• Artificial Intelligence Security in 5G Networks: Adversarial Examples for Estimating a Travel Time Task 

      Qiu, Jing; Du, Lei; Chen, Yuanyuan; Tian, Zhihong; Du, Xiaojiang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      With the rapid development of the Internet, the nextgeneration network (5G) has emerged. 5G can support a variety of new applications, such as the Internet of Things (IoT), virtual reality (VR), and the Internet of Vehicles. ...
    • Artificial intelligence-based classification of diabetic peripheral neuropathy from corneal confocal microscopy images 

      Salahouddin, Tooba; Petropoulos, Ioannis N.; Ferdousi, Maryam; Ponirakis, Georgios; Asghar, Omar; ... more authors ( American Diabetes Association Inc. , 2021 , Other)
      Diabetic peripheral neuropathy (DPN) is characterized by pain and sensory loss, affecting approximately 50% of patients. Early identification and risk factor management are key to limiting progression of DPN. In contrast ...
    • Assessing general education learning outcomes at Qatar University 

      Al-Thani, Shaikha Bint Jabor; Abdelmoneim, Ali; Cherif, Adel; Moukarzel, Dalal; Daoud, Khaled ( Emerald Group Publishing Ltd. , 2016 , Article)
      The purpose of this paper is to assess the effectiveness of a new general education program at Qatar University (QU) in achieving English writing and critical thinking outcomes. Design/methodology/approach Collegiate ...
    • Assessing Quality of Web Based Systems 

      Khan, Khaled M. ( IEEE , 2008 , Conference Paper)
      This paper proposes an assessment model for Web-based systems in terms of non-functional properties of the system. The proposed model consists of two stages: (i) deriving quality metrics using goal-question-metric (GQM) ...
    • Assisting individuals with autism and cognitive disorders: An augmented reality based framework 

      Abou El-Seoud, Samir; Halabi, Osam; Geroimenko, Vladimir (2019 , Article)
      Individuals with autism require systematic assistance while dealing with the surrounding environment and its objects. The project aim is to develop a framework that could be of substantial help to people with autism and ...
    • Assistive Telexistence System Using Motion Blending 

      Eltanbouly, S.; Abdel-Ghani, M.; Helmy, H.; Iskandar, A.; Al-Sada, M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Robotic avatar and telexistence systems have risen in prominence after the covid-19 pandemic, where current telecommunication methods are limited in terms of physical interaction abilities. Most existing systems focus on ...
    • Association rule mining on five years of motor vehicle crashes 

      Daher, Jean Raymond; Chilkaka, Satish; Younes, Abdunnaser; Shaban, Khaled ( EDP Sciences , 2016 , Conference Paper)
      Every year, road accidents kill more than a million people and injure more than 20 million worldwide. This paper aims to offer guidance on road safety and create awareness by pinpointing the major causes of traffic accidents. ...
    • Association rule mining on fragmented database 

      Hamzaoui, Amel; Malluhi, Qutaibah; Clifton, Chris; Riley, Ryan ( Springer , 2015 , Conference Paper)
      Anonymization methods are an important tool to protect privacy. The goal is to release data while preventing individuals from being identified. Most approaches generalize data, reducing the level of detail so that many ...
    • Asthma Assessment Device for Pediatric Patients: A Proof of Concept 

      Al-Ghafran, Muneera; Ahmadizadeh, Fatemeh; Al-Naimi, Asma; Abualsaud, Khalid; Yaacoub, Elias ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)
      Asthma is a common lung illness that causes breathing difficulties. It affects people of all ages and generally begins in childhood; however, it can also appear in adults for the first time. There is presently no cure, but ...
    • Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection 

      Sakib, Sadman; Fouda, Mostafa M.; Md Fadlullah, Zubair; Abualsaud, Khalid; Yaacoub, Elias; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      With the rapid elevation of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional cloud analytics-based approach is not suitable for a long time and secure health monitoring ...
    • Asynchronous flow scheduling for green ambient assisted living communications 

      Wu, Dan; Cai, Yuming; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      AAL applications that support users (in particular, the elderly and patients) in staying at home are increasingly becoming popular in health care systems. Basically, these AAL applications provide personal information ...
    • Attack Prediction Models for Cloud Intrusion Detection Systems 

      Kholidy, Hisham A.; Erradi, Abdelkarim; Abdelwahed, Sherif ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      In spite of the functional and economic benefits of the cloud-computing systems, they also expose entirely several attacks. Most of the current cloud security technologies do not provide early warnings about such attacks. ...
    • Attention-Based Model for Accurate Stance Detection 

      Hamad, Omama; Hamdi, Ali; Shaban, Khaled ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
    • 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 ...
    • Auction Design and Analysis for SDN-Based Traffic Offloading in Hybrid Satellite-Terrestrial Networks 

      Du J.; Jiang C.; Zhang H.; Ren Y.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      Recently, hybrid satellite-terrestrial networks (H-STNs) are expected to support extremely high data rates and exponentially increasing demands of data, which require new spectrum sharing and interference control technology ...
    • Auction-based relay power allocation: Pareto optimality, fairness, and convergence 

      Wu, Dan; Cai, Yuming; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)
      It is well known that a cooperative communication technique can offer significant energy saving improvements. In particular, the efficient relay resource allocation makes energy saving practically appealing. In this work, ...
    • Audio based drone detection and identification using deep learning 

      Al-Emadi, Sara; Al-Ali, Abdulla; Mohammad, Amr; Al-Ali, Abdulaziz ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      In recent years, unmanned aerial vehicles (UAVs) have become increasingly accessible to the public due to their high availability with affordable prices while being equipped with better technology. However, this raises a ...
    • Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks 

      Al-Emadi, Sara; Al-Ali, Abdulla; Al-Ali, Abdulaziz ( 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 ...
    • Audio-visual feature fusion for speaker identification 

      Almaadeed, Noor; Aggoun, Amar; Amira, Abbes ( Springer , 2012 , Conference Paper)
      Analyses of facial and audio features have been considered separately in conventional speaker identification systems. Herein, we propose a robust algorithm for text-independent speaker identification based on a decision-level ...
    • Audio-visual video classification system design: For Arabic News domain 

      Dandashi, Amal; Aljaam, Jihad; Foufou, Sebti ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      There are many research initiatives tackling automated multimodal video classification, however very few of them are targeted towards classifying Arabic news-related videos. In light of the vast proliferation of raw digital ...