ANZAR S M

About

ANZAR S. M. (Senior Member, IEEE) received the B.Tech. degree in electronics and instrumentation engineering from CUSAT, Kochi, in 2003, the M.E. degree in applied electronics from Anna University, Chennai, in 2008, and the Ph.D. degree from the National Institute of Technology Calicut, India, in 2014. He is currently a Faculty Member with the Electronics and Communication Engineering Department, TKM College of Engineering, Kollam, India. His research interests include (medical) signal and image processing, pattern recognition, biometrics, artificial intelligence, and engineering education. He is a member of the IEEE Signal Processing Society and the Indian Society for Technical Education (ISTE).

Employment

• Thangal Kunju Musaliar College of Engineering Assistant Professor
  2018 - Present
• MES College of Engineering Associate Professor
  2004 - 2018

Education

• National Institute of Technology Calicut Ph.D.
  2009 - 2013
• Cochin University of Science and Technology B.Tech.
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Design and Development of the Graphology-based Career Analysis and Prediction System (G-CAPS) for Engineering Students
  IEEE Global Engineering Education Conference, EDUCON 2023 DOI: 10.1109/EDUCON54358.2023.10125277
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• Concatenated Xception-ResNet50 — A novel hybrid approach for accurate skin cancer prediction
  Computers in Biology and Medicine 2022 DOI: 10.1016/j.compbiomed.2022.106170
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• Machine learning based system identification of a realistic heat integrated distillation column using particle swarm optimization
  Chemical Engineering Communications 2022 DOI: 10.1080/00986445.2022.2135504
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• System identification and control of heat integrated distillation column using artificial bee colony based support vector regression
  Chemical Engineering Communications 2022 DOI: 10.1080/00986445.2021.1974409
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• A systematic comparison of transfer learning models for COVID-19 prediction
  Intelligent Decision Technologies 2022 DOI: 10.3233/idt-220017
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• A lightweight deep learning model for retinal optical coherence tomography image classification
  International Journal of Imaging Systems and Technology 2022 DOI: 10.1002/ima.22808
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• Residual Networks and Deep-Densely Connected Networks for the Classification of retinal OCT Images
  2022 International Conference on Connected Systems & Intelligence (CSI) 2022 DOI: 10.1109/csi54720.2022.9923993
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• DeepSkinNet: A Deep Learning Model for Skin Cancer Detection
  2022 5th International Conference on Signal Processing and Information Security, ICSPIS 2022 2022 DOI: 10.1109/ICSPIS57063.2022.10002541
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• Hybrid Watermarking Algorithm to Protect and Authenticate KhalifaSat Imagery using DWT-SVD and SHA3 Hash Key
  5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022 2022 DOI: 10.1109/IPAS55744.2022.10052903
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• Mask R-CNN with Multi-Backbones - A Comparative Analysis
  2022 5th International Conference on Signal Processing and Information Security, ICSPIS 2022 2022 DOI: 10.1109/ICSPIS57063.2022.10002546
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