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Dr Smita Sandeep Darandale

vidwan id: 311370
Female

Associate Professor, Department of Computer Science Engineering
Gandhi Institute of Technology and Management

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 26
h-index 3

CrossRef

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Citations 11
h-index 2
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Bio

Data Mining

Personal Details

  • Female
  • Associate Professor , Gandhi Institute of Technology and Management
  • Provident Welworth City,Doddaballapur Rd
PhD
Gandhi Institute of Technology and Management 2019
Associate Professor Jul 2021 – Present
Gandhi Institute of Technology and Management | Department of Computer Science Engineering

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Co-Authors (2)

Mala

Mala B M

Reva University, Bangalore

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Scholarly Work

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DESIGN OF COMPREHENSIVE FRAMEWORKS FOR THE PROTECTION OF ELECTRONIC MEDICAL RECORDS USING QUANTUM BLOCKCHAIN

University GITAM (Deemed to be) University
Year 2025

A SYSTEM AND METHOD FOR SECURELY EXCHANGING ELECTRONIC MEDICAL INFORMATION AMONG MULTIPLE HOSPITALS

Ms. RANJITHA VENKATESH
- Application No. : 202441042032 Filed : 30-05-2024
Published : 21-06-2024 Published

Scholarly Publications

Deep Learning-based Classification of Infant Cries for Parental Assistance: A Study using MFCC and CNN Technique

Open Access
conference paper
Authors: Mala B M, Dr.Smitha Sandeep Darandale

Effective infant cry signal analysis and reasoning using IARO based leaky Bi-LSTM model

Open Access
Article

Enhancing Healthcare Security with Quantum Blockchain: Electronic Medical Records Protection

Open Access
conference paper
Authors: Ranjitha Venkatesh, Smita Darandale

Information Visualization in Big Data and IoT: A Review

Open Access
Conference Paper

An effective feature descriptor method to classify plant leaf diseases using Extreme Gradient Boost

Open Access
journal-article
Authors:

Risk Assessment and Management using Machine Learning Approaches

Open Access
Conference Paper

Comparison Analysis of Extracting Frequent Itemsets Algorithms Using MapReduce

Open Access
Book Chapter

Clustering Methods Analysis on Low and High Dimensional Data

Open Access
journal-article