Enhanced Rear-End Collision Detection and Localization Scheme Using LSTM, DRNN, and DNN in Fog-Based Internet of Vehicles-Reference-Cited by-同舟云学术

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Enhanced Rear-End Collision Detection and Localization Scheme Using LSTM, DRNN, and DNN in Fog-Based Internet of Vehicles

Published:2024 Issue: Volume: Page:119-130
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Abubakar Saidu,bin Abu Bakar Kamalrulnizam,Isyaku Babangida,Muchtar Farkhana Binti,Singh Jyotsna,Yusuf Muhammed Nura,Abba Abubakar Salihu

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-97-2550-2_11

Reference40 articles.

1. Bakar KBA et al (2023) A review on the immediate advancement of the Internet of Things in wireless telecommunications. IEEE Access

2. Porambage P et al (2018) Survey on multi-access edge computing for internet of things realization. IEEE Commun Surv Tutorials 20(4):2961–2991

3. Tanwar S et al (2023) In: Proceedings of fourth international conference on computing, communications, and cyber-security: IC4S 2022. Springer

4. Singh PK et al (2022) In: Proceedings of third international conference on computing, communications, and cyber-security: IC4S 2021, vol 421. Springer Nature

5. Dayong W, Bakar KBA, Isyaku B (2023) A Survey on IoT task offloading decisions in multi-access edge computing: a decision content perspective. Qubahan Acad J 3(4):422–436

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