... Artificial intelligence Hospitality industry Future research agenda Bibliometric review Machine learning ChatGPT King Fahd University of Petroleum and Minerals CUP2602 Yogesh K. Dwivedi’s contribution to this study was supported by the Deanship of Research at King Fahd University...

... 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...

... to the relevant division in each cluster. For example, 11.40% of scholars in Cluster 1 are affiliated to Educational Sciences, whereas 5.88% of scholars in this cluster is from Medicine division. Data mining Machine learning Cluster analysis Bibliometric databases Scholar-level publishing performance...

...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...

... management Machine learning In this section, first, general concepts are provided. Then related works are reviewed. By collecting, storing, evaluating, interpreting, retrieving and disseminating information and knowledge to specific users, new information and communication technologies...

... 03 2021 29 06 2021 21 07 2021 10 08 2021 17 08 2021 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...

... attempts to address this gap. Social media Big data Machine learning Information propagation Group behavior User reputation © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Nimish Joseph can be contacted at: nimishjoseph@gmail.com 12...

... transaction as genuine or a scam. LR, Naive Bayes, Multilayer Perceptron(MLP) and RF were compared in experiments to determine which one is best for credit card fraud detection (Varmedja et al., 2019). Moreover, the data set is highly imbalanced according to Kaggle (Machine Learning Group, 2018...

... , 2012), Saadatfar et al. (2012) and Machine Learning algorithms Aussel et al. (2018) , Wang et al.(2017) . Ample research has been done in the area of anomaly detection, log analysis, root cause analysis, model to avoid failure in systems with the help...

... Licensed re-use rights only Machine learning Educational data mining Naïve Bayes classifier Learning management system Feature selection Oversampling technique Over the past years, research studies have applied machine-learning and data-mining techniques to find interesting patterns...