Výsledky vyhľadávania - "Kernel functions"

Adaptation of kernel functions‐based approach with Atangana–Baleanu–Caputo distributed order derivative for solutions of fuzzy fractional Volterra and Fredholm integrodifferential equations Autor Abu Arqub, Omar, Singh, Jagdev, Alhodaly, Mohammed

“…) fractional distributed order derivatives. The solution‐based approach lies in generating infinite orthogonal basis from kernel functions, where an uncertain condition is fulfilled…”
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Design of a support vector machine with different kernel functions to predict scour depth around bridge piers Autor Sharafi, Hassan, Ebtehaj, Isa, Bonakdari, Hossein, Zaji, Amir Hossein

“… The SVM technique is developed using six kernel functions, including polynomial, sigmoid, exponential, Gaussian, Laplacian and rational quadratic…”
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A study on multivariate interpolation by increasingly flat kernel functions Autor Lee, Yeon Ju, Micchelli, Charles A., Yoon, Jungho

“…In this paper, we improve upon some observations made in recent papers on the subject of increasingly flat interpolation…”
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Nonlocal thermoelastic waves inside nanobeam resonator subject to various loadings Autor Tiwari, Rakhi, Saeed, Abdulkafi Mohammed, Abouelregal, Ahmed, Singhal, Abhinav, Salem, Mohamed G.

“…The present article focuses on the new meticulous model based on the postulate of memory-dependent derivatives to analyze the thermo-mechanical interactions…”
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Quasi-P wave through orthotropic piezo-thermoelastic materials subject to higher order fractional and memory-dependent derivatives Autor Gupta, Vipin, Barak, M. S.

“… Four different types of coupled reflected plane waves are identified and explore the impact of various parameters, fractional order parameter, kernel function, the higher-order time differential…”
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Distributed entropy filtering subject to DoS attacks in non‐Gauss environments Autor Song, Haifang, Ding, Derui, Dong, Hongli, Wei, Guoliang, Han, Qing‐Long

“…‐varying systems subject to non‐Gaussian noises and denial‐of‐service attacks. A distributed Kalman…”
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Predicting Subject Traits From Brain Spectral Signatures: An Application to Brain Ageing Autor Jarne, Cecilia, Griffin, Ben, Vidaurre, Diego

“…ABSTRACT The prediction of subject traits using brain data is an important goal in neuroscience, with relevant applications in clinical research, as well as in the study of differential psychology and cognition…”
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Functionally Graded Piezoelectric Medium Exposed to a Movable Heat Flow Based on a Heat Equation with a Memory-Dependent Derivative Autor Abouelregal, Ahmed E., Ahmad, Hijaz, Yao, Shao-Wen

“… The FGPM rod is subject to a moving heat source along the axial direction and is fixed to zero voltage at both ends…”
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Photo-thermo-piezo-elastic waves in semiconductor medium subject to distinct two temperature models with higher order memory dependencies Autor Gupta, Vipin, Barak, M.S.

“… The field equations have been devised to encompass higher order parameters, temporal delays and a specifically tailored kernel function to address the problem…”
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Covariant quantum kernels for data with group structure Autor Glick, Jennifer R., Gujarati, Tanvi P., Córcoles, Antonio D., Kim, Youngseok, Kandala, Abhinav, Gambetta, Jay M., Temme, Kristan

“…The use of kernel functions is a common technique to extract important features from datasets…”
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Probabilistic reconstruction for spatiotemporal sensor data integrated with Gaussian process regression Autor Ma, Yafei, He, Yu, Wang, Lei, Zhang, Jianren

“…The effective health management of sensor networks is very important for the reliability assessment of engineering structures. Sensor failure and data missing…”
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Kernel Functional Maps Autor Wang, L., Gehre, A., Bronstein, M. M., Solomon, J.

“…Functional maps provide a means of extracting correspondences between surfaces using linear‐algebraic machinery. While the functional framework suggests…”
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Major advancements in kernel function approximation Autor Francis, Deena P., Raimond, Kumudha

“… They rely on the computation of kernel functions, which implicitly transform the data in its input space to data in a very high dimensional space…”
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In silico prediction of Severe Acute Respiratory Syndrome Coronavirus 2 main protease cleavage sites Autor Yang, Zheng Rong

“… The article has shown that the pattern recognition approaches incorporating a specially tailored kernel function for dealing with amino acids has the outstanding performance in the accuracy of cleavage site prediction and the discovery of the prototype cleavage peptides…”
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Machine Learning role in clinical decision-making: Neuro-rehabilitation video game Autor Esfahlani, Shabnam Sadeghi, Shirvani, Hassan, Butt, Javaid, Mirzaee, Iraj, Esfahlani, Karim Sadeghi

“… (multi-variable Kernel functions) since both algorithms were considered significant and active analysis agents for prediction and classification…”
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sEMG-Based Lower Limb Motion Prediction Using CNN-LSTM with Improved PCA Optimization Algorithm Autor Zhu, Meng, Guan, Xiaorong, Li, Zhong, He, Long, Wang, Zheng, Cai, Keshu

“… This investigation involved ten subjects (five males and five females) with normal knee joints. The relevant…”
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Delay-Compensated Distributed PDE Control of Traffic With Connected/Automated Vehicles Autor Qi, Jie, Mo, Shurong, Krstic, Miroslav

“… For the linearized system, a novel three-branch bakcstepping transformation with explicit kernel functions is introduced to compensate the input delay…”
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Time-varying coefficient model estimation through radial basis functions Autor Sosa, Juan, Buitrago, Lina

“…In this paper, we estimate the dynamic parameters of a time-varying coefficient model through radial kernel functions in the context of a longitudinal study…”
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Numerical solutions for the Robin time-fractional partial differential equations of heat and fluid flows based on the reproducing kernel algorithm Autor Abu Arqub, Omar

“…, t) reproducing kernel functions. Findings Numerical simulation with different order derivatives degree is done including linear and nonlinear terms that are acquired…”
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Stabilization of the Viscoelastic Wave Equation with Variable Coefficients and a Delay Term in Nonlocal Boundary Feedback Autor Li, Sheng-Jie, Chai, Shugen

“… By introducing an equivalent energy functional and using the Riemannian geometry method, we show the general decay rate of energy when kernel function satisfies some sufficient small conditions…”
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