السجلات المعروضة 41 -- 60 من 2262

    • The similarity-aware relational database set operators 

      Al Marri, Wadha J.; Malluhi, Qutaibah; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Elsevier , 2016 , Article)
      Identifying similarities in large datasets is an essential operation in several applications such as bioinformatics, pattern recognition, and data integration. To make a relational database management system similarity-aware, ...
    • Enclave-based oblivious RAM using Intel's SGX 

      Rachid, Maan Haj; Riley, Ryan; Malluhi, Qutaibah ( Elsevier , 2020 , Article)
      Oblivious RAM (ORAM) schemes exist in order to protect the access pattern of data in a data store. Under an ORAM algorithm, a client accesses a data store in such a way that does not reveal which item it is interested in. ...
    • Efficient sanitization of unsafe data correlations 

      AL Bouna, Bechara; Clifton, Chris; Malluhi, Qutaibah ( CEUR-WS , 2015 , Conference Paper)
      In this paper, we present a study to counter privacy violation due to unsafe data correlation. We propose a safe correlation requirement to keep correlated values bounded by l-diversity and evaluate the trade-off to be ...
    • Predicting emergency department utilization among children with asthma using deep learning models 

      AlSaad, Rawan; Malluhi, Qutaibah; Janahi, Ibrahim; Boughorbel, Sabri ( Elsevier , 2022 , Article)
      Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ...
    • Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation 

      AlSaad, Rawan; Malluhi, Qutaibah; Abd-alrazaq, Alaa; Boughorbel, Sabri ( Elsevier , 2024 , Article)
      Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. Most existing ...
    • Updating outsourced anatomized private databases 

      Nergiz, Ahmet Erhan; Clifton, Chris; Malluhi, Qutaibah M. ( Association for Computing Machinery , 2013 , Conference Paper)
      We introduce operations to safely update an anatomized database. The result is a database where the view of the server satisfies standards such as k-anonymity or l-diversity, but the client is able to query and modify the ...
    • Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy 

      Mohammadi, Maryam; Sabry, Farida; Labda, Wadha; Malluhi, Qutaibah ( Association for Computing Machinery, Inc , 2023 , Conference Paper)
      Fingerprint recognition is a widely adopted biometric authentication method that leverages the unique characteristics of fingerprints to identify individuals. Its applications range from access control and authentication ...
    • PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks 

      AlSaad, Rawan; Malluhi, Qutaibah; Boughorbel, Sabri ( BioMed Central Ltd , 2022 , Article)
      Background: Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive ...
    • LocationSpark: A distributed in-memory data management system for big spatial data 

      Tang, Mingjie; Yu, Yongyang; Malluhi, Qutaibah M.; Ouzzani, Mourad; Aref, Walid G. ( VLDB Endowment , 2015 , Conference Paper)
      We present LocationSpark, a spatial data processing system built on top of Apache Spark, a widely used distributed data processing system. LocationSpark offers a rich set of spatial query operators, e.g., range search, ...
    • Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology 

      Shehab, Muhammad; Elsayed, Mohamed; Almohamad, Abdullateef; Badawy, Ahmed; Khattab, Tamer; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      We explore THz communication uplink multi-access with multi-hop Intelligent reflecting surfaces (IRSs) under correlated channels. Our aims are twofold: 1) enhancing the data rate of a desired user while dealing with ...
    • QU-GM: An IoT Based Glucose Monitoring System from Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning 

      Nazmul Islam Shuzan, Md; Hossain Chowdhury, Moajjem; Chowdhury, Muhammad E. H.; Abualsaud, Khalid; Yaacoub, Elias; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      Patients with hyperglycemia require routine glucose monitoring to effectively treat their condition. We have developed a lightweight wristband device to capture Photoplethysmography (PPG) signals. We collected PPG signals, ...
    • LWKPCA: A New Robust Method for Face Recognition Under Adverse Conditions 

      Maafiri, Ayyad; Bir-Jmel, Ahmed; Elharrouss, Omar; Khelifi, Fouad; Chougdali, Khalid ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Article)
      Over the last two decades, face recognition (FR) has become one of the most prevailing biometric applications for effective people identification as it offers practical advantages over other biometric modalities. However, ...
    • An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images 

      Elharrouss, Omar; Subramanian, Nandhini; Al-Maadeed, Somaya ( Springer Nature , 2021 , Article)
      The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ...
    • Attention-based Network for Image/Video Salient Object Detection 

      Elharrouss, Omar; Elkaitouni, Soukaina El Idrissi; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed (2023 , Article)
      The goal of video or image salient object detection is to identify the most important object in the scene, which can be helpful in many computer vision-based tasks. As the human vision framework has a successful capacity ...
    • Multi-scale-based Network for Image Dehazing 

      Araji, Chaza; Zahra, Ayaa; Alinsari, Leen; Al-Aloosi, Maryam; Elharrouss, Omar; ... more authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)
      Image and video dehazing is a difficult subject that has received a lot of attention in the field of computer vision. The presence of air haze in photos and movies can reduce visual quality dramatically, resulting in a ...
    • Face Anti-Spoofing Detection Using Structure-Texture Decomposition 

      Douglas, Dareen; Ben Hassen, Nada; Aslam, Asmaa; Elharrouss, Omar; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)
      A key area in computer vision and biometric authentication systems is detecting and classifying face anti-spoofing. The novel method for face anti-spoofing presented in this paper focuses on color invariant methods. The ...
    • A Survey on Diabetic Retinopathy Lesion Detection and Segmentation 

      Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
      Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not detected and treated on time. The ...
    • Enhanced computer vision applications with blockchain: A review of applications and opportunities 

      Najmath, Ottakath; Al-Ali, Abdulla; Al-Maadeed, Somaya; Elharrouss, Omar; Mohamed, Amr ( Elsevier , 2023 , Article)
      Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable ...
    • A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques 

      Akbari, Younes; Al-Binali, Abdulaziz; Al-Mohannadi, Ali; Al-Hemaidi, Nawaf; Elharrouss, Omar; ... more authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
      By integrating IoT technology, smart door locks can provide greater convenience, security, and remote access. This paper presents a novel framework for smart doors that combines face detection and recognition techniques ...
    • GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation 

      Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
      Most diabetes patients develop a condition known as diabetic retinopathy after having diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur behind the retina, which can even progress to a ...