Now showing items 368-387 of 2266

    • Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets 

      Suwaileh, Reem; Imran, Muhammad; Elsayed, Tamer; Sajjad, Hassan ( Association for Computational Linguistics (ACL) , 2020 , Conference Paper)
      The widespread usage of Twitter during emergencies has provided a new opportunity and timely resource to crisis responders for various disaster management tasks. Geolocation information of pertinent tweets is crucial for ...
    • Argus: Realistic target coverage by drones 

      Saeed, Ahmed; Abdelkader, Ahmed; Khan, Mouhyemen; Neishaboori, Azin; A. Harras, Khaled; ... more authors ( Association for Computing Machinery, Inc , 2017 , Conference Paper)
      Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent visual sensing systems. This potential motivated several research eforts to employ drones as standalone surveillance systems ...
    • AROMA: A recursive deep learning model for opinion mining in Arabic as a low resource language 

      Al-Sallab, Ahmad; Baly, Ramy; Hajj, Hazem; Shaban, Khaled Bashir; El-Hajj, Wassim; ... more authors ( Association for Computing Machinery , 2017 , Article Review)
      While research on English opinion mining has already achieved significant progress and success, work on Arabic opinion mining is still lagging. This is mainly due to the relative recency of research efforts in developing ...
    • Arrhythmia classification using DWT-coefficient energy ratios 

      Mahgoub, Asma; Tanveer, Adeen; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ...
    • Arrhythmia classification using DWT-coefficient energy ratios 

      Mahgoub, Asma; Sofi, Adeen Tanveer; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ...
    • ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales 

      Hasanain, Maram; Barkallah, Yassmine; Suwaileh, Reem; Kutlu, Mucahid; Elsayed, Tamer ( Association for Computing Machinery, Inc , 2020 , Conference Paper)
      The scarcity of Arabic test collections has long hindered information retrieval (IR) research over the Arabic Web. In this work, we present ArTest, the first large-scale test collection designed for the evaluation of ad-hoc ...
    • Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles 

      Alladi, Tejasvi; Kohli, Varun; Chamola, Vinay; Yu, F. Richard; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Recent advances in the Internet of Things (IoT) and the adoption of IoT in vehicular networks have led to a new and promising paradigm called the Internet of Vehicles (IoV). However, the mode of communication in IoV being ...
    • Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges 

      AL-Dosari, Khalifa; Fetais, Noora; Kucukvar, Murat ( Taylor & Francis , 2022 , Article)
      Cyberattacks are becoming more and more intense in the banking industry (Ryzhkova et al. 2020). Banking industry is trying to adopt artificial intelligence to create cyber defence system so that the unauthorized access and ...
    • Artificial intelligence and sustainable development goals nexus via four vantage points 

      Nasir, Osama; Javed, Rana Tallal; Gupta, Shivam; Vinuesa, Ricardo; Qadir, Junaid ( 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 ...
    • Artificial Intelligence Empowered QoS-Oriented Network Association for Next-Generation Mobile Networks 

      Yuan, Xin; Yao, Haipeng; Wang, Jingjing; Mai, Tianle; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The increasing complexity and dynamics of 5G mobile networks have brought revolutionary changes in its modeling and control, where efficient routing and resource allocation strategies become beneficial. Software-Defined ...
    • Artificial Intelligence in Predicting Heart Failure 

      Al-Mannai, Rashid Ebrahim; Almerekhi, Mohammed Hamad; Al-Mannai, Mohammed Abdulla; N, Mishahira; Sadasivuni, Kishor Kumar; ... more authors ( Qatar University Press , 2021 , Poster)
      Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ...
    • 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 ...