Anzar S. M.

Orcid: 0000-0002-6202-699X

According to our database1, Anzar S. M. authored at least 18 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
A new frontier in hematology: Robust deep learning ensembles for white blood cell classification.
Biomed. Signal Process. Control., 2025

2024
The robust SmartEnsembleNet: A game changer in finger knuckle biometrics.
Expert Syst. Appl., 2024

2023
Transforming Healthcare: Raabin White Blood Cell Classification with Deep Vision Transformer.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Attentive Regularization in Targeted Kernel Networks for Accurate Diabetic Retinopathy Grading.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Design and Development of the Graphology-based Career Analysis and Prediction System (G-CAPS) for Engineering Students.
Proceedings of the IEEE Global Engineering Education Conference, 2023

2022
A systematic comparison of transfer learning models for COVID-19 prediction.
Intell. Decis. Technol., 2022

Concatenated Xception-ResNet50 - A novel hybrid approach for accurate skin cancer prediction.
Comput. Biol. Medicine, 2022

Hybrid Watermarking Algorithm to Protect and Authenticate KhalifaSat Imagery using DWT-SVD and SHA3 Hash Key.
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Mask R-CNN with Multi-Backbones - A Comparative Analysis.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

DeepSkinNet: A Deep Learning Model for Skin Cancer Detection.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

2021
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema.
Int. J. Imaging Syst. Technol., 2021

A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients.
Biomed. Signal Process. Control., 2021

Random Interval Attendance Management System (RIAMS): A Novel Multimodal Approach for Post-COVID Virtual Learning.
IEEE Access, 2021

2020
Accurate Prediction of COVID-19 (+) Using AI Deep VGG16 Model.
Proceedings of the 3rd International Conference on Signal Processing and Information Security, 2020

EfficientNet for retinal blood vessel segmentation.
Proceedings of the 3rd International Conference on Signal Processing and Information Security, 2020

2019
Combining features and ancillary measures for exploring hereditary trends in fingerprints.
Proceedings of the TENCON 2019, 2019

2017
Robust partial fingerprint recognition using wavelet SIFT descriptors.
Pattern Anal. Appl., 2017

2016
Efficient online and offline template update mechanisms for speaker recognition.
Comput. Electr. Eng., 2016


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