Due to recent advances in digital technologies, and availability of credible data, an area of
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …

In recent years, convolutional neural networks (CNNs) have shown great performance in
various fields such as image classification, pattern recognition, and multi-media …

The volume of network and Internet traffic is expanding daily, with data being created at the
zettabyte to petabyte scale at an exceptionally high rate. These can be characterized as big …

Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics
capabilities through the improvement of the real-time event processing techniques. Machine …

Convolutional Neural Networks have rapidly become the most successful machine-learning
algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded …

Autonomous driving systems have attracted a significant amount of interest recently, and
many industry leaders, such as Google, Uber, Tesla, and Mobileye, have invested a large …

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 …

Convolutional neural network (CNN) has become a successful algorithm in the region of
artificial intelligence and a strong candidate for many computer vision algorithms. But the …

In order to approximate the underlying process of temporal data, time series prediction has
been a hot research topic for decades. Developing predictive models plays an important role …

Convolutional neural networks (CNNs) have been widely applied in many deep learning
applications. In recent years, the FPGA implementation for CNNs has attracted much …