Results 101 to 110 of about 4,028 (199)

SUPERVISED PERSIAN SPEECH EMOTION RECOGNITION USING DISTILHUBERT AND OPTUNA TUNING

Eurasian Journal of Mathematical and Computer Applications
Speech 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, A Ahmadianshalchi, M Houshmand   +2 more
openaire   +1 more source

Sentiment Analysis of Gojek Driver Application Reviews Using Support Vector Machine and Naïve Bayes with Optuna-Based Hyperparameter Tuning

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
core   +1 more source

Optuna ML Framework for SCBA Concrete Strength

International Journal of Concrete Structures and Materials
The cement industry plays a crucial role in global CO2 emissions. As demand for cement continues to rise, innovative solutions are required to mitigate its environmental impact.
Isaac Ajibola Fakoya, Abidemi Bashiru Folorunsho, Seungwon Kim, Cheolwoo Park   +3 more
doaj   +1 more source

An Optuna-Based Metaheuristic Optimization Framework for Biomedical Image Analysis

Engineering, Technology & Applied Science Research
The 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 ...
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
core   +1 more source

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
core  

Random Forest Models with Optuna and VMD in Predicting Resistor Resistance Value

Resistors play an indispensable role in modern electronic devices. The variation of resistor values is often nonlinear and influenced by multiple factors, and changes in resistor values directly affect the performance of electronic components. Accurately predicting resistor value changes has thus become a research focus.
Zhang, Jianjun, Li, Hao, Wang, Shenglei, Wang, Junjun, Qin, Wenqiang   +4 more
openaire   +1 more source

Machine learning models for predicting the hardness of additively manufactured Polymethyl Methacrylate (PMMA) parts for biomedical applications. [PDF]

PLoS One
Veeman D, Ponnuswamy PC, Vellaisamy M, Mangayarkarasi SAK, Katiyar JK.   +4 more
europepmc   +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
core  

Risk stratification in intermediate asymptomatic carotid artery disease: a multi-modal approach combining local flow dynamics and systemic clinical profiles. [PDF]

Front Surg
Siogkas P, Pleouras D, Potsika V, Tsakanikas V, Sigala F, Galyfos G, Charalampopoulos G, Koncar I, Fotiadis DI.   +8 more
europepmc   +1 more source