Results 91 to 100 of about 2,998 (192)

Modified Prophet+Optuna Prediction Method for Sales Estimations

International Journal of Advanced Computer Science and Applications, 2022
Kohei Arai, Ikuya Fujikawa, Yusuke Nakagawa, Tatsuya Momozaki, Sayuri Ogawa   +4 more
openaire   +1 more source

Ionospheric TEC Prediction in low-latitude Indian region during geomagnetic storm periods based on XGBoost with Optuna framework and comparison with IRI-Plas 2020

This paper introduces a strong 24-hour TEC forecast model based on the Extreme Gradient Boosting (XGBoost) algorithm, implemented for GPS-based TEC data at both the IISC and Chum stations.
Kumar, S. Kishore, Jude, Andrew F., Kenisha, J., Logesh, S., Dass, Sarat C.; id_orcid, Muthukumaran, T., Mukesh, R., Kiruthiga, S., Cynthia, G.   +8 more
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PREDIKSI HARGA DAGING AYAM BROILER DI JAWA TIMUR MENGGUNAKAN METODE XGBOOST DENGAN OPTIMASI OPTUNA

Broiler chicken meat is one of the most widely consumed poultry commodities in Indonesia due to its affordable price and abundant availability. However, broiler chicken prices often experience significant fluctuations due to various factors, such as the ...
Salsabilah, Elina
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The Influence of Hardware on the Effectiveness of Automated Hyperparameter Optimization with Optuna

, 2022
Durch die Relevanz guter Hyperparameter für Machine Learning Projekte, haben sich Frameworks, die diese automatisiert ermitteln etabliert. Die vorliegende Arbeit untersucht den Einfluss der Hardware, die für die Optimierung der Hyperparameter mittels des
Stroblberger, Christoph
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Systematic Optimization of Ensemble Learning for Heart Failure Survival Prediction using SHAP and Optuna

Heart failure (HF) stands as a major global health problem where precise and early prediction of patient prognosis is essential for improving clinical management and patient care.
Zaky, Umar, Setia, Bayu
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Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest

To address the limitation of traditional machine learning models in explaining the rockburst intensity prediction process, this study proposes an interpretable rockburst intensity prediction model.
Shunchuan Wu, Yaxi Shen, Yongbing Wang, Zhiquan Yang, Jiaxin Wang   +4 more
core   +1 more source

An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest

This study proposed an interpretable model that combines Random Forest (RF), Optuna hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal landslide susceptibility evaluation and provide explanations in the northwest ...
Jiangcheng Huang, Xuan Ji, Xuan Luo, Xin Xiao, Yi Zou, Meng Li, Yungang Li, Luyi Yang, Pengwu Yang   +8 more
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Soft ground micro TBM jack speed and torque prediction using machine learning models through operator data and micro TBM-log data synchronization

Scientific Reports
Tunnel Boring Machines (TBMs) are pivotal in underground projects like subways, highways, and water supply tunnels. Predicting and monitoring jack speed and torque is crucial for optimizing TBM excavation efficiency.
Kursat Kilic, Owada Narihiro, Hajime Ikeda, Tsuyoshi Adachi, Youhei Kawamura   +4 more
doaj   +1 more source

Low-Resource Speech Recognition by Fine-Tuning Whisper with Optuna-LoRA

Applied Sciences
In low-resource speech recognition, the performance of the Whisper model is often limited by the size of the available training data. To address this challenge, this paper proposes a training optimization method for the Whisper model that integrates Low-Rank Adaptation (LoRA) with the Optuna hyperparameter optimization framework. This combined approach
Huan Wang, Jie Bin, Chunyan Gou, Lian Yang, Baolin Hou, Mingwei Qin   +5 more
openaire   +1 more source

Pronóstico de la velocidad del viento entre 80-95 km sobre la costa peruana utilizando EM, VMD, LSTM y Optuna

Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Estadística AplicadaEl análisis de la predicción del viento en la mesósfera y baja termósfera (MLT) es esencial para entender mejor las dinámicas atmosféricas sobre Lima y
Mauricio Timana Christian
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