Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …

The concept of smart grid has been introduced as a new vision of the conventional power
grid to figure out an efficient way of integrating green and renewable energy technologies. In …

Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …

Text retrieval is a long-standing research topic on information seeking, where a system is
required to return relevant information resources to user's queries in natural language. From …

The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

The click feature of an image, defined as the user click frequency vector of the image on a
predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained …

Hashing is an efficient method for nearest neighbor search in large-scale data space by
embedding high-dimensional feature descriptors into a similarity preserving Hamming …

Blockchain technology has been ushering in nothing short of a decentralized revolution.
Distributed/decentralized energy is recognized the best way to ensure energy sustainability …

Although weight and activation quantization is an effective approach for Deep Neural
Network (DNN) compression and has a lot of potentials to increase inference speed …

A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …