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3601
Deep learning for object recognition: A comprehensive review of models and algorithms
Published 2025-12-01“…Despite these developments, object recognition remains a complex domain with persistent challenges and limitations. …”
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3602
Assessment of Turbulence Models for Flow Simulation around a Wind Turbine Airfoil
Published 2011-01-01“…The study was undertaken by conducting simulations with the one-equation Spalart-Allmaras (SA) model, the two-equation RNG k-ϵ and SST k-ω models, and the Reynolds stress model (RSM). Domain discretization was carried out using general quadrilateral grids generated with GAMBIT, the FLUENT preprocessing tool. …”
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3603
Multiframe maximum a posteriori estimators for single‐microphone speech enhancement
Published 2021-09-01“…Several attempts have been made to exploit the interframe correlation (IFC) between speech coefficients in the short‐time Fourier transform domain. In a noise‐reduction algorithm, all available information of recorded signals should be optimally utilized in the estimation process. …”
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3604
Integral Representation of Functions of Bounded Variation
Published 2019-01-01“…Both representations are obtained as parameter transformation images of an absolute continuous function on total variation domain [a,bν].…”
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3605
Numerical Simulations of the 1 May 2012 Deep Convection Event over Cuba: Sensitivity to Cumulus and Microphysical Schemes in a High-Resolution Model
Published 2015-01-01“…Results show that convective schemes are more important than microphysics schemes for determining the precipitation areas within a high-resolution domain simulation. Also, while one cumulus scheme captures the overall spatial convective structure of the event more accurately than others, it fails to capture the precipitation intensity. …”
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3606
Hemoglobin: A Nitric-Oxide Dioxygenase
Published 2012-01-01“…The mechanism of NOD catalysis by representative single domain hemoglobins and multidomain flavohemoglobin occurs through a multistep mechanism involving O2 migration to the heme pocket, O2 binding-reduction, NO migration, radical-radical coupling, O-atom rearrangement, nitrate release, and heme iron re-reduction. …”
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3607
A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method
Published 2017-01-01“…The main procedure is to extract the components with frequencies higher than a given bisecting frequency by three steps: (1) the generalized demodulation is used to project the components with lower frequencies onto negative frequency domain, (2) the Hilbert transform is performed to eliminate the negative frequency components, and (3) the inverse generalized demodulation is used to obtain the signal which contains components with higher frequencies only. …”
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3608
Dynamic Investigation in Green Supply Chain considering Channel Service
Published 2020-01-01“…The conclusions are as follows: the stable scope of the green supply chain system enlarges with decision makers’ risk-aversion level increasing and decreases with service value increasing; excessive adjustment of price parameters will make the green supply chain system fall into chaos with a large entropy value; the attraction domain of initial prices shrinks with price adjustment speed increasing and enlarges with the channel service values raising. …”
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3609
Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control
Published 2024-01-01“…In a zero-shot transfer setting involving both road networks and traffic settings never experienced during training, and in a larger transfer experiment involving the control of 3,971 traffic signal controllers in Manhattan, we show that MuJAM, using both cyclic and acyclic constraints, outperforms domain-specific baselines as well as a recent transferable approach.…”
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3610
One-Step Leapfrog LOD-BOR-FDTD Algorithm with CPML Implementation
Published 2016-01-01“…An unconditionally stable one-step leapfrog locally one-dimensional finite-difference time-domain (LOD-FDTD) algorithm towards body of revolution (BOR) is presented. …”
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3611
Chaos Prediction in Fractional Delayed Energy-Based Models of Capital Accumulation
Published 2021-01-01“…In accordance with the literatures related to the problem of chaos, the concluded results confirm the proposed theorem by El-Borhamy in which the time delay possesses the ability to change the dynamic state of nonlinear systems from regular to chaotic within the fractional order derivative domain.…”
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3612
Probability of Exceeding Damage States in Plates Using BEM
Published 2019-01-01“…An initial stress formulation is used to formulate the boundary integral equations. The domain integrals are evaluated using a cell discretization technique. …”
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3613
Analysis of External Water Pressure for a Tunnel in Fractured Rocks
Published 2017-01-01“…The equivalent continuous medium model and the discrete fracture network (DFN) model were, respectively, applied to calculate the seepage field of the study domain. Calculations were based on the integrity and permeability of rocks, the extent of fracture development, and the combination of geological and hydrogeological conditions in the Huizhou pump-storage hydropower station. …”
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3614
Rapid modeling of catastrophic floods: A case study of the Padang flood on July 14, 2023
Published 2025-01-01“…The modeling process involved DEM conditioning, bias correction of rainfall, defining the model domain using the Topographic Wetness Index (TWI), and applying hydrological and hydrodynamic models. …”
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3615
Holomorphic embedding method for large-scale reverse osmosis desalination optimization
Published 2025-01-01“…Without solving nonlinear differential equations at each discrete point by a traditional small-step iteration approach, the proposed method determines the solution through an approximation function or approximant within segmented computational domain independently. The results of solving more than 11 million of nonlinear differential equations with various design parameters for the reverse osmosis desalination process indicate that the fast and flexible holomorphic embedding-based method is six-fold faster than several typical solvers in computational efficiency with the same level of accuracy. …”
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3616
Theoretical Model Development for Energy Motion of Dusty Turbulent Flow of Fibre Suspensions in a Rotational Frame
Published 2022-01-01“…The newly derived equation was derived in second-order correlation tensors Fi,j, Wi,j, Gi,j, Si,j, Xi,j, Yi,j, Qi,j, and Ri,j at any two points in the flow domain, where the tensors were expressed as space, time, and distance functions. …”
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3617
An Efficient Laguerre-Based FDTD Iterative Algorithm in 3D Cylindrical Coordinate System
Published 2019-01-01“…Here an efficient Laguerre-based finite-difference time-domain iterative algorithm is proposed. Different from the previously developed iterative procedure used in the efficient FDTD algorithm, a new perturbation term combined with the Gauss–Seidel iterative procedure is introduced to form the new Laguerre-based FDTD algorithm in the 3D cylindrical coordinate system. …”
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3618
Impact of Radii Ratios on a Two-Dimensional Cloaking Structure and Corresponding Analysis for Practical Design at Optical Wavelengths
Published 2017-01-01“…This work is an extension to the evaluation and analysis of a two-dimensional cylindrical cloak in the Terahertz or visible range spectrum using Finite Difference Time-Domain (FDTD) method. It was concluded that it is possible to expand the frequency range of a cylindrical cloaking model by careful scaling of the inner and outer radius of the simulation geometry with respect to cell size and/or number of time steps in the simulation grid while maintaining appropriate stability conditions. …”
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3619
On the analysis of modes in a closed electromagnetic waveguide
Published 2024-05-01“…They can also be used to construct generalized Dirichlet-to-Neumann maps that provide artificial boundary conditions for truncating a computational domain when discretizing the field by finite elements. …”
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3620
A model for phenotype change in a stochastic framework
Published 2010-05-01“…The model is placed in thestochastic domain by assuming that the waiting time in thepopulation is a normally distributed random variable because ofbiological variance inherent in mounting the response. …”
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