Computer Science & Engineering: Recent submissions
Now showing items 481-500 of 2402
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Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.
( Future Medicine , 2023 , Article)This study aims to perform an external validation of a recently developed prognostic model for early prediction of the risk of progression to severe COVID-19. Patients were recruited at their initial diagnosis at two ... -
PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing imperfections in the imaging device. The PRNU is a unique noise for each sensor device, and it has been generally utilized in the literature ... -
Machine Learning Methods for Dysgraphia Screening with Online Handwriting Features
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Dysgraphia, a major learning disorder that primarily interferes with writing skills can hinder the academic track of children unless recognized in the early stage. The diversity in the symptoms, as well as the emergence ... -
Edge Detection with multi-scale representation and refined Network
( Institution of Engineering and Technology , 2022 , Conference Paper)Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge ... -
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ... -
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
( Elsevier , 2023 , Article)Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in children can negatively impact ... -
Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone
( Elsevier , 2024 , Article)Over the last decade, videos uploaded and shared through web-based multimedia platforms and mobile applications have proliferated worldwide. This is because cloud-based applications such as iCloud, YouTube, Facebook, ... -
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
( Elsevier , 2023 , Article)Dysgraphia is a type of learning disorder that affects children’s writing skills. Poor writing skills can obstruct students’ academic growth if it is undiagnosed and untreated properly in the early stages. The irregularity ... -
AraFacts: The First Large Arabic Dataset of Naturally-Occurring Professionally-Verified Claims
( Association for Computational Linguistics (ACL) , 2021 , Conference Paper)We introduce AraFacts, the first large Arabic dataset of naturally-occurring claims collected from 5 Arabic fact-checking websites, e.g., Fatabyyano and Misbar, covering claims since 2016. Our dataset consists of 6,222 ... -
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
( MDPI , 2021 , Article)Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. In addition to their useful applications, an alarming ... -
Did I See It Before? Detecting Previously-Checked Claims over Twitter
( springer link , 2022 , Conference Paper)With the proliferation of fake news in the last few years, especially during the COVID-19 period, combating the spread of misinformation has become an urgent need. Although automated fact-checking systems were proposed ... -
Detecting Users Prone to Spread Fake News on Arabic Twitter
( European Language Resources Association , 2022 , Conference Paper)The spread of misinformation has become a major concern to our society, and social media is one of its main culprits. Evidently, health misinformation related to vaccinations has slowed down global efforts to fight the ... -
Energy Theft Detection Using the Wasserstein Distance on Residuals
( IEEE Explore , 2023 , Conference Paper)Detection of electricity theft improves the sustainability of the smart grid, helps electrical utilities mitigate their financial risks, and improves the overall management of resources. In this work, we utilize an LSTM ... -
Using Context Specific Generative Adversarial Networks for Audio Data Completion
( IEEE Explore , 2023 , Conference Paper)Audio quality plays an essential role in several applications ranging from music to voice conversations. Sound information is subject to quality loss caused by reasons such as intermittent network connections, or storage ... -
This is not new! Spotting previously-verified claims over Twitter
( Elsevier , 2023 , Article)Several fake claims are commonly repeated over time, especially on social media. To identify such previous claims, the verified claim retrieval task was studied, where, for a given input claim, the goal is to find ... -
Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification
( Association for Computing Machinery, Inc , 2023 , Conference Paper)Over the past years, notable progress has been made towards fighting misinformation spread over social media, encouraging the development of many fact-checking systems. However, systems that operate over Arabic content are ... -
Detection of challenging behaviours of children with autism using wearable sensors during interactions with social robots
( IEEE Explore , 2021 , Conference Paper)Autism spectrum disorder is a neurodevelopmental disorder that is characterized by patterns of behaviours and difficulties with social communication and interaction. Children on the spectrum exhibit atypical, restricted, ... -
Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions
( MDPI , 2023 , Article)Children with autism face challenges in various skills (e.g., communication and social) and they exhibit challenging behaviours. These challenging behaviours represent a challenge to their families, therapists, and caregivers, ... -
A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound
( MDPI , 2023 , Article)Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can be used for continuous monitoring of blood flow in the brain through the major cerebral arteries by calculating the cerebral blood flow ... -
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
( MDPI , 2023 , Article Review)The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ...
