLP, public administration |
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smart city, streetlight control, machine learning, energy optimization, IoT, LED, urban infrastructure, smart lighting |
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Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence |
generative AI, urban planning, land-use configuration, GAN, autonomous urban intelligence, geospatial AI, responsible AI |
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geodesign, AI, land use, spatial analysis, GAN, LSTM, transformer, heat island, green infrastructure, urban design |
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AI-Driven Data Governance for Smart Cities: Balancing Privacy, Efficiency, and Public Trust |
AI governance, smart city, privacy, federated learning, differential privacy, algorithmic fairness, public trust, digital rights |
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Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review |
smart sustainable city, digital technology, AI, Global South, IoT, big data, governance, digital divide, sustainability |
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How Will AI Transform Urban Observing, Sensing, Imaging, and Mapping? |
AI, urban sensing, earth observation, satellite imagery, remote sensing, urban mapping, autonomous design, geospatial big data |