... maintenance Machine learning Industry 4.0 Digital twin (DT) technology has become a core element of Industry 4.0, which allows synchronizing the real physical manufacturing systems and the virtual ones in real-time. Tool condition monitoring (TCM) based on DT is important in machining settings...

...Khurram Shahzad; Mukhtar Ahmmad; Abid Iqbal; Muhammad Shahzad Chaudhry Purpose This study aims to identify the factors influencing the adoption of machine learning in libraries. It also aims to reveal challenges linked to implement machine learning in library settings. Design/methodology...

...Saleha Masood; Mousa Ahmad Albashrawi; Yogesh K. Dwivedi Purpose This study aims to predict the risk of Type 2 Diabetes Mellitus (T2 DM ) among social media users in Saudi Arabia using machine learning ( ML ) techniques. By analyzing Instagram posts, the research seeks to identify lifestyle...

... the interplay between social media dynamics and Pakistan’s political landscape. The proposed hybrid model combines supervised machine learning and deep learning for Twitter-based text classification to assess political perceptions. A total of 52,067 tweets were analyzed and categorized into eight emotion groups...

... for policymakers and scholars. Ali Pişirgen can be contacted at: alipisirgen@kmu.edu.tr 26 02 2024 20 07 2024 13 02 2025 23 03 2025 © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Data mining Machine learning Cluster...

...Zakaria Khoudi; Nasreddine Hafidi; Mourad Nachaoui; Soufiane Lyaqini Purpose The purpose of this research is to evaluate the utility of clickstream data and machine learning algorithms in predicting student performance and enhancing online learning experiences. By leveraging clickstream data...

...Josip Gegač; Nikola Greb; Marina Bagić Babac Purpose The purpose of this paper is to explore the Values in Action (VIA) classification of human strengths and virtues by using unsupervised machine learning techniques, specifically topic modeling algorithms, on a sample of X (formerly known...

...-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short...

... the data using unsupervised machine learning methods. We will use K-Means, density-based spatial clustering of applications with noise (DBSCAN) and balanced iterative reducing and clustering using hierarchies (BIRCH) clustering methods for analysis, each of which has parameters that affect its performance...

... 20 08 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Clustering Machine learning SARS-COV-2 Time series analysis Covid-19 Health systems evaluation Infection prevention and control A Coronavirus causes the existing Covid...

... to the spreading of rumors, riots and political violence (Chau and Xu, 2012 ; Zhang et al., 2020). It is, therefore, necessary to understand the concepts behind information propagates to learn why some SM activities achieves popularity. Social media Big data Machine learning Information...

.... The data-driven analytics process discovers useful information from huge amounts of hidden data. Machine learning (ML) techniques learn automatically from historical data and achieve their prediction accuracy based on what they have learned. Therefore, lots of FinTech applications or services are using...

...: a list of keywords used in research papers and search query/term used during the search. Table 1 Identified key words Key words Log, events, log analysis, failure detection, failure prediction, machine learning, Deep Learning Search query/term ((“Events” OR “System log” OR “Event...

... methodology for selecting the optimal low-cardinal subset of students’ activities and significant prediction accuracy improvement in a blended learning environment. © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Machine learning Educational data mining...