Now showing items 4526-4545 of 8040

    • Latency Analysis of UAV based Communication Networks 

      Horani M.; Hasna M.O. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      UAV based communication is gaining more and more interest in both research and industry. On top of all benefits gained by using UAVs, we investigate in this paper the effect of using UAV communication on the user experienced ...
    • Latest Trends in Twitter from Arab Countries and the World 

      Syed, Wafa Waheeda; Lattab, Abdelkader ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      1. Introduction: Twitter is the micro blogging social media platform which has at most variety of content. The open access to Twitter data with the usage of Twitter APIs has made it a important area of research. Twitter ...
    • Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives 

      Himeur, Yassine; Sohail, Shahab Saquib; Bensaali, Faycal; Amira, Abbes; Alazab, Mamoun ( Elsevier , 2022 , Article Review)
      With the widespread use of Internet of things (IoT), mobile phones, connected devices and artificial intelligence (AI), recommender systems (RSs) have become a booming technology because of their capability to analyze big ...
    • Lattice-Boltzmann interactive blood flow simulation pipeline 

      Esfahani, Sahar S.; Zhai, Xiaojun; Chen, Minsi; Amira, Abbes; Bensaali, Faycal; ... more authors ( Springer , 2020 , Article)
      Purpose: Cerebral aneurysms are one of the prevalent cerebrovascular disorders in adults worldwide and caused by a weakness in the brain artery. The most impressive treatment for a brain aneurysm is interventional radiology ...
    • Laundry wastewater treatment using ultrafiltration under different operating conditions 

      Ashfaq M.Y.; Qiblawey H. ( American Institute of Physics Inc. , 2018 , Conference Paper)
      The laundry wastewater of one of the hospitals in Qatar was selected and studied. It was found that hospital laundry is releasing considerable amount of wastewater i.e. 1800 - 2500 liters/cycle while washing 40 - 50 kg of ...
    • LCDnet: a lightweight crowd density estimation model for real-time video surveillance 

      Khan, Muhammad Asif; Menouar, Hamid; Hamila, Ridha ( Institute for Ionics , 2023 , Article)
      Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks ...
    • Leadership and collaboration in project management education: A case study 

      MAZZETTO, SILVIA ( ISEC Press , 2017 , Conference Paper)
      This paper discusses about the importance of practical experience and multidisciplinary collaboration in project management success and the apparent lack of emphasis placed on this within the context of university education. ...
    • Lean behavior in implementing lean process management 

      Puvanasvaran, A.P.; Megat, M.H.M.A.; Tang, S.H.; Muhamad, M.R.; Hamouda, A.M.S. ( INSInet Publication , 2009 , Article)
      Lean is one of the popular concept has been practiced in most company. However, there are a lot of companies who implement lean are not realized whether lean level of company is improve or relegate. Thus, it is important ...
    • Learn-pads: A mathematical exergaming system for children's physical and mental well-being 

      Karime, Ali; Al Osman, Hussein; Gueaieb, Wail; Alja'am, Jihad Mohamad; El Saddik, Abdulmotaleb ( IEEE , 2011 , Conference Paper)
      Child obesity is one of the major challenges facing modern societies, especially in developed countries. Exergaming tools are considered as effective means to reduce obesity among kids because they require the children to ...
    • Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates 

      Riabchenko, Ekaterina; Meissner, Kristian; Ahmad, Iftikhar; Iosifidis, Alexandros; Tirronen ,Ville; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ...
    • Learned vs. hand-designed features for ECG beat classification: A comprehensive study 

      Ince T.; Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2017 , Conference Paper)
      In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ...
    • Learning games for children with intellectual challenges 

      Saleh, Moutaz S.; Aljaam, Jihad M.; Karime, Ali; Elsaddik, Abdulmotaleb ( IEEE , 2012 , Conference Paper)
      This paper discuss the design of the current educational tutorials and games which are developed for children with intellectual challenges who are resident in the Shafallah center for children with special needs in Doha, ...
    • Learning graph affinities for spectral graph-based salient object detection 

      Aytekin, Caglar Caglar; Iosifidis, Alexandros; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier Ltd , 2017 , Article)
      In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ...
    • Learning predictive autoscaling policies for cloud-hosted microservices using trace-driven modeling 

      Abdullah M.; Iqbal W.; Erradi A.; Bukhari F. ( IEEE Computer Society , 2019 , Conference Paper)
      Autoscaling methods are important to ensure response time guarantees for cloud-hosted microservices. Most of the existing state-of-the-art autoscaling methods use rule-based reactive policies with static thresholds defined ...
    • Learning to rank salient segments extracted by multispectral Quantum Cuts 

      Aytekin, Çağlar; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier B.V. , 2016 , Article)
      and third, multispectral approach is followed to generate multiple proposals instead of a single proposal as in Quantum Cuts. The proposed learn-to-rank algorithm is then applied to these multiple proposals in order to ...
    • LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT 

      Padmanabhan, Regina; Meskin, Nader; Haddad, Wassim M. ( Elsevier B.V. , 2017 , Article)
      The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
    • Learning-free handwritten word spotting method for historical handwritten documents 

      Mohammed H.H.; Subramanian N.; Al-Maadeed, Somaya ( John Wiley and Sons Inc , 2021 , Article)
      Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective ...
    • Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection 

      Kiranyaz, Mustafa Serkan; Degerli A.; Hamid T.; Mazhar R.; Fadil Ahmed R.E.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ...
    • Letter-based classification of Arabic scripts style in ancient Arabic manuscripts 

      Adam K.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Classifying ancient Arabic manuscripts based on handwriting styles is one of the important roles in the field of paleography. Recognizing the style of handwriting in Arabic manuscripts helps in identifying the origin and ...
    • Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review 

      Ahmad, Hafiz Farooq; Rafique, Wajid; Rasool, Raihan Ur; Alhumam, Abdulaziz; Anwar, Zahid; ... more authors ( Elsevier , 2023 , Article Review)
      In recent years, the healthcare industry has faced new challenges around staffing, human interaction, and the adoption of telehealth. Technological innovations can improve efficiency, productivity, and patient outcomes, ...