Browsing Computer Science & Engineering by Title

Now showing items 361-380 of 2288

    • Arabic Natural Language Processing: Framework For Translative Technology For Children With Hearing Impairments 

      Dandashi, Amal; Karkar, Abdelghani; Aljaam, Jihad ( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)
      hildren with hearing impairments (HI) often face many educational, communicational and societal challenges. Arabic Natural Language Processing can be used to develop several key technologies that may alleviate cognitive ...

    • Arabic speech-controlled wheelchair: A Fuzzy scenario 

      Qidwai, Uvais; Ibrahim, Fatma ( IEEE , 2010 , Conference Paper)
      In this paper, the design of a speech-controlled wheelchair is presented. The main motivation for this design came through the feedback from personal experiences of several colleagues as well as rehabilitation centers of ...

    • ArabicTutor: a Multimedia m-Learning Platform for Learning Arabic Spelling and Vocabulary 

      Erradi, A.; Al-kailani, Lubna; Almerekhi, Hind; Nahia, Sajeda ( IEEE , 2012 , Conference Paper)
      Internet-enabled Mobile devices are increasingly used for enhancing the learning experience particularly for language learning. They can be exploited to allow learners to access and interact with multimedia learning resources ...

    • ArabicWeb16: A new crawl for today's Arabic Web 

      Suwaileh, Reem; Kutlu, Mucahid; Fathima, Nihal; Elsayed, Tamer; Lease, Matthew ( Association for Computing Machinery, Inc , 2016 , Conference Paper)
      Web crawls provide valuable snapshots of the Web which enable a wide variety of research, be it distributional analysis to characterize Web properties or use of language, content analysis in social science, or Information ...

    • AraFacts: The First Large Arabic Dataset of Naturally-Occurring Professionally-Verified Claims 

      Ali, Zien Sheikh; Mansour, Watheq; Elsayed, Tamer; Al-Ali, Abdulaziz ( 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 ...

    • ARAP: Arabic author profiling project for cyber-security 

      Rosso P.; Rangel F.; Ghanem B.; Charfi A. ( Sociedad Espanola para el Procesamiento del Lenguaje Natural , 2018 , Article)
      In this paper we describe the current state of the ARAP project on Arabic Author Profiling for Cyber-Security funded by the Qatar National Research Fund via the Carnegie Mellon University in Qatar. The project focuses on ...

    • ArCov-19: The First Arabic COVID-19 Twitter Database with Propagation Networks 

      Haouari, Fatima; Hasanain, Maram; Suwaileh, Reem; Elsayed, Tamer ( Cornel University , 2020 , Article  &   Video)
      In this paper, we present ArCOV-19, an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 31st of March 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 ...

    • ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection 

      Haouari, Fatima; Hasanain, Maram; Suwaileh, Reem; Elsayed, Tamer ( Association for Computational Linguistics (ACL) , 2021 , Conference Paper)
      In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...

    • ARCS-based tactics to improve students' motivation in computer programming course 

      Alhazbi, Saleh ( IEEE , 2015 , Conference Paper)
      Most students find computer programming difficult subject, which frustrates them and affects their performance. In this paper, we present our experience of using ARCS model to improve students' motivation when learning ...

    • 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), ...