Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles

Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles

Autonomous vehicles (AVs), particularly self-driving cars, have produced a large amount of interest in artificial intelligence (AI), intelligent transportation, and computer vision. Tracing and detecting numerous targets in real-time, mainly in city arrangements in adversarial environmental conditio...

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Bibliographic Details
Main Authors: Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Mathematics
Subjects:
explainable artificial intelligence
transfer learning
adverse weather conditions detection
levy sooty tern optimization
autonomous vehicles
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241693
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https://www.aimspress.com/article/doi/10.3934/math.20241693

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