Compared with survey polls, social media can yield a better and more comprehensive
understanding of public perceptions of special topics in a more scientific manner. However …

In the recent past, a huge number of cameras have been placed in a variety of public and
private areas for the purposes of surveillance, the monitoring of abnormal human actions …

We present a benchmark comparison of several deep learning models including
Convolutional Neural Networks, Recurrent Neural Network and Bi-directional Long Short …

Real-world traffic surveillance videos need continuous supervision to monitor and take
appropriate actions in case of fatal accidents. However, continuously monitoring them with …

Aiming at the complex and changeable environment and the low public participation in
emergency decision-making, this article proposes a method for the dynamic collaboration of …

Nowadays, we are witnessing a paradigm shift from the conventional approach of working
from office spaces to the emerging culture of working virtually from home. Even during the …

Sentiment analysis (SA) is a technique used in natural language processing (NLP), which
determines the sentiment or emotion expressed in a piece of text. SA technique is frequently …

Making investment decisions by utilizing sentiment data from social media (SM) is starting to
become a more tangible concept. There has been a broad investigation into this field of …

There are two unique challenges in current research of price volatility studies in the crude oil
futures market, which is how to capture the impact of interactivity between data as much as …

Interests play an essential role in the process of learning, thereby enriching learners
'interests will yield to an enhanced experience in MOOCs. Learners interact freely and …