Our paper mainly focuses on developing an audio classification for people, who cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). One of the many prevalent complaints from ...

Over the last decade, social media networks have become a vital platform for sharing and obtaining information. Nevertheless, one of the dark sides of this social media fever is rumors and fake news. Because misinformation ...

In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ...

Demand forecasting is mainly a process whereby analyzing historical sales data, strategic and operational strategies are devised in order to estimate customer demand. One of the most fundamental aspects of supply chain ...

Experiencing an image on-screen is a privilege that we often seem not to care about. A visually impaired person does not have that luxury. A system that can automatically produce closed captions of an image can thus help ...

Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ...

With the emergence of Generative Models for creating Deepfake images, and videos of high quality, which are extremely realistic and hard to recognize, several social, and political issues have come to light. DeepFakes ...

Predicting financial data is really important for investors Often times investors do not have a proper tool to properly assess the market and forecast their predictions. Furthermore, not only investors in modern day ...

In today’s world, when people are suffering from complex brain diseases, MRI has been playing a very significant part in understanding brain functionalities and its abnormalities. Deep learning has been recently used for ...

Software Automation Process involves automating the software testing process entailing machine learning models and methodologies. This may entail procedures like test case prioritization, selection and test case generation. ...