Integrating IoT and honey badger algorithm based ensemble learning for accurate vehicle detection and classification
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference23 articles.
1. EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models;Mittal;Neural Comput Appl,2023
2. A fast and accurate real-time vehicle detection method using deep learning for unconstrained environments;Farid;Appl Sci,2023
3. Sensor based vehicle detection and classification-a systematic review;Singhal;Int J Eng Syst Modell Simul,2022
4. Vehicle detection from UAV imagery with deep learning: a review;Bouguettaya;IEEE Trans Neural Networks Learn Syst,2021
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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A comprehensive survey of honey badger optimization algorithm and meta-analysis of its variants and applications;Franklin Open;2024-09
2. An intelligent water drop algorithm with deep learning driven vehicle detection and classification;AIMS Mathematics;2024
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