Computer Science & Engineering: Recent submissions
Now showing items 561-580 of 2402
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Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors
( Elsevier , 2022 , Article)Retinal images acquired using fundus cameras are often visually blurred due to imperfect imaging conditions, refractive medium turbidity, and motion blur. In addition, ocular diseases such as the presence of cataracts also ... -
Making federated learning robust to adversarial attacks by learning data and model association
( Elsevier , 2022 , Article)One of the key challenges in federated learning (FL) is the detection of malicious parameter updates. In a typical FL setup, the presence of malicious client(s) can potentially demolish the overall training of the shared ... -
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
( Elsevier , 2023 , Article Review)There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ... -
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula
( AI Access Foundation , 2022 , Article)The domain of Artificial Intelligence (AI) ethics is not new, with discussions going back at least 40 years. Teaching the principles and requirements of ethical AI to students is considered an essential part of this domain, ... -
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
( Elsevier , 2022 , Article Review)Internet of Medical Things (IoMT) supports traditional healthcare systems by providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It enables the development of smart hardware as ... -
Generative emotional AI for speech emotion recognition: The case for synthetic emotional speech augmentation
( Elsevier , 2023 , Article)Despite advances in deep learning, current state-of-the-art speech emotion recognition (SER) systems still have poor performance due to a lack of speech emotion datasets. This paper proposes augmenting SER systems with ... -
Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
( Taylor & Francis , 2022 , Article)Cyberattacks are becoming more and more intense in the banking industry (Ryzhkova et al. 2020). Banking industry is trying to adopt artificial intelligence to create cyber defence system so that the unauthorized access and ... -
A shift to green cybersecurity sustainability development: Using triple bottom-line sustainability assessment in Qatar transportation sector
( Taylor & Francis , 2023 , Article)Green cybersecurity is the emerging trend in the new era and this green cybersecurity technology minimizes the negative effects of IT operations and implements a green sustainable environment. Therefore, the study conceptually ... -
Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and ... -
Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM
( Elsevier , 2022 , Article)Transport of fine particles in porous media has attracted a considerable interest over the past several decades given its importance to many industrial and natural processes. In order to control fine particles transport ... -
Region of Interest Optimization for Delay-sensitive Telemedicine Applications
( IEEE , 2022 , Conference Paper)Telemedicine is a rising technology that is gaining a lot of interest in the recent decades. Several applications of telemedicine are delay-sensitive and need to be operated in real-time. One of which is surgical tele-mentoring ... -
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT
( IEEE , 2022 , Conference Paper)With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such requirements demand fast-acting ... -
MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems
( IEEE , 2021 , Conference Paper)The Internet of Medical Things (IoMT) couples the rapid growth of Internet of things (IoT) technologies with smart health systems, leveraging wireless battery-operated devices for remote health monitoring. Since 2019, a ... -
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning
(2022 , Conference Paper)The extremely heavy global reliance on IoT devices is causing enormous amounts of data to be gathered and shared in IoT networks. Such data need to efficiently be used in training and deploying of powerful artificially ... -
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
(2022 , Conference Paper)From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ... -
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
( IEEE , 2022 , Conference Paper)From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ... -
Incentive-based Resource Allocation for Mobile Edge Learning
( IEEE , 2022 , Conference Paper)Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ... -
Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks
( IEEE , 2022 , Conference Paper)Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ... -
On the Modeling of Reliability in Extreme Edge Computing Systems
( IEEE , 2022 , Conference Paper)Extreme edge computing (EEC) refers to the end-most part of edge computing wherein computational tasks and edge services are deployed only on extreme edge devices (EEDs). EEDs are consumer or user-owned devices that offer ... -
Student Attitudes and Interests in STEM in Qatar through the Lens of the Social Cognitive Theory
( MDPI , 2023 , Article)STEM (science, technology, engineering, and math) has taken center stage as a priority policy agenda for Qatar’s leadership. At present, STEM stands as a fundamental catalyst for Qatar’s sustainable economic, environmental, ...
