Abdul Wahab

Orcid: 0000-0002-9179-7427

Affiliations:
  • Nazarbayev University, Nur-Sultan, Kazakhstan
  • South Korea University of Education, Korea Advanced Institute of Science and Technology, KAIST, Attock, Pakistan (former)
  • National University of Sciences and Technology, Department of Mathematics, School of Natural Sciences, Islamabad, Pakistan (former)


According to our database1, Abdul Wahab authored at least 21 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
GMDM: A generalized multi-dimensional distribution overlap metric for data and model quality evaluation.
Digit. Signal Process., April, 2023

Multipolar Acoustic Source Reconstruction From Sparse Far-Field Data Using ALOHA.
IEEE Signal Process. Lett., 2023

Multipolar Acoustic Source Reconstruction from Sparse Far-Field Data using ALOHA.
CoRR, 2023

Anticancer Peptides Classification Using Kernel Sparse Representation Classifier.
IEEE Access, 2023

2022
Performance Analysis of Fractional Learning Algorithms.
IEEE Trans. Signal Process., 2022

Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy.
Sensors, 2022

AFP-SRC: identification of antifreeze proteins using sparse representation classifier.
Neural Comput. Appl., 2022

2021
Analysis of traveling waveform of flexible waveguides containing absorbent material along flanged junctions.
Commun. Nonlinear Sci. Numer. Simul., 2021

2020
Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach".
IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Learning Diffuse Optical Tomography.
IEEE Trans. Medical Imaging, 2020

Comments on "Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model".
CoRR, 2020

Comments on "Generalization of the gradient method with fractional order gradient direction".
CoRR, 2020

E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding.
CoRR, 2020

Comments on "A new computing approach for power signal modeling using fractional adaptive algorithms".
CoRR, 2020

2018
A Mathematical Framework for Deep Learning in Elastic Source Imaging.
SIAM J. Appl. Math., 2018

Image de-noising with subband replacement and fusion process using bayes estimators, .
Comput. Electr. Eng., 2018

2017
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media.
SIAM J. Imaging Sci., 2017

Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography.
CoRR, 2017

2015
Stability and Resolution Analysis of Topological Derivative Based Localization of Small Electromagnetic Inclusions.
SIAM J. Imaging Sci., 2015

2013
Localization, Stability, and Resolution of Topological Derivative Based Imaging Functionals in Elasticity.
SIAM J. Imaging Sci., 2013

2012
Noise Source Localization in an Attenuating Medium.
SIAM J. Appl. Math., 2012


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