The field of computer vision is experiencing a great-leap-forward development today. This
paper aims at providing a comprehensive survey of the recent progress on computer vision …

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 networks (CNNs) require numerous computations and external
memory accesses. Frequent accesses to off-chip memory cause slow processing and large …

Quality inspection and defect detection remain critical challenges across diverse industrial
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …

Memristor-integrated passive crossbar arrays (CAs) could potentially accelerate neural
network (NN) computations, but studies on these devices are limited to software-based …

Wind power prediction decreases the uncertainty of the entire energy system, which is
essential for balancing energy supply and demand. In order to improve the prediction …

IoT in healthcare is an important thing player in providing better scientific centers to the
patients and enables the doctors and hospitals as well. The proposed system right here …

The increasing power consumption in the existing computation architecture presents grand
challenges for the performance and reliability of very‐large‐scale integrated circuits …

For the past decade, CIOs have prioritised business intelligence (BI) technologies, but little
is understood about how to properly maintain those systems after the development phase …

Deep learning, the fastest growing segment of Artificial Neural Network (ANN), has led to the
emergence of many machine learning applications and their implementation across multiple …