Qatar University Institutional Repository
The top service priorities of QSpace are to collect materials originating from faculty, students, and guests of Qatar University, provide necessary metadata to fulfill a complete bibliographic record, provide open access full-text content to everyone, and preserve content in a secure format for long-term continued access.
Sub-communities within this community
-
Academic [30514 items ]
-
COVID-19 Research [849 items ]
-
FIFA World Cup Qatar 2022 [164 items ]
-
Qatar Blockade [892 items ]
Recent Submissions
-
Cryptocurrency Market Volatility and Forecasting: A Comparative Analysis of Modern Machine Learning Models for Cryptocurrencies Predicting Accuracy
( World Scientific , 2024 , Article)Cryptocurrency (CRP) has grown in popularity over the last decade. Since there is no central body to control the Bitcoin (BTC) markets, they are extremely volatile. However, several similar variables that cause price ... -
Avatar Privacy Challenges in the Metaverse: A Comprehensive Review and Future Directions
( Taylor and Francis Ltd. , 2025 , Article)The concept of the Metaverse has sparked great interest as a futuristic virtual space that provides immersive experiences and social interactions through digital avatars. However, using avatars in the Metaverse raises ... -
Perceptions of Engineering College Instructors and Their Students Towards Generative Artificial Intelligence (GenAI) Tools: A Preliminary Qualitative Analysis
( American Society for Engineering Education , 2024 , Conference paper)GenAI tools, such as ChatGPT, have gained significant traction in engineering colleges and are revolutionizing how students approach each assignment and project. However, integrating them into the education system introduces ... -
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
( IEEE , 2024 , Article)Deep neural networks (DNNs) have been the driving force behind many of the recent advances in machine learning. However, research has shown that DNNs are vulnerable to adversarial examples - input samples that have been ... -
ChatGPT and Large Language Models in Healthcare: Opportunities and Risks
( IEEE , 2023 , Conference paper)ChatGPT, a pre-Trained large language model (LLM), has the potential to transform healthcare by providing valid clinical insights and reducing doctors' workload. There are already signs that such tools can be useful for ... -
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
( IEEE , 2024 , Article)This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring autonomous vehicle (AV) user comfort and ... -
AI in higher education: unveiling academicians' perspectives on teaching, research, and ethics in the age of ChatGPT
( Routledge , 2025 , Article)This study examines the potentials and challenges of integrating conversational AI (Artificial Intelligence) tools in higher education. Specifically, the study delves into how ChatGPT is reshaping teaching, learning, ... -
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
( IEEE , 2023 , Conference paper)Recent advancements in technology, particularly in machine learning (ML), deep learning (DL), and the metaverse, offer great potential for revolutionizing surgical science. The combination of artificial intelligence and ... -
Robotics Primer for Independent Learners: Background, Curriculum, Resources, and Tips
( IEEE , 2023 , Conference paper)This paper presents a primer for learners interested in self-study of robotics, a multidisciplinary field that involves the design, construction, and operation of robots having wide-ranging applications in industries such ... -
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
( IEEE , 2023 , Conference paper)Engineering education is constantly evolving to keep up with the latest technological developments and meet the changing needs of the engineering industry. One promising development in this field is the use of generative ... -
AI Generated Content in the Metaverse: Risks and Mitigation Strategies
( IEEE , 2023 , Conference paper)The Metaverse has introduced a vast virtual environment where Artificial Intelligence Generated Content (AIGC) plays a crucial role in content creation. However, the increasing popularity of AIGC has raised concerns regarding ... -
Generative artificial intelligence and engineering education
( John Wiley and Sons Inc , 2023 , Article)The recent popularity of generative AI (GAI) applications such as ChatGPT portend a new era of research, teaching, and learning across domains, including in engineering (Bubeck et al., 2023; Kasneci et al., 2023; Lo, 2023; ... -
Deep Reinforcement Learning for Autonomous Navigation on Duckietown Platform: Evaluation of Adversarial Robustness
( IEEE , 2023 , Conference paper)Self-driving cars have gained widespread attention in recent years due to their potential to revolutionize the transportation industry. However, their success critically depends on the ability of reinforcement learning ... -
VisualAid+: Assistive System for Visually Impaired with TinyML Enhanced Object Detection and Scene Narration
( IEEE , 2023 , Conference paper)People with visual impairments use different kinds of assistive technologies in their daily lives for various activities such as navigation, reading texts, etc. Technological advancements in recent years have enabled ... -
Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis
( IEEE , 2024 , Conference paper)Machine learning (ML) models are becoming integral in healthcare technologies, necessitating formal assurance methods to ensure their safety, fairness, robustness, and trustworthiness. However, these models are inherently ... -
Energy-aware Theft Detection based on IoT Energy Consumption Data
( IEEE , 2023 , Conference paper)With the advent of modern smart grid networks, advanced metering infrastructure provides real-time information from smart meters (SM) and sensors to energy companies and consumers. The smart grid is indeed a paradigm that ... -
SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection
( IEEE , 2023 , Conference paper)In recent times, surgical data science has emerged as an important research discipline in interventional healthcare. There are many potential applications for analysing endoscopic surgical videos using machine learning ... -
Learning 101 reloaded: Revisiting the basics for the GenAI era
( IEEE , 2024 , Article)In this paper, we delve into the transformative landscape of education amidst the disruptive advances of generative AI (GenAI), characterized by an unprecedented capacity to generate new information with tools such as ... -
Revolutionizing Healthcare with Foundation AI Models
( IOS Press BV , 2023 , Conference paper)ChatGPT is a foundation Artificial Intelligence (AI) model that has opened up new opportunities in digital healthcare. Particularly, it can serve as a co-pilot tool for doctors in the interpretation, summarization, and ... -
Robust multi-label surgical tool classification in noisy endoscopic videos
( Nature Research , 2025 , Article)Over the past few years, surgical data science has attracted substantial interest from the machine learning (ML) community. Various studies have demonstrated the efficacy of emerging ML techniques in analysing surgical ...