The quality of the interpretation of the sentiment in the online buzz in the social media and
the online news can determine the predictability of financial markets and cause huge gains …

This work contributes to this ongoing debate on the nature and the characteristics of
propagation channels of crash events in international stock markets. Specifically, we …

In this paper a novel approach is proposed to predict intraday directional-movements of a
currency-pair in the foreign exchange market based on the text of breaking financial news …

The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …

Air pollution is a global problem and can be perceived as a modern-day curse. One way of
dealing with it is by finding economical ways to monitor and forecast air quality. Accurately …

Therapeutic issues are commonly found in every single person. Tumor is a standout among
the most unsafe sicknesses a human can ever had. It is exceptionally hard to distinguish it in …

The applications of both Feed Forward Neural network and Multilayer perceptron are very
diverse and saturated. But the linear threshold unit of feed forward networks causes fast …

Standard convolution operations can effectively perform feature extraction and
representation but result in high computational cost, largely due to the generation of the …

It is a well-known fact that improving forecasting accuracy is an important yet often
challenging issue. Extensive research has been conducted using neural networks (NNs) to …

Classification is a common problem in various fields of life, and the key challenging task in
data mining. The primary objective of the classification process to classify the given dataset …