In the context of the current COVID-19 pandemic, various sophisticated epidemic and
machine learning models have been used for forecasting. These models, however, rely on …

Worldwide, cardiovascular diseases are some of the primary causes of death; yet the early
detection and diagnosis of such diseases have the potential to save many lives …

Social media has gained great popularity among consumers and social media data offers
enormous potential for marketing researchers to generate consumer insights. This thesis …

Predicting stock prices is difficult because of their multiple input variables, volatility, and
unpredictable nature. To provide a suitable model for forecasting the global stock market …

Stock price prediction has always been challenging due to its volatility and unpredictability.
This paper performs a preliminary exploratory comparison that utilizes Long Short-Term …

This document pretends to provide an overview about the lights and shadows on the latest
trends in this specific area. Unlike previously released literature reviews, that are providing a …

Abstract Machine learning has catalyzed significant strides in improving the quality of
predictions regarding patient health. However, significant specific expertise is still required …

Compilation is the process of translating the textual representation of source code into
machine code. This process is traditionally implemented as a series of single-threaded …