Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a
wide range of cognitive tasks, and due to this, they have received significant interest from the …

In this study, a deep learning algorithm based on the you-only-look-once (YOLO) approach
is proposed for the quality inspection of printed circuit boards (PCBs). The high accuracy …

In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the
past many models and different approaches have been implemented in the quality …

Convolutional neural network (CNN) based object detection algorithms are becoming
dominant in many application fields due to their superior accuracy advantage over …

Deep Convolutional Neural Network (CNN) algorithm has recently gained popularity in
many applications such as image classification, video analytic and object detection. Being …

Convolutional Neural Networks (CNNs) are very popular in many fields including computer
vision, speech recognition, natural language processing, etc. Though deep learning leads to …

On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …

Convolutional Neural Networks (CNNs) are influencing major breakthroughs in computer
vision by achieving unprecedented accuracy on tasks such as image classification, object …

To address the problems of large storage requirements, computational pressure, untimely
data supply of off-chip memory, and low computational efficiency during hardware …

Brain-computer interfaces (BCIs) could manipulate devices through non-invasive
electroencephalogram (EEG) signal. A compact deep convolutional neural network model …