Dr Ankit Thakkar
vidwan id: 348711
Professor, Department of Computer Science and Engineering
Institute of Technology, Nirma University
Expertise
- Computer Science Artificial Intelligence
Publications
Publications
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Scopus
h-index
22
CrossRef
Citations
907
h-index
15
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Professional Recognition
Gold Medal for securing the highest CPI among all graduating 2007 to 2009 batch MTech students of Computer Science and Engineering Branch, Institute of Technology, Nirma University.
Nirma UniversityDr. Ankit Thakkar is Awarded a Cash Award of Rs. 20,000/- for Publication of Research Papers in Reputed Journals with Highest Impact Factor of 13.669 during the Period of January 2019 to December 2020.
Nirma UniversityReceived "Research Consultancy Award" under the Scheme of Faculty Awards & Incentives
Nirma University"Most Punctual Faculty" BY STUDENT’S CHOICE
ACES (ASSOCIATION OF COMPUTER ENGINEERING STUDENTS), CSI (COMPUTER SOCIETY OF INDIA) AND INFOCRATS sThe state-level award ISTE Gujarat-Vadodara Institute of Engineering award for Best Faculty in Computer Engineering, U.G. Program in Gujarat state for the year 2021-22
INDIAN SOCIETY FOR TECHNICAL EDUCATION (ISTE)Community & Membership
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IEEE
ACM
ISTE
Bio
Computational Intelligence, Applications of Machine Learning, Swarm and Evolutionary Computation, Stock Trend Prediction, Intrusion Detection System, Human Action Recognition, Sentiment Analysis
Personal Details
- Male
- Professor , Institute of Technology, Nirma University
- Nirma University S.G. Highway
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Co-Authors (7)
Symbiosis International University, Pune
Institute of Technology, Nirma University
Dr. Ambedkar Institute of Technology
Institute of Technology, Nirma University
Institute of Technology, Nirma University
Institute of Technology, Nirma University
Scholarly Work
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Enhancing Stock Trend Prediction using Computational Intelligence Techniques
Enhancing Attack Classification for Intrusion Detection Systems using Machine Learning Techniques
Enhancing Human Action Recognition Using Machine Learning Techniques
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Scholarly Publications
Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review
Open AccessFusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
Open AccessAnalyzing fusion of regularization techniques in the deep learning-based intrusion detection system
Open Access
10.1002/int.22590
6
25
Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction
Open AccessA Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges
Open Access
10.1007/s11831-020-09496-0
53
216
A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Open Access
10.1007/s10462-020-09904-8
72
268
Attack classification using feature selection techniques: a comparative study
Open Access
10.1007/s12652-020-02167-9
33
100