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 

In recent years, Convolutional Neural Network (CNN), as a deep learning algorithm, has been widely used in many fields such as computer vision and speech recognition. In the field of geological exploration, CNN has also made great progress. This paper reviews the latest research progress of CNN in the field of geological exploration, and focuses on the application of CNN in logging and seismic exploration. We first introduce the basic principles of CNN, then introduce the specific applications o...

Artificial Intelligence  Petrochemistry 

Crime is a serious social problem, which affects the improvement of the quality of life and the development of social economy. Under the background of the information age, how to effectively use the collected large amount of crime data to analyze and predict crime is particularly important. Data-mining can extract implicit, unknown and potentially valuable information from a large number of original data. This paper studies how to use data-mining to analyze the intelligence value behind massive ...

Artificial Intelligence  Big Data Search and Mining  Criminology 

Online learning has become the most important mode of lifelong learning and one of the important directions of education transformation. Online learning needs the support of digital resources. The digital learning resource library is an important part of the new infrastructure of education in the digital era, which plays an important role in supporting online education, promoting the reform and transformation of education digitalization, and promoting the construction of the lifelong education s...

Artificial Intelligence  E-Learning and Knowledge Management 

This paper concluded that parallel storage similar to the human brain must have the following characteristics: 1) The connection mode of its information storage is scattered and parallel. 2) The operating pattern of this system must be similar to that of the nervous system for memory, facilitation, and recall. Because of this similarity, we can “borrow” some concepts from neuroscience to describe Advanced intelligent basic programming the attributes of parallel storage systems. 3) The excitation...

Artificial Intelligence 

With the rapid popularization of machine translation, there are always differences between machine translation and human translation, and there are also many differences between machine translation softwares. This paper first analyzes the advantages and disadvantages of AI translation through the comparison of different types of human-machine translation examples, and then through the comparison of examples, this paper analyzes and compares two widely used machine translation softwares—Baidu tra...

Artificial Intelligence  Linguistics