Computer Science & Engineering: Recent submissions
Now showing items 541-560 of 2402
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Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation
( MDPI , 2023 , Article)Brain tumors are among the deadliest forms of cancer, characterized by abnormal proliferation of brain cells. While early identification of brain tumors can greatly aid in their therapy, the process of manual segmentation ... -
An active learning method for diabetic retinopathy classification with uncertainty quantification
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)In recent years, deep learning (DL) techniques have provided state-of-the-art performance in medical imaging. However, good quality (annotated) medical data is in general hard to find due to the usually high cost of medical ... -
A deep dive into COVID-19-related messages on WhatsApp in Pakistan
( Springer , 2022 , Article)The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, ... -
Fake visual content detection using two-stream convolutional neural networks
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Rapid progress in adversarial learning has enabled the generation of realistic-looking fake visual content. To distinguish between fake and real visual content, several detection techniques have been proposed. The performance ... -
Tamp-X: Attacking explainable natural language classifiers through tampered activations
( Elsevier , 2022 , Article)While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs ... -
Quantum Computing for Healthcare: A Review
( MDPI , 2023 , Article Review)In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ... -
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 ... -
Developing smart city services using intent-aware recommendation systems: A survey
( John Wiley and Sons Inc , 2023 , Article)Smart cities could be defined as urban areas that use Information and Communication Technology (ICT) to solve city problems in efficient and sustainable ways. Intent-aware Recommender Systems (IARS) within ICT play a crucial ... -
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 ... -
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 Paper)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 ... -
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, ... -
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 ... -
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
( Elsevier , 2022 , Article Review)With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ... -
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
( Elsevier , 2023 , Article)The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. Since the success of AI is to be ... -
Artificial intelligence and sustainable development goals nexus via four vantage points
( Elsevier , 2023 , Article)Artificial Intelligence (AI) should aim at benefiting society, the economy, and the environment, i.e., AI should aim to be socially good. The UN-defined Sustainable Development Goals (SDGs) are the best depiction to measure ...
