Results 161 to 170 of about 2,584 (186)

Using Optuna and Genetic Algorithm together facilitate the classification of plant leaf diseases

International Journal of Hybrid Intelligent Systems
The identification and severity assessment of plant leaf diseases is crucial to food security and sustainable agriculture. This study shows an innovative way to improve plant leaf disease detection. The recommended method uses Optuna for parameter optimization and the Genetic Algorithm for feature selection to improve plant leaf disease identification.
Priyanga Subbiah, Amit Kumar Tyagi, N. Krishnaraj 0001   +2 more
openaire   +1 more source

Prediction of Cardiovascular Disease using XGBoost with OPTUNA

SN Computer Science
Anamika Jain, Akansha Singh, Aman Doherey   +2 more
openaire   +1 more source

Network Intrusion Detection System Using Optuna

2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
Nishank Parekh, Arzob Sen, P. Rajasekaran, J. D. Dorathi Jayaseeli, P. Robert   +4 more
openaire   +1 more source

Diabetes Classification Problem with CatBoost Method and Optuna Gradient Boosting Optimization

2023 6th International Conference on Information and Communications Technology (ICOIACT), 2023
Safar Dwi Kurniawan, Purwono Purwono, Alfian Ma’Arif, Iswanto Suwarno   +3 more
openaire   +1 more source

OPTIMIZING AN ADAPTIVE NUMERICAL INTEGRATOR USING OPTUNA

Anais do Encontro Nacional de Modelagem Computacional e Encontro de Ciência e Tecnologia de Materiais
Daniel Augusto de Sousa Mendes, Rafael Pereira Bianchin, Ângelo de Carvalho Paulino, Angelo Passaro   +3 more
openaire   +1 more source

Optimizing Network-Level Forensics with Optuna-Generated CNN Model

TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)
Wilson Wee Shyan Lim, Jason Yeo Joon Kiat, Ng Zheng Hao Buddy, Karen Goh Sian Mei, Ang Peng Chuan Alvin, Purnima Murali Mohan   +5 more
openaire   +1 more source

Anomaly Detection based on NSL-KDD using XGBoost with Optuna Tuning

2022 7th International Conference on Business and Industrial Research (ICBIR), 2022
Farah Hana Kusumaputri, Ajib Setyo Arifin   +1 more
openaire   +1 more source

Optimized Website Traffic Forecasting with Automatic Models and Optuna

IIAI Letters on Informatics and Interdisciplinary Research
Ahadi Ningrum, Ayu, Rifqi Mulyawan
openaire   +1 more source

Optuna-CNN based proxy model for calculation of perforating shock loads

Geoenergy Science and Engineering
Qiao Deng, Guilin Qi, Jiadong Jiang, Dong Yang   +3 more
openaire   +1 more source

Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning

Frontiers in Materials
Mahmood Ahmad, Sabri Mohanad Muayad Sabri, N S Abd El-Gawaad   +2 more
exaly