Integrated CNN and waterwheel plant algorithm for enhanced global traffic detection
Traffic detection is critical in ensuring road safety and efficient traffic management,
demanding deploying accurate and practical algorithms. This research explores the fusion
of Convolutional Neural Networks (CNNs) and the Waterwheel Plant Algorithm to augment
global traffic detection capabilities, utilizing a diverse dataset primarily collected from Turkey.
A comprehensive evaluation of prominent CNN architectures, such as VGG19Net, AlexNet,
ResNet-50, GoogLeNet, and a generic CNN, underscores substantial efficacy, with the CNN …
demanding deploying accurate and practical algorithms. This research explores the fusion
of Convolutional Neural Networks (CNNs) and the Waterwheel Plant Algorithm to augment
global traffic detection capabilities, utilizing a diverse dataset primarily collected from Turkey.
A comprehensive evaluation of prominent CNN architectures, such as VGG19Net, AlexNet,
ResNet-50, GoogLeNet, and a generic CNN, underscores substantial efficacy, with the CNN …
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