Browsing Computer Science & Engineering by Title

Now showing items 1775-1794 of 2211

    • RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos 

      Baccour, Emna; Erbad, Aiman; Mohamed, Amr; Haouari, Fatima; Guizani, Mohsen; ... more authors ( Elsevier , 2020 , Article)
      © 2020 Elsevier B.V. With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have ...

    • RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems 

      Baccour E.; Erbad A.; Mohamed A.; Hamdi M.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data ...

    • RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT 

      Abo-Eleneen, Amr; Abdellatif, Alaa Awad; Mohamed, Amr; Erbad, Aiman ( IEEE , 2022 , Conference Paper)
      With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such requirements demand fast-acting ...

    • Robotic MFL probe design for inspection in structural health monitoring system 

      Qidwai U.; Akbar M.A.; Maqbool M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Structural health Monitoring (SHM) of civil and mechanical infrastructures using robots is getting a lot of attention in the scientific community. Ultimately, the subsurface defects as well as apparent flaws in the surface ...

    • Robotic probe positioning system for structural health monitoring 

      Qidwai U.; Ijaz A.; Akbar A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Structural health Monitoring (SHM) is a very critical component for sustainable civil and mechanical structures in modern urban settings. The sky-scrappers and huge bridges in modern metropolis today are essential aspects ...

    • Robotic Probe Positioning System for Structural Health Monitoring 

      Ijaz, Ali; Akbar, Muhammad Ali; Qidwai, Uvais ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Structural health Monitoring (SHM) is a very critical component for sustainable civil and mechanical structures in modern urban settings. The sky-scrappers and huge bridges in modern metropolis today are essential aspects ...

    • Robotic toys for autistic children: Innovative tools for teaching and treatment 

      Qidwai, Uvais; Shakir, Mohamed; Connor, Olcay B. ( IEEE , 2013 , Conference Paper)
      This paper presents an initial study related to the use of robotic toys as teaching and therapeutic aid tools for teachers and care-givers as well as parents of children with various levels of autism spectrum disorder ...

    • Robust Decentralized Federated Learning Using Collaborative Decisions 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Federated Learning (FL) has attracted a lot of attention in numerous applications due to recent data privacy regulations and increased awareness about data handling issues, combined with the ever-increasing big-data sizes. ...

    • Robust detection of acoustic partial discharge signals in noisy environments 

      Hussein, Ramy; Bashir Shaban, Khaled; El-Hag, Ayman H. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ...

    • Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game 

      Benaddi, Hafsa; Ibrahimi, Khalil; Benslimane, Abderrahim; Jouhari, Mohammed; Qadir, Junaid ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      The incorporation of advanced networking technologies makes modern systems vulnerable to cyber-attacks that can result in a number of harmful outcomes. Due to the increase of security incidents and massive activities on ...

    • Robust feature point detectors for car make recognition 

      Al-Maadeed S.; Boubezari R.; Kunhoth S.; Bouridane A. ( Elsevier B.V. , 2018 , Article)
      An Automatic Vehicle Make and Model Recognition (AVMMR) system can be a useful add-on tool to Automatic Number Plate Recognition (ANPR) to address potential car cloning, including intelligence collection by the police to ...

    • Robust gait recognition: A comprehensive survey 

      Rida, Imad; Almaadeed, Noor; Almaadeed, Somaya ( Institution of Engineering and Technology , 2019 , Article Review)
      Gait recognition has emerged as an attractive biometric technology for the identification of people by analysing the way they walk. However, one of the main challenges of the technology is to address the effects of inherent ...

    • Robust human silhouette extraction with Laplacian fitting 

      Al-Maadeed, S.; Almotaeryi, R.; Jiang, R.; Bouridane, A. ( Elsevier , 2014 , Article)
      Human silhouette extraction has been a primary step to estimate human poses or classify activities from videos. While the accuracy of human silhouettes has great impact on the follow-on human pose/gait estimation, it has ...

    • Robust model-free gait recognition by statistical dependency feature selection and Globality-Locality Preserving Projections 

      Rida, Imad; Boubchir, Larbi; Al-Maadeed, Noor; Al-Maadeed, Somaya; Bouridane, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Gait recognition aims to identify people through the analysis of the way they walk. The challenge of model-free based gait recognition is to cope with various intra-class variations such as clothing variations and carrying ...

    • Robust normalization protocols for multiplexed fluorescence bioimage analysis 

      Raza, Shan E. Ahmed; Langenkämper, Daniel; Sirinukunwattana, Korsuk; Epstein, David; Nattkemper, Tim W.; ... more authors ( BioMed Central , 2016 , Article)
      The study of mapping and interaction of co-localized proteins at a sub-cellular level is important for understanding complex biological phenomena. One of the recent techniques to map co-localized proteins is to use the ...

    • A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT 

      Abdaoui, Abderrazak; Erbad, Aiman; Al-Ali, Abdulla; Mohamed, Amr; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These ...

    • Robust secret key extraction from channel secondary random process 

      Badawy A.; Elfouly T.; Khattab T.; Chiasserini C.-F.; Mohamed A.; ... more authors ( John Wiley and Sons Ltd , 2016 , Conference Paper)
      The vast majority of existing secret key generation protocols exploit the inherent randomness of the wireless channel as a common source of randomness. However, independent noise added at the receivers of the legitimate ...

    • Robustness analysis of superpixel algorithms to image blur, additive Gaussian noise, and impulse noise 

      Brekhna, Brekhna; Mahmood, Arif; Zhou, Yuanfeng; Zhang, Caiming ( SPIE , 2017 , Article)
      Superpixels have gradually become popular in computer vision and image processing applications. However, no comprehensive study has been performed to evaluate the robustness of superpixel algorithms in regard to common ...

    • Robustness quantification of hierarchical complex networks under targeted failures 

      Bilal K.; Manzano M.; Erbad A.; Calle E.; Khan S.U. ( Elsevier Ltd , 2018 , Article)
      Robustness is one of the key properties in complex networks to ensure the expected level of performance and service availability in case of perturbations and failures. Network robustness is generally quantified using various ...

    • RobustTrust - A Pro-Privacy Robust Distributed Trust Management Mechanism for Internet of Things 

      Awan, Kamran Ahmad; Ud Din, Ikram; Almogren, Ahmad; Guizani, Mohsen; Altameem, Ayman; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In the promising time of the Internet, connected things have the ability to communicate and share information. The Internet of Things (IoT) cannot be implemented unless the security-related concerns have been resolved. ...