Healthcare trust evolution with explainable artificial intelligence: bibliometric analysis
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had
a profound impact on a number of industries, including medical. The use of AI for therapeutic …
a profound impact on a number of industries, including medical. The use of AI for therapeutic …
Wetlands contribution and linkage to support SDGs, its indicators and targets‐A critical review
This study marks one of the pioneering efforts to compile comprehensive information on
Ramsar sites globally. It delves into the significance of wetlands and the designation of …
Ramsar sites globally. It delves into the significance of wetlands and the designation of …
Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe
In the world of technology, the electronic and technical development of the fields of
communication and the internet has increased, which has caused a renaissance in the …
communication and the internet has increased, which has caused a renaissance in the …
Digital tools and challenges in human resource development and its potential within the maritime sector through bibliometric analysis
Y Autsadee, J Jeevan, NHB Mohd Salleh… - … Affairs, and Shipping, 2023 - Taylor & Francis
The maritime industry, a cornerstone of global trade and commerce, is currently undergoing
a significant transformation, primarily driven by technological advancements. Human …
a significant transformation, primarily driven by technological advancements. Human …
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
This study's foremost objectives were to scrutinize how unexpected weather affects
agricultural output and to assess how well AI-based machine learning and deep leaning …
agricultural output and to assess how well AI-based machine learning and deep leaning …
Extraction of Facial Features using an Efficient Convolution Siamese Network on Customized Dataset
In recent years, one of the best applications of visual analysis and understanding that has
drawn a lot of attention is face recognition. Due to its numerous uses in areas including …
drawn a lot of attention is face recognition. Due to its numerous uses in areas including …
How does social media knowledge help in combating fake news? Testing a structural equation model
Y Mi, OD Apuke - Thinking Skills and Creativity, 2024 - Elsevier
To counter the spread of fake news among social media users in Nigeria, this study
modelled the moderating function of social media knowledge. To collect responses from …
modelled the moderating function of social media knowledge. To collect responses from …
Modelling the information abundance factors that predict fake news sharing behaviour of social media users: Testing the moderating role of resilience
Fake news is widely shared on social media platforms, and while the literature is expanding,
study into the motivations behind such sharing has not yet provided many answers. Drawing …
study into the motivations behind such sharing has not yet provided many answers. Drawing …
Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
Linguistic Features and Bi-LSTM for Identification of Fake News
With the spread of Internet technologies, the use of social media has increased
exponentially. Although social media has many benefits, it has become the primary source …
exponentially. Although social media has many benefits, it has become the primary source …