Anzar S. M.

According to our database, Anzar S. M. authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Transforming Healthcare: Raabin White Blood Cell Classification with Deep Vision Transformer.

Rufus Rubin, Anzar S. M., Alavikunhu Panthakkan, Wathiq Mansoor

Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Attentive Regularization in Targeted Kernel Networks for Accurate Diabetic Retinopathy Grading.

Mili Rosline Mathews, Anzar S. M., Alavikunhu Panthakkan

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.

R. P. Archana, Anzar S. M., N. P. Subheesh

Proceedings of the IEEE Global Engineering Education Conference, 2023

2022

A systematic comparison of transfer learning models for COVID-19 prediction.

Alavikunhu Panthakkan, Anzar S. M., Saeed Al-Mansoori, Wathiq Mansoor, Hussain Al-Ahmad

Intell. Decis. Technol., 2022

Concatenated Xception-ResNet50 - A novel hybrid approach for accurate skin cancer prediction.

Alavikunhu Panthakkan, Anzar S. M., Sangeetha Jamal, Wathiq Mansoor

Comput. Biol. Medicine, 2022

Hybrid Watermarking Algorithm to Protect and Authenticate KhalifaSat Imagery using DWT-SVD and SHA3 Hash Key.

Alavikunhu Panthakkan, Anzar S. M., Saeed Al-Mansoori, Hussain Al-Ahmad

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Mask R-CNN with Multi-Backbones - A Comparative Analysis.

Rufus Rubin, Chinnu Jacob, Anzar S. M., Alavikunhu Panthakkan

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

DeepSkinNet: A Deep Learning Model for Skin Cancer Detection.

A P. Abhiram, Anzar S. M., Alavikunhu Panthakkan

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.

Mili Rosline Mathews, Anzar S. M.

Int. J. Imaging Syst. Technol., 2021

A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients.

Alavikunhu Panthakkan, Anzar S. M., Saeed Al-Mansoori, Hussain Al-Ahmad

Biomed. Signal Process. Control., 2021

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

Anzar S. M., N. P. Subheesh, Alavikunhu Panthakkan, Shanid Malayil, Hussain Al-Ahmad

IEEE Access, 2021

2020

Accurate Prediction of COVID-19 (+) Using AI Deep VGG16 Model.

Alavikunhu Panthakkan, Anzar S. M., Saeed Al-Mansoori, Hussain Al-Ahmad

Proceedings of the 3rd International Conference on Signal Processing and Information Security, 2020

EfficientNet for retinal blood vessel segmentation.

Mili Rosline Mathews, Anzar S. M., R. Kalesh Krishnan, Alavikunhu Panthakkan

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.

P. Naseeda, Anzar S. M.

Proceedings of the TENCON 2019, 2019

2017

Robust partial fingerprint recognition using wavelet SIFT descriptors.

Ashok Aravindan, Anzar S. M.

Pattern Anal. Appl., 2017

2016

Efficient online and offline template update mechanisms for speaker recognition.

Anzar S. M., Amala K., Remya Rajendran, Ashwin Mohan, Ajeesh P. S., Mohammed Sabeeh K., Febin Aziz

Comput. Electr. Eng., 2016