Results 131 to 140 of about 1,354,279 (305)

Optimum thresholding using mean and conditional mean squared error [PDF]

open access: yesJournal of Econometrics, 2017
J. E. Figueroa-L'opez, C. Mancini
semanticscholar   +1 more source

Model identification of Solid Oxide Fuel Cell using hybrid Elman Neural Network/Quantum Pathfinder algorithm

open access: yesEnergy Reports, 2021
In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN).
Hailong Jia, Bahman Taheri
doaj  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

A Comparative Analysis of Machine Learning and Deep Learning Techniques for Accurate Market Price Forecasting

open access: yesAnalytics
This study compares three machine learning and deep learning models—Support Vector Regression (SVR), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM)—for predicting market prices using the NGX All-Share Index dataset.
Olamilekan Shobayo   +3 more
doaj   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

open access: yesAdvanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez   +8 more
wiley   +1 more source

From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming

open access: yesAdvanced Engineering Materials, EarlyView.
Herein, the wear and fatigue behavior of repaired bearing raceways with a new powder alloy is investigated using a FE8 test‐rig and an oscillating tribometer. The tests are compared with industrial manufactured bearings to evaluate the repair quality. The repair can extend the service life of the repaired bearing to that of a new bearing and improves ...
Felix Saure   +3 more
wiley   +1 more source

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

open access: yesScientific Reports
This paper provides an in-depth analysis and performance evaluation of four Solar Radiance (SR) prediction models. The prediction is ensured for a period ranging from a few hours to several days of the year.
Boumediene Ladjal   +7 more
doaj   +1 more source

PERFORMANCE ANALYSIS OF GRADIENT BOOSTING MODELS VARIANTS IN PREDICTING THE DIRECTION OF STOCK CLOSING PRICES ON THE INDONESIA STOCK EXCHANGE

open access: yesBarekeng
Accurately predicting stock market trends remains a significant challenge for investors due to its dynamic nature. This study explores the performance of Gradient Boosting models, including XGBoost, XGBoost Random Forest, CatBoost, and Gradient Boosting ...
Delvian Christoper Kho   +2 more
doaj   +1 more source

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