Brain imaging techniques play an important role in determining the causes of brain cell
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …

Neural network models, celebrated for their outstanding scalability and computational
capabilities, have demonstrated remarkable performance across various fields such as …

Convolutional neural networks (CNNs) demonstrate excellent performance in various
computer vision applications. In recent years, FPGA-based CNN accelerators have been …

In recent years, convolutional neural network (CNN)-based methods have been widely used
for optical remote sensing object detection and have shown excellent performance. Some …

From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance
systems to seamlessly integrating with augmented reality, object detection algorithms stand …

Convolutional Neural Networks--(CNNs) based algorithms have been successful in solving
image recognition problems, showing very large accuracy improvement. In recent years …

Convolutional neural network (CNN)-based object detection has been widely employed in
various applications such as autonomous driving and intelligent video surveillance …

The practice of deep neural framework specific to convolutional neural networks
(ConNeuNets) in domain of object detection is substantial. The existing deep ConNeuNets …

Due to the huge success and rapid development of convolutional neural networks (CNNs),
there is a growing demand for hardware accelerators that accommodate a variety of CNNs …

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 …