السجلات المعروضة 1601 -- 1620 من 2402

    • On the evaluation of tweet timeline generation task 

      Magdy, Walid; Elsayed, Tamer; Hasanain, Maram ( Springer Verlag , 2016 , Conference Paper)
      Tweet Timeline Generation (TTG) task aims to generate a timeline of relevant but novel tweets that summarizes the development of a given topic. A typical TTG system first retrieves tweets then detects novel tweets among ...
    • Knowledge management on asset management for end of life products 

      Chakpitak, N.; Loahavilai, P.; Dahal, K.; Bouras, A. ( Springer New York LLC , 2016 , Conference Paper)
      Because of considerable high labor cost in developed countries particularly Japan and Korea, the end of life products required manual or semi-manual processes have been relocated to developing countries. In addition, the ...
    • A virtual milling machine model to generate machine-monitoring data for predictive analytics 

      Lechevalier, David; Shin, Seung-Jun; Woo, Jungyub; Rachuri, Sudarsan; Foufou, Sebti ( Springer New York LLC , 2016 , Conference Paper)
      Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a ...
    • Towards energy-aware 5G heterogeneous networks 

      Lateef, Hafiz Yasar; Dohler, Mischa; Mohammed, Amr; Guizani, Mohsen Mokhtar; Chiasserini, Carla Fabiana ( Springer International Publishing , 2016 , Book chapter)
      Over the past decade, the telecommunication industry has witnessed excessive growth in the number of mobile users. Market forecasts envision that there will be nearly 8.6 billion mobile devices worldwide by 2017. This ...
    • Direct unsupervised text line extraction from colored historical manuscript images using DCT 

      Baig, Asim; Al-Maadeed, Somaya; Bouridane, Ahmed; Cheriet, Mohamed ( Springer Verlag , 2016 , Conference Paper)
      Extracting lines of text from a manuscript is an important preprocessing step in many digital paleography applications. These extracted lines play a fundamental part in the identification of the author and/or age of the ...
    • Motion-Aware Graph Regularized RPCA for background modeling of complex scenes 

      Javed, Sajid; Jung, Soon Ki; Mahmood, Arif; Bouwmans, Thierry ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ...
    • Arabic corpora for credibility analysis 

      Al Zaatari, Ayman; El Ballouli, Rim; Elbassuoni, Shady; El-Hajj, Wassim; Hajj, Hazem; ... more authors ( European Language Resources Association (ELRA) , 2016 , Conference Paper)
      A significant portion of data generated on blogging and microblogging websites is non-credible as shown in many recent studies. To filter out such non-credible information, machine learning can be deployed to build automatic ...
    • PLM system support for collaborative development of wearable meta-products using SBCE 

      Essamlali, Mohammed Taha Elhariri; Sekhari, Aicha; Bouras, Abdelaziz ( Springer New York LLC , 2016 , Conference Paper)
      Nowadays, in the era of Internet of Things, people tend to be more tied to connected products seeking to ease and improve quality of life and find new ways to make things such as daily tasks differently. In this context, ...
    • How notations are developed: A proposed notational lifecycle 

      Green, T. R.G.; Fetais, Noora ( Springer New York LLC , 2016 , Conference Paper)
      Notations develop over time. We propose that they characteristically pass through a series of development stages, starting very simple and becoming more complex, reaching a stage of complexity that hinders their usability: ...
    • Constrained metric learning by permutation inducing isometries 

      Bosveld, Joel; Mahmood, Arif; Huynh, Du Q.; Noakes, Lyle ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      The choice of metric critically affects the performance of classification and clustering algorithms. Metric learning algorithms attempt to improve performance, by learning a more appropriate metric. Unfortunately, most of ...
    • 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 ...
    • Simulating drone-be-gone: Agile low-cost cyber-physical UAV Testbed (Demonstration) 

      Khan, Mouhyemen; Alam, Sidra; Mohamed, Amr; Harras, Khaled A. ( International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) , 2016 , Conference Paper)
      In this paper, we demonstrate Drone-Be-Gone (DbeG): a general-purpose, inexpensive, and agile UAV Cyber-Physical System (CPS) testbed. We implement on our testbed 2-D vision-based localization within 5 cm precision, ...
    • A review on challenging issues in Arabic sentiment analysis 

      Hamdi, Ali; Shaban, Khaled; Zainal, Anazida ( Science Publications , 2016 , Article Review)
      Understanding what people think about an idea or how they evaluate a product, a service or a policy is important for individuals, companies and governments. Sentiment analysis is the process of automatically identifying ...
    • In-network data reduction approach based on smart sensing 

      Awad, Alaa; Saad, Amal; Jaoua, Ali; Mohamed, Amr; Chiasserini, Carla-Fabiana ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      The rapid advances in wireless communication and sensor technologies facilitate the development of viable mobile-Health applications that boost opportunity for ubiquitous real- time healthcare monitoring without constraining ...
    • Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images 

      Sirinukunwattana, Korsuk; Raza, Shan E Ahmed; Tsang, Yee-Wah; Snead, David R. J.; Cree, Ian A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ...
    • Efficient Usage of Renewable Energy in Communication Systems Using Dynamic Spectrum Allocation and Collaborative Hybrid Powering 

      Touzri, Taha; Ghorbel, Mahdi Ben; Hamdaoui,Bechir; Guizani, Mohsen; Khalfi, Bassem ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      In this paper, we introduce a new green resource allocation problem using hybrid powering of communication systems from renewable and nonrenewable sources. The objective is to efficiently allocate the power delivered from ...
    • Voltage/load Control Strategy for Smart Distribution Grids with a High Penetration of Renewable Energy Sources 

      Elsayad, N.E.; Shaban, K.B.; Massoud, A.; Shatshat, R.E. ( European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ) , 2016 , Article)
      The exponential increase of renewable energy sources (RESs) penetration in the power grid introduces the of voltage instability when RESs are integrated into medium and low voltage networks. This paper proposes a state-machine ...
    • Relay selection schemes to minimise outage in wireless powered communication networks 

      Butt, Muhammad Majid; Salama, Ahmed; Mohamed, Amr; Guizani, Mohsen ( Institution of Engineering and Technology , 2016 , Article)
      In this study, the authors discuss relay selection schemes with the objective to minimise outage probability for a network consisting of a single source, multiple relays and a single destination. The relays are powered by ...
    • Overlay network scheduling design 

      Bai, H.; Shaban, K.; Khodeir, M.; Gu, F.; Crichigno, J.; ... more authors ( Elsevier B.V. , 2016 , Article)
      Advance reservation services are being used by a range of applications to schedule connection bandwidth resources at future time intervals. To date many different algorithms have been developed to support various point-to-point ...
    • Support peer assessment processes in online problem-based learning 

      Samaka, Mohammed; Miao, Yongwu; Wang, Disi ( IEEE Computer Society , 2016 , Conference Paper)
      Problem Based Learning (PBL) is proposed as one of the most well-known alternatives to traditional lectures in modeling engineering graduates to become independent workers, critical thinkers, problem solver, lifelong ...