Browsing Information Intelligence by Title

Now showing items 6-25 of 93

    • A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases 

      Hammoudeh, Mohammad; Epiphaniou, Gregory; Belguith, Sana; Unal, Devrim; Adebisi, Bamidele; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT ...

    • Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing 

      Elgendy, Ibrahim A.; Muthanna, Ammar; Hammoudeh, Mohammad; Shaiba, Hadil; Unal, Devrim; ... more authors ( Mary Ann Liebert Inc. , 2021 , Article)
      The Internet of Things (IoT) is permeating our daily lives through continuous environmental monitoring and data collection. The promise of low latency communication, enhanced security, and efficient bandwidth utilization ...

    • An efficient instance hiding scheme 

      Malluhi, Qutaibah M.; Shikfa, Abdullatif; Trinh, Viet Cuong ( Association for Computing Machinery , 2016 , Conference Paper)
      Delegating computation, which is applicable to many practical contexts such as cloud computing or pay-TV system, concerns the task where a computationally weak client wants to securely compute a very complex function f on ...

    • An enhanced ensemble deep random vector functional link network for driver fatigue recognition 

      Li, Ruilin; Gao, Ruobin; Yuan, Liqiang; Suganthan, P.N.; Wang, Lipo; ... more authors ( Elsevier , 2023 , Article)
      This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ...

    • An Interactive Visualization Web Solution for Electricity Consumption in Qatar 

      Soliman, Engy; Shalaby, Salma; Fetais, Noora ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      The amount of raw data related to electricity companies is increasing rapidly with the increase of construction sites, population and Qatar preparation for 2022 world cup. A question arises from this situation is: How can ...

    • Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data 

      Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( IEEE Computer Society , 2023 , Conference Paper)
      The Smart Grid Advanced Metering Infrastructure (AMI) has revolutionized the smart grid network, generating vast amounts of data that can be utilized for diverse objectives, one of which is Household Characteristics ...

    • Anonymizing transactional datasets 

      AL Bouna, Becharaa; Clifton, Chrisc; Malluhi, Qutaibah ( IOS Press , 2015 , Article)
      In this paper, we study the privacy breach caused by unsafe correlations in transactional data where individuals have multiple tuples in a dataset. We provide two safety constraints to guarantee safe correlation of the ...

    • Applying zero trust security principles to defence mechanisms against data exfiltration attacks 

      Egerton, Hugo; Hammoudeh, Mohammad; Unal, Devrim; Adebisi, Bamidele ( wiley , 2021 , Book chapter)
      The zero-trust principle explicitly verifies that the authentication and authorization of all actions are performed regardless of the requesting user's credentials or permissions. This chapter presents the details of a ...

    • Automated layer-wise solution for ensemble deep randomized feed-forward neural network 

      Hu, Minghui; Gao, Ruobin; Suganthan, Ponnuthurai N.; Tanveer, M. ( Elsevier B.V. , 2022 , Article)
      The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ...

    • Automatic generation of optimized workflow for distributed computations on large-scale matrices 

      Sabry, Farida; Erradi, Abdelkarim; Nassar, Mohamed; Malluhi, Qutaibah M. ( Springer Verlag , 2014 , Conference Paper)
      Efficient evaluation of distributed computation on large-scale data is prominent in modern scientific computation; especially analysis of big data, image processing and data mining applications. This problem is particularly ...

    • Battery-Induced Load Hiding and Its Utility Consequences 

      Aly, Hussein; Altamimi, Emran; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ...

    • Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity 

      Jabbar, Rateb; Fetais, Noora; Krichen, Moez; Barkaoui, Kamel ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The Electronic Health Records (EHR) sharing system is the state of art for delivering healthcare. The tools within the system can predict outcomes during the patient's lifetime, monitor how effective are treatments, track ...

    • Breath Analysis for the in Vivo Detection of Diabetic Ketoacidosis 

      Shabil Sha, Mizaj; Maurya, Muni Raj; Shafath, Sadiyah; Cabibihan, John-John; Al-Ali, Abdulaziz; ... more authors ( American Chemical Society , 2022 , Article)
      Human breath analysis of volatile organic compounds has gained significant attention recently because of its rapid and noninvasive potential to detect various metabolic diseases. The detection of ketones in the breath and ...

    • Can immersive type of Virtual Reality bring EMG pattern changes post facial palsy? 

      Qidwai, Uvais; Ajimsha, M. S. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The loss of facial expression via facial paralysis is a devastating condition, both functionally and aesthetically. However, given the life-long plasticity of the brain one could assume that recovery could be facilitated ...

    • Challenges and Mitigation of Cyber Threat in Automated Vehicle: An Integrated Approach 

      Al Mamun A.; Abdullah Al Mamun M.; Shikfa A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The technological development of automated vehicles opens novel cybersecurity threats and risks for road safety. Increased connectivity often results in increased risks of a cyber-security attacks, which is one of the ...

    • A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks 

      Abdel-Nabi, Heba; Ali, Mostafa; Awajan, Arafat; Daoud, Mohammad; Alazrai, Rami; ... more authors ( Springer , 2023 , Other)
      Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ...

    • Compressive sensing based electronic nose platform 

      Djelouat, Hamza; Ait Si Ali, Amine; Amira, Abbes; Bensaali, Faycal ( Elsevier , 2017 , Article)
      Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ...

    • Cybersecurity for next generation healthcare in Qatar 

      Zubair, Mohammad; Unal, Devrim; Al-Ali, Abdulla; Reimann, Thomas; Alinier, Guillaume ( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)
      Background: IoMT (Internet of Medical Things) devices (often referred to IoMT domain) have the potential to quickly diagnose and monitor patients outside the hospital by transmitting information through the cloud domain ...

    • Data confidentiality in cloud-based pervasive system 

      Khan, Khaled M.; Shaheen, Mahboob; Wang, Yongge ( Association for Computing Machinery , 2017 , Conference Paper)
      Data confidentiality and privacy is a serious concern in pervasive systems where cloud computing is used to process huge amount of data such as matrix multiplications typically used in HPC. Due to limited processing ...

    • Data Obfuscation for Privacy and Confidentiality in Cloud Computing 

      Khan, Khaled M.; Shaheen, Mahboob ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      This paper proposes a data obfuscation approach in outsourcing matrix multiplication to cloud computing. It is primarily based on splitting the rows and columns of matrices to alter their actual dimension coupled with ...