Browsing Computer Science & Engineering by Title

Now showing items 509-528 of 2211

    • Channel Aware and Queue Aware Scheduling in LTE Uplink 

      Hajipour J.; Mohamed A.; Leung V.C.M. ( SpringerLink , 2012 , Conference Paper)
      Long Term Evolution (LTE) uses single carrier frequency division multiple access (SCFDMA) technique as the multiple access scheme in the uplink, due to its low peak to average power ratio (PAPR) compared to orthogonal ...

    • Channel Measurement and Resource Allocation Scheme for Dual-Band Airborne Access Networks 

      Zhang, Ruonan; Guo, Qi; Zhai, Daosen; Zhou, Deyun; Du, Xiaojiang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      The aerial base stations (ABSs) can be quickly deployed to provide emergency communications and airborne network infrastructures. How to ensure wide coverage, reliable links, and high throughput for ground users under the ...

    • Channel secondary random process for robust secret key generation 

      Badawy A.; Khattab T.; Elfouly T.; Chiasserini C.-F.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The broadcast nature of wireless communications imposes the risk of information leakage to adversarial users or unauthorized receivers. Therefore, information security between intended users remains a challenging issue. ...

    • Channel-, Queue-, and Delay-Aware Resource Allocation in Buffer-Aided Relay-Enhanced OFDMA Networks 

      Hajipour, Javad; Mohamed, Amr; Leung, Victor C.M. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      Resource allocation is an important factor in providing different varieties of services in next-generation broadband wireless systems. In this paper, we consider dynamic routing and subchannel allocation for providing ...

    • Characteristics of agent-based hierarchical diff-EDF schedulability over heterogeneous real-time Packet networks 

      Saleh, Moutaz; Othman, Z.A.; Saleh, Mohammed ( EuroJournals Publishing, Inc. , 2009 , Article)
      Packet networks are currently enabling the integration of heterogeneous traffic with a wide range of characteristics that extend from video traffic with stringent QoS requirements to best-effort traffic requiring no ...

    • Characteristics, benefits, challenges, and socio-cultural factors of implementing pbl in qatar 

      Naji, Khalid K.; Al-Thani, Hessa H.; Al-Ali, Abdulla Khalid A M; Ebead, Usama Ali Ali; Du, Xiangyun ( Aalborg University , 2020 , Conference Paper)
      While project-and/or problem-based learning has been implemented in higher education worldwide for several decades, both modes of PBL remain a new phenomenon in Qatar. Over the past few years, several research projects ...

    • Characterization of the indoor-outdoor radio propagation channel at 2.4 GHz 

      Ahmed I.; Orfali S.; Khattab T.; Mohamed A. ( IEEE , 2011 , Conference Paper)
      We present the site-specific signal strength measurement results for path loss, shadowing, and fading in 2.4GHz band under typical harsh environment (high temperature 4050 C and humidity 8090%). We use spectrum analyzer ...

    • Characterization of untreated and treated male and female date palm leaves 

      AlMaadeed, M.A.; Kahraman, Ramazan; Khanam, P. Noorunnisa; Al-Maadeed, Somaya ( Elsevier, Ltd , 2013 , Technical Report)
      This paper describes the characterization of male and female date palm leaves from two different cultivars, Sheshi female and unknown male leaves. Characterization was done for both untreated and NaOH treated date palm ...

    • Chatbot Application to Support Smart Agriculture in Thailand 

      Suebsombut, Paweena; Sureephong, Pradorn; Sekhari, Aicha; Chernbumroong, Suepphong; Bouras, Abdelaziz ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      A chatbot is a software developed to help reply to text or voice conversations automatically and quickly in real time. In the agriculture sector, the existing smart agriculture systems just use data from sensing and internet ...

    • CheckThat! at CLEF 2019: Automatic identification and verification of claims 

      Elsayed, Tamer; Nakov, Preslav; Barrón-Cedeño, Alberto; Hasanain, Maram; Suwaileh, Reem; ... more authors ( Springer Verlag , 2019 , Conference Paper)
      We introduce the second edition of the CheckThat! Lab, part of the 2019 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes two complementary tasks. Task 1: predict which claims in a political debate should be ...

    • CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media 

      Barrón-Cedeño, Alberto; Elsayed, Tamer; Nakov, Preslav; Da San Martino, Giovanni; Hasanain, Maram; ... more authors ( Springer , 2020 , Conference Paper)
      We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in ...

    • Classification and trends in knowledge research relevance and context for smart farm technology development 

      Suebsombut P.; Sekhari A.; Sureephong P.; Bouras A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      With the climate change paradigm, farmers are facing changes in the environment all the time like drought, higher temperature, heavy raining, and the shift of season. Smart farm is a method for helping farmers to plant ...

    • Classification ensemble to improve medical named entity recognition 

      Keretna, Sara; Lim, Chee Peng; Creighton, Doug; Shaban, Khaled Bashir ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ...

    • Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study 

      Abualsaud K.; Mohamed A.; Khattab T.; Yaacoub E.; Hasna M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ...

    • Classification of corneal nerve images using machine learning techniques 

      Salahuddin, Tooba; Qidwai, Uvais ( Penerbit UTHM , 2019 , Article)
      Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ...

    • Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images 

      Boubchir L.; Al-Maadeed, Somaya; Bouridane A.; Cherif A.A. ( IEEE Computer Society , 2015 , Conference Paper)
      This paper presents novel time-frequency (t-f) feature extraction approach for the classification of EEG signals for Epileptic seizure activities detection. The proposed features are based on Local Binary Patterns (LBP) ...

    • Cloud computing without seeing 

      Malluhi, Qutaibah; Khan, Khaled M. ( Association for Computing Machinery , 2011 , Conference Paper)
      In the emerging cloud computing model, security is of paramount concern. This paper discusses the need for practical techniques that enable private outsourcing on the cloud by allowing the service provider to work on ...

    • Cloud database encryption technology based on combinatorial encryption 

      Chen, Meng; Fu, Xiao; Luo, Bin; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Traditional cloud database directly stores user plaintext information, information security is directly related to the security of Cloud server, which will create a great security risk. The user's information security is ...

    • Cloud of things for sensing as a service: sensing resource discovery and virtualization 

      Abdelwahab, Sherif; Hamdaoui, Bechir; Guizani, Mohsen; Znati, Taieb ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      We propose Cloud of Things for Sensing as a Service: a global architecture that scales up cloud computing by exploiting the global sensing resources of the highly dynamic and growing Internet of Things (IoT) to enable ...

    • Cloud Storage Forensics: BaiduNetDisk, WeiYun, and 115yun on a Wireless Network 

      Chen, Yuzhe; Fu, Xiao; Luo, Bin; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      With the development of cloud computing and wireless networks, cloud storage services are widely used in daily life. People can get access to cloud storage anytime and anywhere. Cloud storage forensics is a computer forensic ...