EventsThe 6th International Electronic Conference on Applied Sciences
Event submissions
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarFrancesco Arcadio
Citation
Abida Ayuba, Dr Farouk Lawan Gambo, Aminu Musa, Hauwa Aliyu Yakubu, Bilal Ibrahim Maijamaa, Abdullahi Ishaq, An Enhanced Lightweight IoT-Based Pipeline Leak Detection Model Using CNN and Autoencoder, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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An Enhanced Lightweight IoT-Based Pipeline Leak Detection Model Using CNN and Autoencoder

Abida Ayuba 1
Dr Farouk Lawan Gambo 2
image
Aminu Musa 1
Hauwa Aliyu Yakubu 3
Bilal Ibrahim Maijamaa 1
Abdullahi Ishaq 1
1. Computer Science Department, Federal University Dutse, Dutse 720211, Nigeria
2. Department of Cyber Security, Federal University Dutse, Dutse, Nigeria
3. Computer Science, Bayero University Kano, 700006, Nigeria
Abstract
Keywords
Pipeline leak detection
Internet of Things (IoT)
Thermal imaging
Convolutional Neural Network (CNN)
Autoencoder
Knowledge distillation.