Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …

Vibration analysis is considered as a cost-efficient and nondestructive technique to monitor
the transformer operating conditions and evaluate the transformer mechanical integrity. This …

Sentiment and emotion, which correspond to long-term and short-lived human feelings, are
closely linked to each other, leading to the fact that sentiment analysis and emotion …

In the task of text sentiment analysis, the main problem that we face is that the traditional
word vectors represent lack of polysemy, the Recurrent Neural Network cannot be trained in …

Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …

Consumer feedback is highly valuable in business to assess their performance and is also
beneficial to customers as it gives them an idea of what to expect from new products. In this …

With the increasing number of customer reviews on the Web, there is a growing need for
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …

Research of document classification is ongoing to employ the attention based-deep learning
algorithms and achieves impressive results. Owing to the complexity of the document …

In recent years, deep neural networks (DNNs) have achieved a remarkable progression in
solving many complex problems. DNNs are suitable for dealing with the problems related to …

Construction projects delivered using the Design-Build (DB) method include a single
contract which defines requirements associated with various disciplines involved in the …