Deep Learning-Based Multiclass Anomaly Detection in the IoT_GPS_Tracker Dataset: Unveiling Patterns for Enhanced Tracking Accuracy-Reference-Cited by-同舟云学术

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Deep Learning-Based Multiclass Anomaly Detection in the IoT_GPS_Tracker Dataset: Unveiling Patterns for Enhanced Tracking Accuracy

Published:2023-11-23 Issue: Volume:19 Page:687-690
ISSN:
Container-title:2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
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Author:

Qawqzeh Yousef¹,Samaraa Wejdan¹

Affiliation:

1. Fujairah University,Dept. of Information Technology,Fujairah,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465674/10465681/10466099.pdf?arnumber=10466099

Reference14 articles.

1. A Fraud Detection System Using Decision Trees Classification in An Online Transactions

2. A Review on Deep Learning Techniques for IoT Data

3. Deep learning-enabled anomaly detection for IoT systems

4. A Stacked Deep Learning Approach for IoT Cyberattack Detection

5. A Proposed Decision Tree Classifier for Atherosclerosis Prediction and Classification;Qawqzeh

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