Results 111 to 120 of about 4,087 (203)

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

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

Trustworthy AI models to predict prolonged hospital length-of-stay in orthopedic surgery. [PDF]

Npj Health Syst
Rezvani F, Kann MR, Gao F, Gupta P, Myers N, Kashefi A, Visweswaran S, Wang Y, Hogan MV, Plate JF, Tafti AP.   +10 more
europepmc   +1 more source

Multichannel SSA decomposition in a hybrid SSA-N-BEATS framework for complex time series forecasting. [PDF]

MethodsX
Pratama AA, Hendikawati P.
europepmc   +1 more source

Real-Hardware Deployment of a Nussbaum-Function PID Controller on a Current-Controlled Low-Cost Actuator via Hardware-Aware Optuna Tuning. [PDF]

Sensors (Basel)
Zafaranchizadeh Moghaddam D, Tveretina O, Zaraki A.   +2 more
europepmc   +1 more source

Comparing Ensemble and Standalone Machine Learning Models for Optimizing Biodiesel Production via Esterification. [PDF]

ACS Omega
Şenoymak Tarakçı Mİ.
europepmc   +1 more source

PERAMALAN KUNJUNGAN WISATAWAN MANCANEGARA MENGGUNAKAN MODEL SARIMA-XGBOOST DENGAN OPTIMASI OPTUNA

The Indonesian tourism sector has experienced significant changes following the COVID-19 pandemic, highlighting the need for accurate forecasting systems to support data-driven policy decisions.
Malva, Maisie Yunita
core