Alternatives and similar repositories for Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change

Users that are interested in Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change are comparing it to the libraries listed below

• Geraldine-Winston / Biodiversity-Loss-Prediction-under-Climate-Change-using-ensemble-deep-learning-models.
  This project leverages an ensemble of deep learning models, including MLP, CNN, and LSTM, to predict biodiversity loss under various clim…
  ☆2Updated last month
• Geraldine-Winston / Permafrost-Thaw-Prediction-using-deep-sequence-models.
  ☆2Updated last month
• Geraldine-Winston / Groundwater-Potential-Zonation-via-Convolutional-Neural-Networks-CNN-on-remote-sensing-data
  ☆1Updated last month
• Geraldine-Winston / Predictive-Mapping-of-Radon-Risk-Areas-via-ML
  ☆1Updated last month
• Beckybams / AI-powered-Symptom-Checker-Chatbot
  ☆7Updated 3 months ago
• Beckybams / Predictive-Modeling-for-Training-Effectiveness
  ☆7Updated 3 months ago
• Geraldine-Winston / Geothermal-Resource-Assessment-using-XGBoost-on-geophysical-data.
  ☆1Updated last month
• Geraldine-Winston / Sea-Level-Rise-Projection-using-sequence-models-LSTM-GRU-.
  ☆2Updated last month
• Geraldine-Winston / Climate-Resilient-Urban-Planning-using-ML-based-simulation-frameworks.
  This project builds a machine learning-based simulation framework to predict urban resilience indices and recommend climate-resilient urb…
  ☆2Updated last month
• Geraldine-Winston / Seismic-Hazard-Prediction-using-Deep-Neural-Networks-DNN-.
  ☆1Updated last month
• Geraldine-Winston / Mineral-Prospectivity-Mapping-with-Support-Vector-Machines-SVM-
  ☆1Updated last month
• Geraldine-Winston / Wildfire-Risk-Prediction-using-Random-Forests-on-climate-and-vegetation-data.
  ☆2Updated last month
• Geraldine-Winston / Petroleum-Reservoir-Property-Prediction-using-LSTM-networks-on-well-log-data.
  This project uses LSTM networks to predict reservoir properties like porosity from sequential well log data, enabling improved reservoir …
  ☆2Updated last month
• Geraldine-Winston / Greenhouse-Gas-Flux-Estimation-in-Wetlands-using-ensemble-models.
  ☆2Updated last month
• Geraldine-Winston / Climate-Risk-Assessment-for-Agriculture-using-ML-and-remote-sensing-data.
  ☆2Updated last month
• Geraldine-Winston / Climate-induced-Migration-Modeling-using-ML-classification-and-clustering.
  ☆2Updated last month
• Beckybams / NLP-for-Sentiment-Analysis-in-Internal-Communications
  ☆7Updated 3 months ago
• Geraldine-Winston / Energy-Efficient-Building-Design-Recommendations-using-deep-reinforcement-learning.
  This project develops a deep reinforcement learning agent to recommend energy-efficient building designs by optimizing parameters like wi…
  ☆2Updated last month
• Geraldine-Winston / agro-bot
  A WhatsApp bot designed to provide Nigerian farmers with real-time agricultural information including weather forecasts, crop prices, pe…
  ☆2Updated last month
• Beckybams / Chart-for-Water-Parameters-
  A Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…
  ☆7Updated 5 months ago
• Geraldine-Winston / Building-Energy-Consumption-Forecasting-under-climate-variability-using-LSTM.
  This project forecasts building energy consumption using LSTM models, incorporating climate variables like temperature and humidity. It e…
  ☆2Updated last month
• Geraldine-Winston / Geraldine-Winston
  ☆2Updated last month
• Geraldine-Winston / Water-Table-Depth-Estimation-using-Random-Forest-Regression.
  ☆1Updated last month
• Beckybams / eteh1
  Hello Digital World this is my Profile
  ☆7Updated 7 months ago
• Geraldine-Winston / Fracture-Detection-in-Borehole-Images-using-CNN-based-object-detection.
  ☆1Updated last month
• Geraldine-Winston / Soil-Erosion-Prediction-using-ensemble-learning-models.
  ☆1Updated last month
• Geraldine-Winston / Wind-Energy-Potential-Mapping-using-deep-CNNs-on-spatial-temporal-data.
  ☆2Updated last month
• Geraldine-Winston / Soil-Quality-Assessment-using-ML-models-on-remote-sensing-indices.
  ☆1Updated last month
• Geraldine-Winston / Coral-Bleaching-Prediction-under-future-warming-scenarios-using-ML-classifiers.
  ☆2Updated last month
• Geraldine-Winston / Modeling-Coastal-Erosion-using-RNNs-and-shoreline-satellite-data.
  This project uses Recurrent Neural Networks (RNNs) to model and predict coastal shoreline changes over time. By training on historical sa…
  ☆2Updated last month