Results 61 to 70 of about 2,998 (192)
A Context‐Aware Decision Support Framework for Scientific Experiment Configuration
Software: Practice and Experience, EarlyView.ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri +3 more
wiley +1 more source
Analysis of Time-Based Public Transport Demand Prediction Using OPTUNA Framework
, 2023 Buses are the most popular and easy mode of transportation in all over the world. The state government operates bus service in all routes with low-cost fare. Traffic congestion has risen at an alarming rate due to an increase in the number of automobiles.
R. Thiagarajan, et al.
core +2 more sources
steel research international, EarlyView.Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla +7 more
wiley +1 more source
Optuna Tuning Results PPO Reinforcement Learning Hyperparameters Performance
Systematic hyperparameter tuning using Optuna was expected to improve PPO model performance in a multi-microgrid environment. We hypothesized that optimizing hyperparameters like learning rate and network architecture would enhance model performance ...
Messlem, A (via Mendeley Data)
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Earthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1811-1827, 25 July 2026.ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
, 2023 The study of superconductors’ critical temperature (Tc) has been a matter of interest. A method combining a two-layer feature selection (TL) and Optuna-Stacking ensemble learning model is proposed in the study for predicting Tc from physicochemical ...
Rongshun Pan (14423149) +9 more
core +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Case study of Hyperparameter Optimization framework Optuna on a Multi-column Convolutional Neural Network [PDF]
, 2022 To observe the condition of the flower growth during the blooming period and estimate the harvest forecast of the Canola crops, the ‘Flower Counter’ application has been developed by the researchers ofP2IRC at the ...
Jeba, Jenia Afrin
core
Healthcare AnalyticsFrequent measurement of creatinine levels is vital for patients with chronic kidney disease. Traditional creatinine level measurement requires invasive blood test which has several disadvantages like discomfort, anxiety, panic, pain, risk of infection ...
Parama Sridevi +2 more
doaj +1 more source
Inflasi merupakan indikator penting yang memengaruhi kestabilan dan pertumbuhan ekonomi suatu wilayah. Prediksi inflasi yang akurat sangat dibutuhkan guna mendukung perumusan kebijakan ekonomi yang tepat.
Trimono, Trimono +2 more
core +1 more source