Code for papers Optimal Reservoir Operations using Long Short-Term Memory Network and Bi-directional Storage Capacity and Elevation Level Calculator for Reservoir Operation Management
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Updated
Sep 10, 2021 - Python
Code for papers Optimal Reservoir Operations using Long Short-Term Memory Network and Bi-directional Storage Capacity and Elevation Level Calculator for Reservoir Operation Management
The main motive of the project is to predict the amount of rainfall in a particular division or state well in advance. We predict the amount of rainfall using past data.
Reinforcing-a-Monitoring-System-of-a-Regulated-River-using-ML. A multilevel intelligent flood forecast model using a combination of multi recurrent neural network (RNN) and regression models. Through comparisons with autoregressive integrated moving average (ARIMA), Gated Recurrent Unit (GRN), Long-Short Term Memory (LSTM), and BiLSTM.
The Disaster Monitoring System is an app for flood prediction and earthquake classification. It uses water level, weather, and sensor data for insights.
Flood prediction using simple linear regression
The official repository accompanying the paper "Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations".
A mobile application that saves lives by notifying flood risks and provides Safe routes, tips and tricks and survival Guides.
Submission for Kenguruji team for Arnes Hackathon 2024
Predicte the urban flooding based on the LightGBM model
A comprehensive climate data management system providing APIs for AWS stations, weather stations, and crowdsourced data with real-time monitoring and prediction capabilities.
1D CNN for flood prediction
Flood Cause Analysis with various weather factors
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