Dr Hetal Thaker
Assistant Professor
| School of Management Studies
NATIONAL FORENSIC SCIENCES UNIVERSITY
Gujarat
Expertise:
Computer Science Information Systems
19
Publications
0
Projects
3
Scopus Citations
7
CrossRef
20 Years 10 Months Total Experience
Scopus
3
Citations
1
h-index
CrossRef
7
Citations
2
h-index
Google Scholar
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Professional Recognition
Gold Medal for securing first rank in M.C.A
2005
Saurashtra University, Rajkot
Community & Membership
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Indian Society for Technical Education
Life MemberThe International Association of Engineers and Scientists (IAEST)
IAEST MemberInternational Association of Engineers (IAENG)
IAENG MemberInternational Association of Computer Science and Information Technology (IACSIT)
IACSIT MemberPersonal Details
Doctor of Philosophy
2015
The ICFAI University Sikkim
Master of Arts
2005
The ICFAI University Sikkim
Assistant Professor
Jun 2023 – Present
NATIONAL FORENSIC SCIENCES UNIVERSITY
| School of Management Studies
Assistant Professor
Jul 2022 – Jan 2023
GLS School of Doctoral Research and Innovation
Associate Professor
Aug 2019 – Jul 2022
ATMIYA UNIVERSITY
Assistant Professor
Dec 2018 – Jul 2019
ATMIYA UNIVERSITY
Assistant Professor
Jul 2005 – Dec 2018
ATMIYA UNIVERSITY
Engineering and Technology
Scholarly Work
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Design and Development of a Model to Classify Crop Foliar Diseases
Design and Development of Decision Support System to Recommend Nutritious Food for Cardiovascular Patients
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Scholarly Publications
Combat against Financial Fraud in Indian Banking Sector: A Cyber Security Measures in the Era of AI
Cognitive Engine: Intelligent system for Quality of Service in Wireless Communication
An Approach to Pattern Recognition using Neural Network
Study of different off-line handwritten character recognition algorithms for various indian scripts
Study and Analysis of various preprocessing approaches to enhance Offline Handwritten Gujarati Numerals for feature extraction
Analysis of Structural Features and Classification of Gujarati Consonant for Offline Character Recognition
Analysis and recognition of handwritten character and its patterns
A survey on various image processing techniques and machine learning models to detect, quantify and classify foliar plant disease
Showing 1 to 8 of 19 publications