Results 31 to 40 of about 2,216,664 (298)

Modeling Stochastic Hybrid Systems [PDF]

open access: yes, 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

Hybrid meson masses and the correlated Gaussian basis [PDF]

open access: yes, 2009
We revisited a model for charmonium hybrid meson with a magnetic gluon [Yu. S. Kalashnikova and A. V. Nefediev, Phys. Rev. D {\bf 77}, 054025 (2008)] and improved the numerical calculations. These improvements support the hybrid meson interpretation of X(
B. Silvestre-Brac   +2 more
core   +2 more sources

A Synergistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learning to Estimate Wheat Crop Traits in Pakistan

open access: yesRemote Sensing
The integration of the Crop Growth Model (CGM), Radiative Transfer Model (RTM), and Machine Learning Algorithm (MLA) for estimating crop traits represents a cutting-edge area of research.
Rana Ahmad Faraz Ishaq   +7 more
doaj   +1 more source

A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron

open access: yesEnergies, 2021
Load forecasting is an essential task in the operation management of a power system. Electric power companies utilize short-term load forecasting (STLF) technology to make reasonable power generation plans.
Yuhong Xie   +2 more
doaj   +1 more source

Decay widths in the massive Schwinger model [PDF]

open access: yes, 1996
By a closer inspection of the massive Schwinger model within mass perturbation theory we find that, in addition to the $n$-boson bound states, a further type of hybrid bound states has to be included into the model.
Abdalla   +14 more
core   +3 more sources

Model Surshing: Model Hybrid antara Model Produksi Surplus dan Model Cushing dalam Pendugaan Stok Ikan (Studi Kasus: Perikanan Lemuru di Selat Bali) [PDF]

open access: yes, 2004
Kajian terhadap pendugaan stok ikan, khususnya perikanan lemuru di Selat Bali, telah banyak dilakukan oleh para peneliti melalui penggunaan model poduksi surplus. Dalam penelitian ini dilakukan penggabungan antara model produksi surplus dan model Cushing
Boer, M. (Mennofatria)   +4 more
core  

Cooling of Hybrid Stars with Spin Down Compression

open access: yes, 2009
We study the cooling of hybrid stars coupling with spin-down. Due to the spin-down of hybrid stars, the interior density continuously increases, different neutrino reactions may be triggered(from the modified Urca process to the quark and nucleon direct ...
Chubarian   +10 more
core   +1 more source

A hybrid model for mapping simplified seismic response via a GIS-metamodel approach [PDF]

open access: yes, 2014
In earthquake-prone areas, site seismic response due to lithostratigraphic sequence plays a key role in seismic hazard assessment. A hybrid model, consisting of GIS and metamodel (model of model) procedures, was introduced aimed at estimating the 1-D ...
Bonito, L.   +4 more
core   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

A Hybrid Deep Learning Approach for Secure Biometric Authentication Using Fingerprint Data

open access: yesComputers
Despite significant advancements in fingerprint-based authentication, existing models still suffer from challenges such as high false acceptance and rejection rates, computational inefficiency, and vulnerability to spoofing attacks.
Abdulrahman Hussian   +3 more
doaj   +1 more source

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