Computer Science & Engineering: Recent submissions
Now showing items 561-580 of 2427
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Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)The Uniaxial Compressive Strength (UCS) is an essential parameter in various fields (e.g., civil engineering, geotechnical engineering, mechanical engineering, and material sciences). Indeed, the determination of UCS in ... -
Blockchain Technology Adoption in the State of Qatar : Qualitative Risk Analysis
( Qatar University Press , 2023 , Conference)Businesses may gain from implementing Blockchain-based technology in terms of profitability, productivity, and efficiency, which may cause them to re-evaluate their current business strategies. However, because the technology ... -
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 ... -
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 ... -
Arabic natural language processing for Qur'anic research: a systematic review
( Springer Nature , 2023 , Article)The Qur'an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained ... -
Smart Cities from the Perspective of Systems
( MDPI , 2022 , Article)Modern cities are complex adaptive systems in which there is a lot of dependency and interaction between the various stakeholders, components, and subsystems. The use of digital Information and Communications Technology ... -
Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System
( MDPI , 2022 , Article)Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a common approach to smart city solutions that ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ...
