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Dr Saidalavi Kalady

vidwan id: 53767
Male

Assistant Professor, Department of Computer Science and Engineering
National Institute of Technology Calicut

Expertise

  • Computer Science Information Systems

Publications

Total Articles 26
Books 0
Proceedings 0

Publications

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Scopus

Citations 162
h-index 9

CrossRef

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Citations 94
h-index 6
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Bio

Computational Intelligence, Data Mining, Operating Systems.

Personal Details

  • Male
  • Assistant Professor , National Institute of Technology Calicut
  • Department of Computer Science and Engineering, National Institute of Technology Calicut
ME
Indian Institute of Science Bangalore 2002
Assistant Professor Jan 2005 – Present
National Institute of Technology Calicut | Department of Computer Science and Engineering

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Co-Authors (6)

Athul

Dr Athul Joseph

Alliance University, Bangalore

A

Dr A Lijiya

National Institute of Technology Calicut

Lijo

Mr Lijo V P

Vellore Institute of Technology, Vellore

Madhu S

Dr Madhu S Nair

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Dr Pournami P N

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Scholarly Work

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Scholarly Publications

Visual question answering on blood smear images using convolutional block attention module powered object detection

Open Access
Article

Automated Deep Learning Technique for Accurate Detection of Regional Wall Motion Abnormality in Echocardiographic Videos

Open Access
Conference Paper
Authors: Beevi A.S.;Hashim K.M.;Maliyekkal A.;Hamraz K.V.;Kalady S.;Chackola J.J.

Overcoming the Limitations of Learning-Based VQA for Counting Questions with Zero-Shot Learning

Open Access
Article

SpecMap: An efficient spectral partitioning based static application mapping algorithm for 2D mesh NoCs

Open Access
Article
Authors: Raj R.S.R.;Joseph A.;Akhil Sarwar T. H.;Kalady S.;Jayaraj P. B.

Left Ventricle Segmentation of 2D Echocardiography Using Deep Learning

Open Access
Conference Paper

Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques

Open Access
Article
Authors: Beevi A.S.;Ratheesha S.;Kalady S.;Chackola J.J.

Classical machine learning Vs CNN in detecting floating vessels from remotely sensed images - A comparative study

Open Access
Conference Paper

Feature Extraction Based on ORB- AKAZE for Echocardiogram View Classification

Open Access
Article