Results 161 to 170 of about 4,344 (219)

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams. [PDF]

Sci Rep
Wen Y, Guo R, Duan Z, Tong Y, Tang X, Pan T, Fu C.   +6 more
europepmc   +1 more source

PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI INDONESIA MENGGUNAKAN ELASTIC NET REGRESSION DENGAN OPTIMASI HYPERPARAMETER OPTUNA

Poverty in Indonesia is a complex problem and is influenced by various interconnected aspects of community welfare. This study aims to evaluate the factors that influence poverty levels using the Elastic Net Regression method optimized through Optuna ...
Nur, Yunita
core  

easytrack: A napari plugin for automated parameter tuning in cell tracking. [PDF]

MicroPubl Biol
Huygelen T, Lowe A, Mao Y, Vicente-Munuera P.   +3 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  

PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection. [PDF]

Sci Rep
Jain A, Khan S, Koli K, Taneja H, Panwar A, Alshammari T, Obaid EM, Abdu SM.   +7 more
europepmc   +1 more source

Uncertainty Estimation in Predicting River Discharge Using Probabilistic Machine Learning and Conformal Prediction. [PDF]

Sensors (Basel)
Abdi E, Sattari MT, Pal M, Milewski A, Apaydin H.   +4 more
europepmc   +1 more source

Machine learning-based prediction of major amputation risk after initial limb-preserving surgery in diabetic foot. [PDF]

Front Endocrinol (Lausanne)
Yilmaz KB, Tulum G, Cuce F, Simsek Z, Mert NS, Horasan Hatipoglu S, Bozkurt C, Isik MI, Basak AM, Osman O.   +9 more
europepmc   +1 more source

Research on the Prediction of Coal Workers' Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study. [PDF]

JMIR Med Inform
Li H, Jia J, Shi X, Dong Y, Wang S, Cui Y, Hang W, Zhang D.   +7 more
europepmc   +1 more source

Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT. [PDF]

PLoS One
Zhang R, Ullah A, Khan KU, Khan MN, Chohan RT, Aadil F.   +5 more
europepmc   +1 more source