A convolutional neural network (CNN) is one of the most significant networks in the deep
learning field. Since CNN made impressive achievements in many areas, including but not …

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 …

Energy financing in COVID-19: how public supports can benefit? | Emerald Insight Books and
journals Case studies Expert Briefings Open Access Publish with us Advanced search Energy …

The advancement of artificial intelligence (AI) has truly stimulated the development and
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …

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 …

Advances in multicore processors and accelerators have opened the flood gates to greater
exploration and application of machine learning techniques to a variety of applications …

As convolution contributes most operations in convolutional neural network (CNN), the
convolution acceleration scheme significantly affects the efficiency and performance of a …

As convolution layers contribute most operations in convolutional neural network (CNN)
algorithms, an effective convolution acceleration scheme significantly affects the efficiency …

Recent researches on neural network have shown significant advantage in machine
learning over traditional algorithms based on handcrafted features and models. Neural …

Large-scale deep neural networks (DNNs) are both compute and memory intensive. As the
size of DNNs continues to grow, it is critical to improve the energy efficiency and …