GitHub

LSTM-based time series forecasting for wind turbine active power prediction:

This project involves predicting wind energy production using time series data from wind turbines. The approach leverages machine learning, specifically Long Short-Term Memory (LSTM) networks, to ...
GitHub

Optuna: A hyperparameter optimization framework

Help us create the next version of Optuna! Optuna 5.0 Roadmap published for review. Please take a look at the planned improvements to Optuna, and share your feedback in the github issues. PR ...
IEEE

Enhanced DNS Cybersecurity: Optimization of XGBoost Using Automated Hyperparameter Tuning via Optuna

Abstract: This paper presents an application of using Optuna for hyperparameter optimization in a context of improving the performance of an XGBoost model. The starting point from the baseline XGBoost ...
IEEE

Optuna-Optimized Machine Learning Technique for Accurate Diabetes Prediction and Classification

Abstract: Diabetes is a life-threatening chronic condition af-fecting millions worldwide., making timely prediction and risk classification crucial for effective intervention. Various machine learning ...