Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org
"Fingerprint Recognition with Artificial Neural Networks: Application to E-Learning"
written by Stephane Kouamo, Claude Tangha,
published by Journal of Intelligent Learning Systems and Applications, Vol.8 No.2, 2016
has been cited by the following article(s):
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[1] Connected and Autonomous Vehicles for Intelligent Transportation Systems
2020
[2] Reduction of False Rejection in an Authentication System by Fingerprint with Deep Neural Networks
2020
[3] Angular Coherence Observation in Fingerprints and Lungs for Fingerprint Classification and COVID-19 Differentiation
2020
[4] The Principle and Design of Separate Fingerprint Identification System
2019
[5] Fingerprint classification and identification algorithms for criminal investigation: A survey
2019
[6] An artificial neural network augmented GARCH model for Islamic stock market volatility: Do asymmetry and long memory matter?
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[7] Fingerprint Recognition System Based on Modified Multi-Connect Architecture (MMCA)
2019
[8] THE PROCEDURE FOR THE DETERMINATION OF STRUCTURAL PARAMETERS OF A CONVOLUTIONAL NEURAL NETWORK TO FINGERPRINT …
2019
[9] Novel Adaptive Auto-Correction Technique for Enhanced Fingerprint Recognition
International Journal of Advanced Computer Science and Applications, 2019
[10] A Survey on Unimodal, Multimodal Biometrics and Its Fusion Techniques
2018
[11] Improvement of Dragonfly Algorithm with Chaos Theory
2018
[12] An EEG-Based Person Authentication System with Open-Set Capability Combining Eye Blinking Signals
Sensors, 2018
[13] Anti-deception: reliable EEG-based biometrics with real-time capability from the neural response of face rapid serial visual presentation
2018
[14] DIFRS-Database for Fingerprint Recognition System Using Ink-On-Paper Technique
2018
[15] Fingerprint matching application using hardware based artificial neural network with Matlab
2017
[16] Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators
Entropy, 2016
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