Sentiment Analysis is used in Natural Language processing to detect the opinion of the text/sentence put in by the user. A lot of challenges are faced while detecting the sentiment and one of them is the presence of ...

In this modern era of bleeding-edge technologies, information creation, sharing and consumption are rising at an exponential rate. In the same vein, there has been a continued increase in the amount of research is are being ...

One of the most significant research areas in education and Artificial Intelligence (AI) is the earlier prediction of students’ academic achievement. Limited studies have been conducted using Deep Learning (DL) in the ...

Nowadays, with the high volume of captured data in computer networks the anomaly detection has become one of the main challenges. To deal with this some works have used machine learning algorithms and feature selection ...

Access control (AC) systems play a critical role in safeguarding sensitive data and resources. With the rise of complex and dynamic environments, human-driven solutions may be prone to errors, biases, and inconsistencies. ...

High-impedance fault (HIF) detection is crucial for maintaining the reliability and resiliency of microgrid systems. This research presents an adaptive machine learning approach to enhance HIF detection and improve ...

The liver is a crucial and big organ in the human body, impacts the digestion system. Due to Liver diseases (LDs), so many deaths are occurred in worldwide that nearly 2 million deaths per year. The main LD complications ...

This paper presents a dedicated machine learning model to predict the number of cases infected by the Corona Virus; the case of Morocco was chosen to validate this study. Completely realized in Spark ML with the 'Scala' ...

Efficient mapping of buried utilities requires vital subsurface imaging. However, traditional galvanic dipole antennas suffer from current leakage due to suboptimal geometry and necessitate destructive borehole methods. ...

Computer systems must respond to frequently changing user needs. These increasingly large and complex systems are difficult to maintain. A change in a business process is a difficult task especially if the process is ...