Results 101 to 110 of about 4,087 (203)
Modified Prophet+Optuna Prediction Method for Sales Estimations
International Journal of Advanced Computer Science and Applications, 2022 Kohei Arai +4 more
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Hyperparameter optimisation is crucial for maximising machine learning model performance. Still, it is computationally intensive due to the iterative nature of hyperparameter optimisation methods like SMAC, SMBOX, and frameworks like Optuna. We introduce
Salhi, Tarek, Woodward, John; id_orcid
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Urban ScienceAdvancing urban scholarship and addressing pressing challenges such as gentrification, housing affordability, and urban sprawl require robust predictive models.
Tris Kee, Winky K.O. Ho
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IEEE AccessThis study presents an integrated experimental and data-driven modeling framework for predicting key machining responses such as tool wear (TW), material removal rate (MRR), and surface roughness (Ra) during dry turning of 42CrMo4 alloy steel ...
Vasanth Siva Kumar +2 more
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Systematic Optimization of Ensemble Learning for Heart Failure Survival Prediction using SHAP and Optuna [PDF]
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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Objective: Fetal health classification is of great clinical importance as it allows the early detection and management of fetal health problems during pregnancy.This study aims to enhance fetal health classification by integrating Light Gradient Boosting
Aslan, Serpil +2 more
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Purpose – This study aims to analyze user review sentiment toward the Gojek Driver application and compare the performance of two classification algorithms, Support Vector Machine (SVM) and Naïve Bayes, using Optuna as a framework for hyperparameter ...
Nadilla Madjid, Rudi Setiawan
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SUPERVISED PERSIAN SPEECH EMOTION RECOGNITION USING DISTILHUBERT AND OPTUNA TUNING
Eurasian Journal of Mathematical and Computer ApplicationsSpeech emotion recognition (SER) is recognized as a growing field with important applications in human computer interaction. In this study, attention is given to SER for the Persian language, which is regarded as a relatively underexplored domain. A lightweight ar- chitecture is introduced, in which a frozen DistilHuBERT model is used for feature ...
S Hosseini +2 more
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An Optuna-Based Metaheuristic Optimization Framework for Biomedical Image Analysis
Engineering, Technology & Applied Science ResearchThe success of Deep Learning (DL) in biomedical imaging heavily relies on optimal hyperparameter selection, which remains a complex and computationally intensive challenge. This paper introduces a metaheuristic-inspired Optuna framework for efficient hyperparameter optimization and validates its effectiveness using U-Net as a case study for brain MRI ...
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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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