Results 41 to 50 of about 837,134 (277)

A Hybrid Framework for Offshore Wind Power Forecasting: Integrating CNN-BiGRU-XGBoost with Advanced Feature Engineering and Analysis

Energies
This paper proposes a hybrid forecasting model for offshore wind power, combining CNN, BiGRU, and XGBoost to address the challenges of fluctuating wind speeds and complex meteorological conditions.
Yongguo Li, Jiayi Pan, Jiangdong Wang
doaj   +1 more source

An EMD–SARIMA-Based Modeling Approach for Air Traffic Forecasting

Algorithms, 2017
The ever-increasing air traffic demand in China has brought huge pressure on the planning and management of, and investment in, air terminals as well as airline companies.
Wei Nai, Lu Liu, Shaoyin Wang, Decun Dong   +3 more
doaj   +1 more source

Hybrid modeling of relativistic underdense plasma photocathode injectors [PDF]

, 2013
The dynamics of laser ionization-based electron injection in the recently introduced plasma photocathode concept is analyzed analytically and with particle-in-cell simulations.
A. I. Nikishov, A. M. Perelomov, A. M. Perelomov, A. M. Perelomov, B. Hidding, B. Hidding, D. Bruhwiler, G. Pretzler, J. B. Rosenzweig, J. B. Rosenzweig, M. V. Ammosov, Y. Xi   +11 more
core   +2 more sources

Modeling Stochastic Hybrid Systems [PDF]

, 2006
Stochastic hybrid systems arise in numerous applications of systems with multiple models; e.g., air traffc management, flexible manufacturing systems, fault tolerant control systems etc. In a typical hybrid system, the state space is hybrid in the sense that some components take values in a Euclidean space, while some other components are discrete.
Ghosh, Mrinal K., Bagchi, Arunabha
openaire   +2 more sources

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Hydraulic simulation method for refined oil pipelines based on error compensation and time-delay extraction

You-qi chuyun
ObjectiveThe flow and pressure in the refined oil pipeline undergo rapid changes during operating condition transitions. Accurate estimation of these changes is crucial for safe pipeline operation.
Haoyang SUN, Jian DU, Zixing FAN, Qi LIAO, Yu HE, Runbin XUE, Yongtu LIANG   +6 more
doaj   +1 more source

Hybrid Automation Extended Model

Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics, 2019
Summary: An extended model of hybrid automata for dynamic systems is considered, where, along with a discrete control subsystem and control objects with lumped parameters, there are control objects with distributed parameters (linear and stationary from the point of view of automatic control theory).
Andreĭchenko, Dmitriĭ Konstantinovich, Andreĭchenko, Konstantin Petrovich, Batraeva, Inna Aleksandrovna   +2 more
openaire   +2 more sources

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Hybrid Stochastic–Machine Learning Framework for Postprandial Glucose Prediction in Type 1 Diabetes

Algorithms
This research introduces a hybrid framework that integrates stochastic modeling and machine learning for predicting postprandial glucose levels in individuals with Type 1 Diabetes (T1D).
Irina Naskinova, Mikhail Kolev, Dilyana Karova, Mariyan Milev   +3 more
doaj   +1 more source

Incorporating Unmodeled Dynamics Into First-Principles Models Through Machine Learning

IEEE Access, 2021
First-principles modeling of dynamical systems is a cornerstone of science and engineering and has enabled rapid development and improvement of key technologies such as chemical reactors, electrical circuits, and communication networks.
Ward Quaghebeur, Ingmar Nopens, Bernard De Baets   +2 more
doaj   +1 more source