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    Browsing Information Intelligence by Type "Article"

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        A resource provisioning framework for bioinformatics applications in multi-cloud environments 

        Senturk, Izzet F.; Balakrishnan, P.; Abu-Doleh, Anas; Kaya, Kamer; Malluhi, Qutaibah; Çatalyürek, Ümit V.... more authors ... less authors ( Elsevier , 2018 , Article)
        The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ...
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        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; Baker, Thar; Kayes, A. S. M.; Watters, Paul... more authors ... less 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 ...
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        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; Khayyat, Mashael... more authors ... less 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 ...
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        An enhanced ensemble deep random vector functional link network for driver fatigue recognition 

        Li, Ruilin; Gao, Ruobin; Yuan, Liqiang; Suganthan, P.N.; Wang, Lipo; Sourina, Olga... more authors ... less 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 ...
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        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 ...
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        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 ...
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        Breath Analysis for the in Vivo Detection of Diabetic Ketoacidosis 

        Shabil Sha, Mizaj; Maurya, Muni Raj; Shafath, Sadiyah; Cabibihan, John-John; Al-Ali, Abdulaziz; Malik, Rayaz A.; Sadasivuni, Kishor Kumar... more authors ... less 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 ...
      • Complementary Learning Subnetworks towards Parameter-Efficient Class-Incremental Learning 

        Li, Depeng; Zeng, Zhigang; Dai, Wei; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
        In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new classes over time. To mitigate the catastrophic ...
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        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; Suganthan, Ponnuthurai N.; Ali, Talal... more authors ... less authors ( Springer , 2023 , Article)
        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 ...
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        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 ...
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        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 ...
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        Deep learning for detection of routing attacks in the internet of things 

        YAVUZ, Furkan Yusuf; Unal, Devrim; GÜL, Ensar ( Atlantis Press , 2018 , Article)
        Cyber threats are a showstopper for Internet of Things (IoT) has recently been used at an industrial scale. Network layer attacks on IoT can cause significant disruptions and loss of information. Among such attacks, routing ...
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        Design and implementation of a modular ECMO simulator 

        Aldisi, Mohammed; Alsalemi, Abdullah; Alhomsi, Yahya; Ahmed, Ibrahim; Bensaali, Fayçal; Alinier, Guillaume; Amira, Abbes... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Article)
        Background: Extracorporeal membrane oxygenation (ECMO) is a high-complexity life-saving procedure riddled with mechanical complications that can place the patient in a critical state where fast and coordinated actions are ...
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        Dynamic security metrics for measuring the effectiveness of moving target defense techniques 

        Hong J.B.; Enoch S.Y.; Kim D.S.; Nhlabatsi A.; Fetais N.; Khan K.M.... more authors ... less authors ( Elsevier Ltd , 2018 , Article)
        Moving Target Defense (MTD) utilizes granularity, flexibility and elasticity properties of emerging networking technologies in order to continuously change the attack surface. There are many different MTD techniques proposed ...
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        ECG encryption and identification based security solution on the Zynq SoC for connected health systems 

        Zhai, Xiaojun; Ait Si Ali, Amine; Amira, Abbes; Bensaali, Faycal ( Academic Press Inc. , 2017 , Article)
        Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients' data and medical records ...
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        Embedded wearable EEG seizure detection in ambulatory state 

        Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( UK Simulation Society , 2014 , Article)
        This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ...
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        Enabling broadcast communications in presence of jamming via probabilistic pairing 

        Pietro, Roberto Di; Oligeri, Gabriele ( Elsevier B.V. , 2017 , Article)
        This paper presents a thorough analysis of Freedom of Speech (FoS): a lightweight, fully distributed, and probabilistic protocol that assures the delivery of a message to be broadcast notwithstanding the presence of a ...
      • Euclidean and Poincaré space ensemble Xgboost 

        Ponnuthurai Nagaratnam, Suganthan; Kong, Lingping; Snášel, Václav; Ojha, Varun; Aly, Hussein Ahmed Hussein Zaky ( Elsevier , 2024 , Article)
        The Hyperbolic space has garnered attention for its unique properties and efficient representation of hierarchical structures. Recent studies have explored hyperbolic alternatives to hyperplane-based classifiers, such as ...
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        Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future 

        Osaba, Eneko; Del Ser, Javier; Suganthan, Ponnuthurai N. ( Elsevier B.V. , 2022 , Article)
        Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Transfer Optimization are formulated on solid ...
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        Fuzzy Identification-Based Encryption for healthcare user face authentication 

        Aggarwal, Mahima; Zubair, Mohammed; Unal, Devrim; Al-Ali, Abdulla; Reimann, Thomas; Alinier, Guillaume... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2022 , Article)
        Background: Internet of Medical Things (IOMT) has the potential to monitor health continuously and in real-time. One of the main issues that arise in IOMT is how securely the data can be transmitted to the clinical team. ...

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