Model Selection for High Dimensional Nonparametric Additive Models via Ridge Estimation by Haofeng Wang, Hongxia Jin, Xuejun Jiang, Jingzhi Li

“…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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NUMERICAL INVESTIGATION OF INSTABILITY OF AN ANNULAR ROTATING CAVITY by EWA TULISZKA-SZNITKO, ARTUR ZIELIŃSKI, JAROSŁAW POLUS

“…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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A COMPARISON STUDY FOR INTRUSION DATABASE (KDD99, NSL-KDD) BASED ON SELF ORGANIZATION MAP (SOM) ARTIFICIAL NEURAL NETWORK by LAHEEB M. IBRAHIM, DUJAN T. BASHEER, MAHMOD S. MAHMOD

“…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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The role of spatial resolution in global electricity systems modelling by Maarten Brinkerink, Erin Mayfield, Paul Deane

“…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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Study on Fault Diagnosis Method of Bearing based on Shuffled Frog Leaping Algorithm to Optimize the BP Neural Network by Wang Yu, Wei Xiuye

“…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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Sensor Selection in High-Dimensional Gaussian Trees with Nuisances by Levine, Daniel, How, Jonathan P.

“…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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Energy management in plug-in hybrid electric vehicles: Convex optimization algorithms for model predictive control by East, S, Cannon, M

“…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. …”

Computational complexity for the two-point block method by Phang, Pei See, Abdul Majid, Zanariah

“…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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Investigation of Reliabilities of Bolt Distances for Bolted Structural Steel Connections by Monte Carlo Simulation Method by Ertekin Öztekin Öztekin

“…Monte Carlo Simulation (MCS) method was used in the reliability computations performed for all combination of those parameters. …”
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A semi-analytic method for solving singularly perturbed twin-layer problems with a turning point by Süleyman Cengizci, Devendra Kumar, Mehmet Tarık Atay

“…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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Localization technique of IoT Nodes Using Artificial Neural Networks (ANN) by Beata Krupanek, Ryszard Bogacz

“…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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Investigation of Reliabilities of Bolt Distances for Bolted Structural Steel Connections by Monte Carlo Simulation Method by Ertekin Öztekin Öztekin

“…Monte Carlo Simulation (MCS) method was used in the reliability computations performed for all combination of those parameters. …”
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A numerical simulation of the fractional order Leptospirosis model using the supervise neural network by Kanit Mukdasai, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, R. Sadat, Mohamed R. Ali, Peerapongpat Singkibud

“…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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Design and Multiplierless Implementations of ECG-Based 1st Order Gaussian Derivative Wavelet Filter with Lattice Structures by Abdulhamed M. Jasim, Jassim M. Abdul-Jabbar

“…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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Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems by Juan C. Arellano-González, Hugo I. Medellín-Castillo, Raúl I. Hernández-Molinar, Héctor Plascencia-Mora, Alejandro González-de Alba

“…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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Large scale log anomaly detection via spatial pooling by Rin Hirakawa, Hironori Uchida, Asato Nakano, Keitaro Tominaga, Yoshihisa Nakatoh

“…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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Are the Romanian natural protected areas properly covering the wetland? by PETRIŞOR Alexandru-Ionuţ, PETRIŞOR Liliana Elza

“…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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A new family of hybrid three-term conjugate gradient method for unconstrained optimization with application to image restoration and portfolio selection by Maulana Malik, Ibrahim Mohammed Sulaiman, Auwal Bala Abubakar, Gianinna Ardaneswari, Sukono

“…Until now, many CG methods have been developed to improve computational performance and have been applied to real-world problems. …”
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Response-dependent dynamics of cell-specific inhibition in cortical networks in vivo by El-Boustani, Sami, Sur, Mriganka

“…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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Coherent Coupled Qubits for Quantum Annealing by Weber, Steven J., Samach, Gabriel O., Hover, David J., Gustavsson, Simon, Kim, David K., Melville, Alexander J., Rosenberg, Danna, Sears, Adam P., Yan, Fei, Yoder, Jonilyn Longenecker, Oliver, William D, Kerman, Andrew J

“…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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