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Dr Manasi Gyanchandani

vidwan id: 61718
Female

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

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 48
Books 0
Proceedings 0

Publications

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Scopus

Citations 851
h-index 11

CrossRef

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Citations 39
h-index 2
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Professional Recognition

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Bio

Systems, Intrusion Detection, Big Data, Information Retrieval.

Personal Details

  • Female
  • Assistant Professor , Maulana Azad National Institute of Technology
  • Maulana Azad National Institute of Technology, Bhopal
Ph.D
Maulana Azad National Institute of Technology 2013
Assistant Professor Jul 2005 – Present
Maulana Azad National Institute of Technology | Department of Computer Science and Engineering

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Co-Authors (6)

Banalaxmi

Dr Banalaxmi Brahma

Dr B R Ambedkar National Institute of Technology, Jalandhar

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Dr Aditya Dubey

Madhav Institute of Technology & Science, Gwalior

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Scholarly Work

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Scholarly Publications

Survey of Deep Learning Methods in Image Recognition and Analysis of Intrauterine Residues

Open Access
Book Chapter
Authors: Swarnkar B.;Khare N.;Gyanchandani M.

Selective Review on Adaptive Normalization Techniques

Open Access
Conference Paper
Authors: Panday V.;Wadhvani R.;Gyanchandani M.

Breast cancer histopathology image classification using kernelized weighted extreme learning machine

Open Access
Article

Analysis of Genetic Algorithm, Particle Swarm Optimization and Simulated Annealing on Benchmark Functions

Open Access
Conference Paper
Authors: Joshi M.;Gyanchandani M.;Rajesh Wadhvani D.

Machine Learning Classifiers based on Predicting Membrane Protein using Decision Tree and Random Forest

Open Access
Conference Paper

Pseudo amino acid feature-based protein function prediction using support vector machine and K-nearest neighbors

Open Access
Article

Machine Learning Methods for Computer-Aided Breast Cancer Diagnosis Using Histopathology: A Narrative Review

Open Access
Review

Neural network based non-invasive method to detect anemia from images of eye conjunctiva

Open Access
Article