Graph neural networks (GNNs) are an emerging research field. This specialized deep
neural network architecture is capable of processing graph structured data and bridges the …

Prediction of stock market trends is considered as an important task and is of great attention
as predicting stock prices successfully may lead to attractive profits by making proper …

CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …

Recent advances in machine learning have stimulated widespread interest within the
Information Technology sector on integrating AI capabilities into software and services. This …

The emergence of smart cities has addressed many critical challenges associated with
conventional urbanization worldwide. However, sustainable traffic management in smart …

Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility,
and relevance for research on innovation and beyond. While traditional attempts to analyze …

Advancements in artificial intelligence (AI) technologies are rapidly changing the competitive
landscape. In the search for an appropriate strategic response, firms are currently engaging …

Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …

The goal of this paper is to ascertain with what accuracy the direction of Bitcoin price in USD
can be predicted. The price data is sourced from the Bitcoin Price Index. The task is …

This survey paper describes the significant literature survey of Sustainable Smart Cities
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …