By combining these components, our approach achieves exceptional results on a newly proposed dataset.
Visual identification of gunmen in a crowd is a challenging problem, that requires resolving the association of a person with an object (firearm).
Designing a technique for the automatic analysis of different actions in videos in order to detect the presence of interested activities is of high significance nowadays.
However, the development of a churn prediction system for a telecom industry is a challenging task, mainly due to the large size of the data, high dimensional features, and imbalanced distribution of the data.
In this paper, we discuss an attempt to develop an automatic language identification system for 5 closely-related Indo-Aryan languages of India, Awadhi, Bhojpuri, Braj, Hindi and Magahi.
Earthquake magnitude prediction for Hindukush region has been carried out in this research using the temporal sequence of historic seismic activities in combination with the machine learning classifiers.