Question Answering has recently received high attention from artificial intelligence
communities due to the advancements in learning technologies. Early question answering …

Abstract Analysis of time series data has been a challenging research subject for decades.
Email traffic has recently been modelled as a time series function using a Recurrent Neural …

Email users are increasing at a high rate and a huge number of people's privacy is getting
risked by spam email and it also kills valuable time of people most often. Spam email can be …

Electricity consumption has increased exponentially during the past few decades. This
increase is heavily burdening the electricity distributors. Therefore, predicting the future …

Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), and
Memory Networks which contain memory are popularly used to learn patterns in sequential …

Given the increase of smart electricity meters and the wide adoption of electricity generation
technologies such as solar panels, there is a wealth of data available on the usage of …

Machine Translation (MT) is an area in natural language processing, which focuses on
translating from one language to another. Many approaches ranging from statistical methods …

Many languages and cultures are followed by the peoples in India. Most of the peoples are
known only their mother tongue. But in everyday life, the peoples are in the position to get …

As the number of applications available over the Internet rapidly grows, providing services
with high Quality of Service (QoS) and Quality of Experience (QoE) becomes an increasingly …

Most of the real world data is embedded with noise, and noise can negatively affect the
classification learning models which are used to analyse data. Therefore, noisy data should …