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201
Model Selection for High Dimensional Nonparametric Additive Models via Ridge Estimation
Published 2022-12-01“…In ultrahigh dimensional data analysis, to keep computational performance well and good statistical properties still working, nonparametric additive models face increasing challenges. …”
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202
NUMERICAL INVESTIGATION OF INSTABILITY OF AN ANNULAR ROTATING CAVITY
Published 2005-01-01“…The numerical computations, performed for an annular cavity of the aspect ratio L= 2 and 5 and for the curvature parameters Rm = (R1+R0)/(R1−R0) = 5, exhibit instability structures in the form of circular rolls. …”
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203
A COMPARISON STUDY FOR INTRUSION DATABASE (KDD99, NSL-KDD) BASED ON SELF ORGANIZATION MAP (SOM) ARTIFICIAL NEURAL NETWORK
Published 2013-02-01“…The advances in the area of computing performance, in terms of processing power and storage, have fostered their ability to host resource-intensive intelligent algorithms, to detect intrusive activity, in a timely manner. …”
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204
The role of spatial resolution in global electricity systems modelling
Published 2024-05-01“…Furthermore, challenges with respect to spatial aggregation arise with respect to data accessibility and spatial aggregation methods, and there are trade-offs between increasing spatial resolution and computational performance. A question-based framework is provided that can assist modellers in selecting the appropriate spatial extent and resolution.…”
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205
Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network
Published 2017-01-01“…Based on the background of rolling bearing fault diagnosis,taking the JZQ250 type transfer-box as test object,the shuffled frog leaping algorithm( SFLA) is combined with back propagation( BP) neural network,by using the efficient computing performance and the excellent ability of global optimization of shuffled frog leaping algorithm,the network structure of BP neural network is optimized. …”
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206
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances
Published 2015“…We additionally derive an online-computable performance bound based on augmentations of the relevant latent variable set that, when such a valid augmentation exists, is applicable for \emph{any} distribution with nuisances.…”
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207
Energy management in plug-in hybrid electric vehicles: Convex optimization algorithms for model predictive control
Published 2019“…This article details an investigation into the computational performance of algorithms used for solving a convex formulation of the optimization problem associated with model predictive control for energy management in hybrid electric vehicles with nonlinear losses. …”
Journal article -
208
Computational complexity for the two-point block method
Published 2014“…We conclude that the two-point block method has better computational performance compare to the one-point method as the total number of steps is larger.…”
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Conference or Workshop Item -
209
Investigation of Reliabilities of Bolt Distances for Bolted Structural Steel Connections by Monte Carlo Simulation Method
Published 2015-12-01“…Monte Carlo Simulation (MCS) method was used in the reliability computations performed for all combination of those parameters. …”
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210
A semi-analytic method for solving singularly perturbed twin-layer problems with a turning point
Published 2023-01-01“…Two numerical experiments are provided to demonstrate the method’s implementation and to evaluate its computational performance. Several comparisons with the numerical results existing in the literature are also made. …”
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211
Localization technique of IoT Nodes Using Artificial Neural Networks (ANN)
Published 2020-12-01“…The result of the work is a system and algorithm that allows determining the location of the object without processing data separately in nodes with low computational performance.…”
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212
Investigation of Reliabilities of Bolt Distances for Bolted Structural Steel Connections by Monte Carlo Simulation Method
Published 2016-01-01“…Monte Carlo Simulation (MCS) method was used in the reliability computations performed for all combination of those parameters. …”
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213
A numerical simulation of the fractional order Leptospirosis model using the supervise neural network
Published 2022-12-01“…The numerical formulations of the FOLM are obtained through the supervised neural networks (SNNs) along with the computational performances of the Levenberg-Marquardt backpropagation (LVMBP), i.e., SNNs-LVMBP. …”
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214
Design and Multiplierless Implementations of ECG-Based 1st Order Gaussian Derivative Wavelet Filter with Lattice Structures
Published 2012-12-01“…The resulting lattice structures reduce the number of filter banks coefficients and this reduces, in turn the number of multiplications and improves the filter banks efficiencies as it reduces the number of computations performed. The resulting quantized multiplier values can also lead to multiplierless realizations using sum-of-power-of-two (SOPOT) method. …”
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215
Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems
Published 2023-03-01“…The aim is to evaluate the performance of the MVSs and identify the most appropriate vision approach, in terms of accuracy, cost, speed, and computing performance. For this purpose, five BSs of the lower limb were selected and measured using both the MVS and the conventional manual anthropometric measurement (MAM) techniques. …”
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216
Large scale log anomaly detection via spatial pooling
Published 2021-01-01“…While log-based anomaly detection methods based on deep learning have enabled highly accurate detection, the computational performance required to operate the models has become very high. …”
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217
Are the Romanian natural protected areas properly covering the wetland?
Published 2020-08-01“…The methodology consisted of computations performed using the GIS. The results indicate a very good conservation of wetlands (90% of their area). …”
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218
A new family of hybrid three-term conjugate gradient method for unconstrained optimization with application to image restoration and portfolio selection
Published 2023-01-01“…Until now, many CG methods have been developed to improve computational performance and have been applied to real-world problems. …”
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219
Response-dependent dynamics of cell-specific inhibition in cortical networks in vivo
Published 2016“…In the visual cortex, inhibitory neurons alter the computations performed by target cells via combination of two fundamental operations, division and subtraction. …”
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220
Coherent Coupled Qubits for Quantum Annealing
Published 2017“…Quantum annealing is an optimization technique which potentially leverages quantum tunneling to enhance computational performance. Existing quantum annealers use superconducting flux qubits with short coherence times limited primarily by the use of large persistent currents I[subscript p]. …”
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