Intelligent System for ATM Fraud Detection System using C-LSTM Approach-Reference-Cited by-同舟云学术

Intelligent System for ATM Fraud Detection System using C-LSTM Approach

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
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Author:

Rathor Ketan¹,Vidya S.²,Jeeva M.³,Karthivel M.⁴,Ghate Shubhangi N.⁵,Malathy V⁶

Affiliation:

1. GyanSys Inc.,,Department of PMO,Maharashtra,India

2. B.S.Abdur Rahman Crescent Institute of Science and Technology,Department of Commerce,Vandalur,Tamilnadu,India

3. Knowledge Institute of Technology,Department of CSE,Selliampalayam,Tamil Nadu,India

4. PSNA College of Engineering and Technology,Department of Mathematics,Dindigul,Tamilnadu,India

5. D.Y.Patil Deemed to be University,Department of Electronics and Telecommunication Engg. RAIT,Navi-Mumbai,Maharashtra,India

6. SR University,School of Engineering,Department of ECE,Warangal,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193398.pdf?arnumber=10193398

Reference26 articles.

1. An accurate active shape model for facial feature extraction

2. Extraction of a symmetric object for eyeglass face analysis using active contour model

3. Detection of unusual events in low resolution video for enhancing ATM security and prevention of thefts

4. E-Module Based Problem Solving in Basic Physics Practicum for Science Process Skills

5. Face localization and facial feature extraction based on shape and color information

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