<p style='text-indent:20px;'>With the rise of COVID-19 pandemic and its inevitable consequences in education, increased demand for robust online learning frameworks has occurred at all levels education system. Given transformative power Artificial Intelligence (AI) machine algorithms, there have been determined attempts through design application intelligent tools to overcome existing cha...

background : learning in a clinical environment is an inseparable part of a training program in medical education. to evaluate the quality of training in a clinical environment, a comprehensive questionnaire which is adjusted for local purposes is essential. this study was conducted to determine the validity and reliability of activities coaching context (acc)-questionnaire from the perspective...

The application of machine learning tools has shown its advantages in medical aided decision. This paper presents the implementation of three supervised learning algorithms: the C4.5 decision tree classi er, the Support Vector Machines (SVM) and the Multilayer Perceptron MLP's in MATLAB environment, on the preoperative assessment database. The classi cation models were trained using a new datab...

This paper introduces a novel Q-value based adaptive call admission control scheme (Q-CAC) for distributed reinforcement learning (RL) based dynamic spectrum access (DSA) in mobile cellular networks, which provides a good quality of service (QoS) without the need for spectrum sensing. A DSA algorithm has been developed in this paper using the stateless Q-learning algorithm with Win-or-Learn-Fas...

People in the modern era spend most of their lives virtual environments that offer a range public and private services social platforms. Therefore, these need to be protected from cyber attackers can steal data or disrupt systems. Cybersecurity refers collection technical, organizational, executive means for preventing unauthorized use misuse electronic information communication systems ensure ...