Dr Janakiraman S.
vidwan id: 65574
Professor, Department of Banking Technology
Pondicherry University
Expertise
- Computer Science Cybernetics
Publications
Publications
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Scopus
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12
CrossRef
Citations
242
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7
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Bio
Computer Networks and Security, Artificial Intelligence, Data Mining and Machine Learning, Information System Audit.
Personal Details
- Male
- Professor , Pondicherry University
- Department of Banking Technology ,School of Management, Pondicherry University, R.V.Nagar, Kalapet,
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Co-Authors (35)
C M R Institute of Technology, BANGALORE
Koneru Lakshmaiah Education Foundation, Guntur
Christ University
Christ University
Siddaganga Institute of Technology, TUMKUR
Amity University, Gwalior
S R M Institute of Science & Technology, Chennai
Nagaland University
East Point College of Engineering and Technology
S R M Institute of Science & Technology, Chennai
VIT Bhopal University, Sehore
Jain University, Bangalore
Galgotia`s University, Greater Noida
National Institute of Technology Agartala
Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai
Koneru Lakshmaiah Education Foundation, Guntur
Saveetha Engineering College (Autonomous)
N/A
P.S.R.Engineering College
VIT Bhopal University, Sehore
Sri Manakula Vinayagar Engineering College
Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur
Koneru Lakshmaiah Education Foundation, Guntur
S R M Institute of Science & Technology, Chennai
VIT Bhopal University, Sehore
Pondicherry University
Pondicherry University
S R M Institute of Science & Technology, Chennai
Vels Institute of Science, Technology and Advanced Studies, Chennai
Koneru Lakshmaiah Education Foundation, Guntur
S R M Institute of Science & Technology, Chennai
Indian Institute of Information Technology, Kottayam
Scholarly Work
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Scholarly Publications
Stacked Ensemble-Based Machine Learning Approach for Anomaly Detection in Credit Card Transactions
Open AccessBANKERS’ PERSPECTIVE ON SOCIAL MEDIA BANKING: A STUDY WITH SPECIAL REFERENCE TO SELECT INDIAN BANKS
Open AccessOptimal feature selection for malware detection in cyber physical systems using graph convolutional network
Open AccessAn optimized deep learning model to ensure data integrity and security in IoT based e-commerce block chain application
Open Access
10.3233/JIFS-220743
6
12