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12/19/2022
Anticancer Peptides Classification using Kernel Sparse Representation Classifier
Cancer is one of the most challenging diseases because of its complexity...
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10/15/2021
Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks
Network traffic matrix estimation is an ill-posed linear inverse problem...
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10/11/2021
Performance Analysis of Fractional Learning Algorithms
Fractional learning algorithms are trending in signal processing and ada...
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10/09/2021
A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS)
In this research, a novel adaptive filtering algorithm is proposed for c...
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06/02/2021
q-RBFNN:A Quantum Calculus-based RBF Neural Network
In this research a novel stochastic gradient descent based learning appr...
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07/06/2020
Multi-Kernel Fusion for RBF Neural Networks
A simple yet effective architectural design of radial basis function neu...
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11/21/2019
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Heart is one of the vital organs of human body. A minor dysfunction of h...
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08/04/2019
Spatio-Temporal RBF Neural Networks
Herein, we propose a spatio-temporal extension of RBFNN for nonlinear sy...
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05/09/2019
A Novel Adaptive Kernel for the RBF Neural Networks
In this paper, we propose a novel adaptive kernel for the radial basis f...
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12/04/2018
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm
Channel estimation is an essential part of modern communication systems ...
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09/25/2018
RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions
In extreme cold weather, living organisms produce Antifreeze Proteins (A...
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05/19/2018
Comments on "Momentum fractional LMS for power signal parameter estimation"
The purpose of this paper is to indicate that the recently proposed Mome...
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11/14/2017