gru-neural-network

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binru33 / nasa-battery-SOH-pipeline

An improved temporal data pipeline with foundational model for battery State of Health (SOH) prediction (R²->0.99) using advanced time series decomposition (D3R, CEEMDAN) and transformer-based methods. Utilized 100-150 features (ARIMA-based, Rolling statistics, Degradation indicators)

rolling-statistics foundational-models gru-neural-network ceemdan-lstm-arima emd-gru-arima-hybrid d3r-decomposition arima-based-features grid-scale-energy-storage-monitoring predictive-maintenance-scheduling battery-lifecycle-optimization

Updated Jan 25, 2026
Python

gabrielfmcoelho / Modelagem-de-tipos-de-processo-e-de-caminhos-tipicos-a-partir-de-registros-de-atividades

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Pesquisa aplicada, conduzida como estudo de caso único na SEAD-PI, sobre os processos concluídos em 2025 no SEI: constrói-se um grafo de eventos, clusteriza-se os processos pelo documento inicial e pelo histórico de atividades, e o caminho típico de cada cluster é modelado a partir de três alfabetos de traço.

clustering graphs modeling machine-learning-algorithms markov-chain transformers knowledge-graph process-mining model-evaluation hdbscan knn-algorithm leiden-algorithm government-transparency gru-neural-network

Updated Aug 31, 2026
Python

AnjaliiD / Bangalore-AQI-Prediction-and-Forecasting-AI

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Deep learning-based Air Quality Index forecasting for Bangalore using GRU neural networks. Predicts AQI for the next 7 days with 70% accuracy (R²=0.70). Built with TensorFlow/Keras.

data-science machine-learning deep-learning tensorflow keras air-quality gru time-series-forecasting environmental-data air-quality-index gru-neural-network

Updated Nov 2, 2025
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