In order to thoroughly implement the Opinions on Promoting the High Quality Development of Modern Vocational Education issued by the General Office of the State Council, optimize teaching modes and improve teaching methods. The paper integrates Professor Keller’s ARCS motivation model and constructs a gamified teaching model that incorporates ARCS motivation strategies based on gamified teaching. The paper mainly introduces the selection characteristics of gamified platforms, the correct use of ...

Artificial Intelligence  Game Design  Applications of Communication Systems  Information Science 

This paper represents a groundbreaking advancement in Parkinson’s disease (PD) research by employing a novel machine learning framework to categorize PD into distinct subtypes and predict its progression. Utilizing a comprehensive dataset encompassing both clinical and neurological parameters, the research applies advanced supervised and unsupervised learning techniques. This innovative approach enables the identification of subtle, yet critical, patterns in PD manifestation, which traditional m...

Artificial Intelligence  Neurology  Technology  Machine Learning 

In the contemporary era, artificial intelligence (AI) has introduced transformative advancements that have significant implications for society. Nevertheless, these advancements come with challenges, notably those associated with opacity, vulnerability, and interpretability. The integration of artificial intelligence (AI) systems into various aspects of human life has become increasingly pervasive. Consequently, there is a growing need to prioritize the development of trustworthy and explainable...

Artificial Intelligence  Information Science 

Human trafficking is the world’s most prevalent and growing crime. Law enforcement agencies have been faced with a lot of challenges worldwide in this area. Over the years different works of literature have tried to sort out methods and techniques for detecting and controlling human trafficking by making use of different types of data available. In this research, an EfficientNet model was developed to help in the detection of human trafficking cases, by classifying an image into a class of chain...

Artificial Intelligence  Computer Vision  Image Processing  Machine Learning 

Robots are increasingly becoming an important part of older people’s lives as they bring many benefits. However, it is not clear in current research whether older people’s attitudes toward robots are influenced by the robot type. What are the general attitudes of older people toward personal robots and what are the relationships between older people’s general attitudes to robots and attitudes to particular personal robot types? This study recruited 126 older people over the age of 65 from the UK...

Artificial Intelligence  Computational Robotics 

The question relating to the Detection and Prediction of human behavior using Artificial Intelligence tools is the main focus of our research. More specifically, we have studied the link between emotion and human behavior in order to model an artificial intelligence that is not only capable of detecting but also, and above all, predicting human behavior. Predicting what someone is about to do next based on their body language is natural for humans, but not for computers. When we meet another per...

Artificial Intelligence  Sociology  Psychology  Machine Learning 

Machine learning systems have found extensive applications as auxiliary tools in domains that necessitate critical decision-making, such as healthcare and criminal justice. The interpretability of these systems’ decisions is of paramount importance to instill trust among users. Recently, there have been developments in globally-consistent rule-based summary-explanation and its max-support (MSGC) problem, enabling the provision of explanations for specific decisions along with pertinent dataset s...

Artificial Intelligence  Big Data Search and Mining  Complex network models 

Recommender systems are currently applied in many fields. They try to provide users with recommendation services based on their personalized preferences to reduce the ever increasing amount of information online. With the number of mobile phone users growing exponentially, travel guides have become an increasingly important search tool in recent years. Of course, we are not and will not be the first to implement a prototype to offer recommendations to users (tourists). Our particularity and/or n...

Artificial Intelligence 

The study constructed an estimation of the significance of driving factors that influence artificial intelligence (AI) adoption and implementation in the public sector, and accentuated a critical research area that is currently understudied. A theoretical framework, underpinned by the diffusion of innovation (DOI) theory, was developed from a mingling of the technology, organization, and environment (TOE) framework and the human, organisation, and technology (HOT) fit model. The best-worst metho...

Artificial Intelligence  Business Management 

Globally, the advent of new cases of cancer has been steadily increasing, with rising mortality and a significant impact on the economy. Most malignancy outcomes are linked to early detection, prompt diagnosis, and treatment. The need for early detection is crucial to cancer management. With these increasing numbers, there is a need for the adoption of emerging technologies such as machine learning to help improve the outcome of cancer management. For these reasons, in this paper, we reviewed th...

Artificial Intelligence  Biological Engineering  Computational Biology  Oncology  Image Processing  Bioengineering  Machine Learning