With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …

In this literature review, we investigate machine learning techniques that are applied for
stock market prediction. A focus area in this literature review is the stock markets …

Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

Purpose This study aims to analyze the available literature on the use of digital marketing
and its impact on small-and medium-sized enterprises (SMEs). This study identifies the use …

In recent years it has been shown that the secure exchange of medical information
significantly benefits people's life quality, improving their care and treatment. The …

Recent advancements in deep learning architecture have increased its utility in real-life
applications. Deep learning models require a large amount of data to train the model. In …

Virtual teams (ie, geographically distributed collaborations that rely on technology to
communicate and cooperate) are central to maintaining our increasingly globalized social …

The competent software architecture plays a crucial role in the difficult task of big data
processing for SQL and NoSQL databases. SQL databases were created to organize data …

With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

Abstract Project-Based Learning (PBL) and Computational Thinking (CT), a teaching
strategy and a problem-solving method, respectively, have been widely used in teaching …