Now showing items 1628-1647 of 2127

    • Q-Map Application for Enrichment of a Mobile Directory Assistance Service 

      Samaka, Mohammed; Abu-Dayya, Adnan; Owaisho, B.; Al Sada, N.; Al Khuzaai, N.; ... more authors ( NCCIT 2010 , 2010 , Article)
      The project described in this paper involves designing and developing a mobile map application, called the Qatar Map (Q-Map), which supports a telephone directory assistance service that runs over the terrestrial cellular ...
    • QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling 

      Basyoni, Lamiaa; Erbad, Aiman; Mohamed, Amr; Guizani, Mohsen ( IEEE Computer Society , 2022 , Article)
      Tor is a popular anonymity network adopted by more than two million users to preserve their privacy. Tor was mainly developed as a low-latency network to support interactive web browsing and messaging applications. However, ...
    • QoE-aware distributed cloud-based live streaming of multisourced multiview videos 

      Bilal K.; Erbad A.; Hefeeda M. ( Academic Press , 2018 , Article)
      Video streaming is one of the most prevailing and bandwidth consuming Internet applications today. Advancements in technology and prevalence of video capturing devices result in massive multi-sourced (aka crowdsourced) ...
    • QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach 

      Haouari F.; Baccour E.; Erbad A.; Mohamed A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
    • QoS dependency modeling for composite systems 

      Hashmi K.; Malik Z.; Erradi A.; Rezgui A. ( Institute of Electrical and Electronics Engineers , 2018 , Article)
      Software as a service is a well accepted software deployment and distribution model that has grown exponentially in the last few years. One of the biggest benefits of SaaS is the automated composition of different services ...
    • QoS optimization for cloud service composition based on economic model 

      Kholidy, Hisham A.; Hassan, Hala; Sarhan, Amany M.; Erradi, Abdelkarim; Abdelwahed, Sherif ( Springer Verlag , 2015 , Conference Paper)
      Cloud service composition is usually long term based and economically driven. Services in cloud computing can be categorized into two groups: Application services and Computing Services. Compositions in the application ...
    • QoS provision for vehicle big data by parallel transmission based on heterogeneous network characteristics prediction 

      Qiao, Wenxuan; Dong, Ping; Du, Xiaojiang; Zhang, Yuyang; Zhang, Hongke; ... more authors ( Academic Press Inc. , 2022 , Article)
      Multipath parallel transmission has become an important research direction to improve big data transmission efficiency of connected vehicles. However, due to the heterogeneity and time-varying characteristics of parallel ...
    • QoS-Aware Reliable Traffic Prediction Model under Wireless Vehicular Networks 

      Zhang, Qin; Guo, Zhiwei; Yu, Keping; Al-Dulaimi, Anwer; Wei, Wei; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      With the continuous progress of communication quality, the wireless vehicular networks (WVN) will surely be-come an inevitable part of future smart cities. Inside WVN where context is complicated and stochastic, quality ...
    • QR2: A third-party query reranking service over web databases 

      Durairaj Gunasekaran Y.; Asudeh A.; Hasani S.; Zhang N.; Jaoua A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, in practice, many such databases fail to ...
    • QRS Complexes Classification Using Dictionary Learning and Pietra Index 

      Baali H.; Djelouat H.; Amira A.; Bensaali F.; Zhai X. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In this study, an algorithm for arrhythmia classification that conforms to the recommended practice by the Association for the Advancement of Medical Instrumentation (AAMI) is presented. Our approach efficiently exploits ...
    • QU at TREC-2015: Building Real-Time Systems for Tweet Filtering and Question Answering 

      Suwaileh, Reem; Hasanain, Maram; Torki, Marwan; Elsayed, Tamer ( National Institute of Standards and Technology (NIST) , 2015 , Conference Paper)
      This paper presents our participation in the microblog and LiveQA tracks in TREC-2015. Both tracks required building a "real-time" system that monitors a data stream and responds to users' information needs in real-time. ...
    • QU-IR at SemEval 2016 Task 3: Learning to rank on Arabic community question answering forums with word embedding 

      Malhas, Rana; Torki, Marwan; Elsayed, Tamer ( Association for Computational Linguistics (ACL) , 2016 , Conference Paper)
      Resorting to community question answering (CQA) websites for finding answers has gained momentum in the past decade with the explosive rate at which social media has been proliferating. With many questions left unanswered ...
    • Qualitative economic model for long-term IaaS composition 

      Mistry, Sajib; Bouguettaya, Athman; Dong, Hai; Erradi, Abdelkarim ( Springer Verlag , 2016 , Conference Paper)
      We propose a new qualitative economic model based optimization approach to compose an optimal set of infrastructure service requests over a long-term period. The economic model is represented as a temporal CP-Net to capture ...
    • Quality of Coverage: A Novel Approach to Coverage for Mobile Crowd Sensing Systems 

      Azmy S.B.; Zorba N.; Hassanein H.S. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Mobile Crowd Sensing (MCS) is an effective paradigm that utilizes the crowd as an extended instrument for the purpose of collecting data. However, utilizing the crowd comes with the risks stemming from the crowd's ...
    • Quality of sustainability optimization design for mobile ad hoc networks in disaster areas 

      Vo, Nguyen-Son; Duong, Trung Q.; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      During a disaster, communication systems are partially (or completely) interrupted with very limited resources due to infrastructures destruction and hence the lack of essential services. Meanwhile, the demand for communication ...
    • Quantifying caching effects in urban VANETs 

      Bian, Chaoyi; Zhao, Tong; Li, Xiaoming; Du, Xiaojiang; Guizani, Mohsen; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Most applications in urban Vehicular Ad hoc NETworks (VANETs) rely on information sharing, such as real-Time traffic information queries, advertisements, etc. However, existing data dissemination techniques cannot guarantee ...
    • Quantifying Satisfaction of Security Requirements of Cloud Software Systems 

      Nhlabatsi, Armstrong; Khan, Khaled MD; Hong, Jin B.; Kim, Dong Seong; Fernandez, Rachael; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      The satisfaction of a software requirement is commonly stated as a Boolean value, that is, a security requirement is either satisfied (true) or not (false). However, a discrete Boolean value to measure the satisfaction ...
    • Quantum Computing for Healthcare: A Review 

      Ur Rasool, Raihan; Ahmad, Hafiz F.; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid; ... more authors ( MDPI , 2023 , Article Review)
      In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ...
    • QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds 

      Rahman, Tawsifur; Ibtehaz, Nabil; Khandakar, Amith; Hossain, Md S.; Mekki, Yosra M.; ... more authors ( MDPI , 2022 , Article)
      Problem-Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical ...
    • Query hidden attributes in social networks 

      Nazi, Azade; Thirumuruganathan, Saravanan; Hristidis, Vagelis; Zhang, Nan; Shaban, Khaled; ... more authors ( IEEE Computer Society , 2015 , Conference Paper)
      Micro blogs and collaborative content sites such as Twitter and Amazon are popular among millions of users who generate huge numbers of tweets, posts, and reviews every day. Despite their popularity, these sites only provide ...