Computer Science & Engineering: Recent submissions
Now showing items 581-600 of 2427
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Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
( Elsevier , 2023 , Article Review)In recent years, the healthcare industry has faced new challenges around staffing, human interaction, and the adoption of telehealth. Technological innovations can improve efficiency, productivity, and patient outcomes, ... -
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 ... -
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
( IEEE Computer Society , 2023 , Article)In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems, often surpassing the performance provided by ... -
Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
( JMIR Publications Inc. , 2022 , Article Review)Background: Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. To this aim, several mobile apps have been developed. However, there are ever-growing concerns over the working ... -
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ... -
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ... -
A Holistic Education for the 21st Century Engineer Based on Wisdom and Multiplexity
( IOS Press BV , 2022 , Conference)In a volatile, uncertain, complex, and ambiguous (VUCA) 21st-century world, there is a great need for drawing upon capacity for holistic thinking and wisdom. We need to leverage multiple transdisciplinary thinking that ... -
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
( Elsevier , 2022 , Article Review)As the globally increasing population drives rapid urbanization in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In particular, as modern smart cities embrace ... -
Toward accountable human-centered AI: rationale and promising directions
( Emerald Group Holdings Ltd. , 2022 , Article Review)Purpose: Along with the various beneficial uses of artificial intelligence (AI), there are various unsavory concomitants including the inscrutability of AI tools (and the opaqueness of their mechanisms), the fragility of ... -
Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The incorporation of advanced networking technologies makes modern systems vulnerable to cyber-attacks that can result in a number of harmful outcomes. Due to the increase of security incidents and massive activities on ... -
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ... -
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 ... -
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 ... -
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 ... -
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, ... -
Region of Interest Optimization for Delay-sensitive Telemedicine Applications
( IEEE , 2022 , Conference)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 ... -
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning
(2022 , Conference)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 ... -
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT
( IEEE , 2022 , Conference)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 ... -
On the Modeling of Reliability in Extreme Edge Computing Systems
( IEEE , 2022 , Conference)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 ...
