machine learning

Urban Spataial Analysis
Urban Spataial Analysis
High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework
Flood-related disasters have far-reaching impacts on infrastructure and societal well-being. Though characterizing flood …
Mirza Waleed, Muhammad Sajjad
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High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework
Land use dynamics and their impact on hydrology and water quality of a river catchment: a comprehensive analysis and future scenario
Land use changes profoundly affect hydrological processes and water quality at various scales, necessitating a comprehensive …
Shiferaw Natnael, Habte Lulit, Mirza Waleed
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Land use dynamics and their impact on hydrology and water quality of a river catchment: a comprehensive analysis and future scenario
Advancing Flood Susceptibility Prediction: A Comprehensive Assessment of Machine Learning Algorithms for Disaster Risk Management
Flood susceptibility mapping (FSM) is crucial for effective flood risk management, particularly in flood-prone regions like Pakistan. …
Mirza Waleed, Muhammad Sajjad
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Advancing Flood Susceptibility Prediction: A Comprehensive Assessment of Machine Learning Algorithms for Disaster Risk Management
ML-PY based LULC Mapping
ML-PY based LULC Mapping
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Wetlands are crucial ecosystems as they enhance the quality of groundwater, protect from natural hazards, control erosion, and provide …
Mirza Waleed, Muhammad Sajjad, Muhammad Shareef Shazil, Maham Tariq, Md. Tauhidul Alam
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Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth
Urbanization-led changes in land use land cover (LULC), resulting in an increased impervious surface, significantly deteriorate urban …
Mirza Waleed, Muhammad Sajjad, Anthony Owusu Acheampong, Md Tauhidul Alam
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Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own …
Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, Safae Ijlil, Narjisse Essahlaoui, Sk Ajim Ali, Ali Essahlaoui, Quoc Bao Pham, Mirza Waleed, Sasi Kiran Palateerdham, Ana Cláudia Teodoro
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Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale