Browsing Research Articles [CoCSE] by Author "Bock, Yorick"
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Extreme Rainfall Event Classification Using Machine Learning for Kikuletwa River Floods
Mdegela, Lawrence; Municio, Esteban; Bock, Yorick; Luhanga, Edith; Leo, Judith; Mannens, Erik (MDPI, 2023-03-08)Advancements in machine learning techniques, availability of more data sets, and increased computing power have enabled a significant growth in a number of research areas. Predicting, detecting, and classifying complex ... -
Extreme Rainfall Events Classification Using Machine Learning for Kikuletwa River Floods
Mdegela, Lawrence; Municio, Esteban; Bock, Yorick; Mannens, Erik; Luhanga, Edith; Leo, Judith (Preprints, 2023-02-20)Advancements in Machine Learning techniques, availability of more data-sets, and 1 increased computing power have enabled a significant growth in a number research areas. Predicting, 2 detecting and classifying complex ... -
Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
Mdegela, Lawrence; Bock, Yorick; Luhanga, Edith; Leo, Judith; Mannens, Erik (Elsevier, 2023-08)Floods are a recurring natural disaster that pose significant risks to communities and infrastructure. The lack of reliable and accurate data on river systems in developing countries has hindered the development of effective ... -
A Multi-Modal Wireless Sensor System for River Monitoring: A Case for Kikuletwa River Floods in Tanzania
Mdegela, Lawrence; Bock, Yorick; Municio, Esteban; Luhanga, Edith; Leo, Judith; Mannens, Erik (MDPI, 2023-04-17)Reliable and accurate flood prediction in poorly gauged basins is challenging due to data scarcity, especially in developing countries where many rivers remain insufficiently monitored. This hinders the design and development ... -
Sensor-Based River Monitoring System: A Case for Kikuletwa River Floods in Tanzania
Mdegela, Lawrence; Bock, Yorick; Municio, Esteban; Luhanga, Edith; Leo, Judith; Latré, Steven (Preprints, 2023-02-01)Reliable and accurate flood prediction is a challenging task in poorly gauged basins due 1 to data scarcity. Data is an essential component of any AI/ML model today, and the performance 2 of such models hugely depends on ...