Automatic detection of students’ engagement during online learning: A bagging ensemble deep learning approach

 The COVID-19 pandemic has reshaped education and shifted learning from in-person to online. While this shift offers advantages such as liberating the learning process from time and space constraints and enabling education to occur anywhere and anytime, a challenge lies in detecting student engagement during online learning due to limited interactio...

students engagement online learning deep learning Student online learning system online class training

ETHICAL ISSUES IN COMPUTER AS AN INSTUMENT TO TECHNOLOGY GROWTH

 The recent technological advancement in digital computers has provided a more robust computer based operations in modern industrial society, including manufacturing, transport and distribution, government, the military, health services, education and research. This impact of modern digital computers as an irreplaceable tool for technological grow...

Ethical Problems in Computing ETHICAL ISSUES IN COMPUTER Ethical dilemmas in computer science Computer Ethical Issues Ethical challenges in computer science

DESIGN AND IMPLEMENTATION OF A WEB-BASED SYSTEM FOR DISTANCE-LEARNING (CASE STUDY OF NOUN UNIVERSITY)

 this project is to design a Web-based distance learning system, where instructors and students can participate fully in distance learning activities while geographically separated from each other. This project is aimed to design and implement a distance learning system and use internet as the delivery mode.  This report discusses in detail backgr...

WEB-BASED SYSTEM WEB-BASED SYSTEM FOR DISTANCE-LEARNING E-Learning System Online Learning System online Learning Managment

UNDERSTANDING DEPTH OF REFLECTIVE WRITING IN WORKPLACE LEARNINGASSESSMENTS USING MACHINE LEARNING CLASSIFICATION

 The collapse of Dam I, owned by Vale S.A, in Brumadinho-MG (Brazil), among other serious socioenvironmental consequences, contaminated the waters of the Paraopeba River in a stretch of hundreds of kilometers. Considering the relevance of monitoring water quality, and knowing that field evaluation is a time-consuming and costly procedure, the use of...

MACHINE LEARNING UNDERSTANDING DEPTH

UNDERSTANDING DEPTH OF REFLECTIVE WRITING IN WORKPLACE LEARNINGASSESSMENTS USING MACHINE LEARNING CLASSIFICATION

 The collapse of Dam I, owned by Vale S.A, in Brumadinho-MG (Brazil), among other serious socioenvironmental consequences, contaminated the waters of the Paraopeba River in a stretch of hundreds of kilometers. Considering the relevance of monitoring water quality, and knowing that field evaluation is a time-consuming and costly procedure, the use of...

MACHINE LEARNING UNDERSTANDING DEPTH

AI BASED STROKE DISEASES PREDICTION

 Since stroke disease often causes death or serious disability, active primary prevention and early detection of prognostic symptoms are very important. Stroke diseases can be divided into ischemic stroke and hemorrhagic stroke, and they should be minimized by emergency treatment such as thrombolytic or coagulant administration by type. First, it is...

IFC-BD An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data

 In current Data Science applications, the course of action has derived to adapt the system behavior for the human cognition, resulting in the emerging area of explainable artificial intelligence. Among different classification paradigms, those based on fuzzy rules are suitable solutions to stress the interpretability of the global systems. However,...

A Cyber-Physical Anomaly Detection for Wide-Area Protection using Machine Learning

 Wide-area protection scheme (WAPS) provides system-wide protection by detecting and mitigating small and large-scale disturbances that are difficult to resolve using local protection schemes. As this protection scheme is evolving from a substation-based distributed remedial action scheme (DRAS) to the control center-based centralized RAS (CRAS), it...

Tailoring the Engineering Design Process Through Data and Process Mining

 Engineering changes (ECs) are new product devel-opment activities addressing external or internal challenges, suchas market demand, governmental regulations, and competitivereasons. The corresponding EC processes, although perceived asstandard, can be very complex and inefficient. There seem to besignificant differences between what is the “officia...