Shamama Anwar

Orcid: 0000-0002-2013-7181

According to our database1, Shamama Anwar authored at least 14 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Leveraging generative adversarial networks for enhanced cryptographic key generation.
Concurr. Comput. Pract. Exp., October, 2024

2023
Visually evoked brain signals guided image regeneration using GAN variants.
Multim. Tools Appl., September, 2023

DeepCOVNet Model for COVID-19 Detection Using Chest X-Ray Images.
Wirel. Pers. Commun., May, 2023

A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification.
Wirel. Pers. Commun., February, 2023

2022
Automated visual stimuli evoked multi-channel EEG signal classification using EEGCapsNet.
Pattern Recognit. Lett., 2022

Time series-dependent feature of EEG signals for improved visually evoked emotion classification using EmotionCapsNet.
Neural Comput. Appl., 2022

Crytographical primitive for blockchain: a secure random DNA encoded key generation technique.
Multim. Tools Appl., 2022

2020
A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.
Medical Biol. Eng. Comput., 2020

2019
A pixel permutation based image encryption technique using chaotic map.
Multim. Tools Appl., 2019

Correlating Thermal Anomaly with Earthquake Occurrences Using Remote Sensing.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

2016
Action Classification Based on Mutual Difference Score.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

2014
A Neural Network approach to edge detection using Adaptive Neuro-Fuzzy Inference System.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

2008
Influence of temperature on Swarmbots that Learn.
Cybern. Syst., 2008

Actor Critic Learning: A Near Set Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2008


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