Search Results - "Manogaran, Gunasekaran"

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  1. 1

    Efficient Traceability Systems of Steel Products Using Blockchain-Based Industrial Internet of Things by Cao, Yan, Jia, Feng, Manogaran, Gunasekaran

    “…With the development of the industrial Internet of Things (IIoT), the existing IIoT platform has gradually formed a large-scale, heterogeneous distributed…”
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    Journal Article
  2. 2

    Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence by Lv, Zhihan, Han, Yang, Singh, Amit Kumar, Manogaran, Gunasekaran, Lv, Haibin

    “…The intelligent industrial environment developed with the support of the new generation network cyber-physical system (CPS) can realize the high concentration…”
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  3. 3

    CDP-UA: Cognitive Data Processing Method Wearable Sensor Data Uncertainty Analysis in the Internet of Things Assisted Smart Medical Healthcare Systems by Manogaran, Gunasekaran, Alazab, Mamoun, Song, Houbing, Kumar, Neeraj

    “…Internet of Medical Things (IoMT) platform serves as an interoperable medium for healthcare applications by connecting wearable sensors, end-users, and…”
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  4. 4

    Ant-Inspired Recurrent Deep Learning Model for Improving the Service Flow of Intelligent Transportation Systems by Manogaran, Gunasekaran, Alazab, Mamoun

    “…Intelligent Transportation System (ITS) serves as the on-the wheel communication and service platform for the real-world driving users. Navigation service and…”
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  5. 5

    A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria by Abdel-Basset, Mohamed, Manogaran, Gunasekaran, Gamal, Abduallah, Smarandache, Florentin

    Published in Design automation for embedded systems (01-09-2018)
    “…For any organization, the selection of suppliers is a very important step to increase productivity and profitability. Any organization or company seeks to use…”
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  6. 6

    A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection by Abdel-Basset, Mohamed, Manogaran, Gunasekaran, Gamal, Abduallah, Smarandache, Florentin

    Published in Journal of medical systems (01-02-2019)
    “…Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach…”
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  7. 7

    Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System by Gunasekaran Manogaran, Varatharajan, R, Priyan, M K

    Published in Multimedia tools and applications (01-02-2018)
    “…Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System (MKL with ANFIS) based deep learning method is proposed in this paper for heart disease…”
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  8. 8

    Displacement-Aware Service Endowment Scheme for Improving Intelligent Transportation Systems Data Exchange by Manogaran, Gunasekaran, Nguyen, Tu N.

    “…Intelligent Transportation Systems (ITS) is a smart-transportation system for road-side assistance and data exchange support by integrating cloud and wireless…”
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  9. 9

    A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing by Varatharajan, R, Gunasekaran Manogaran, Priyan, M K

    Published in Multimedia tools and applications (01-04-2018)
    “…Electrocardiographic (ECG) signals often consist of unwanted noises and speckles. In order to remove the noises, various image processing filters are used in…”
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  10. 10

    A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT by Abdel-Basset, Mohamed, Manogaran, Gunasekaran, Gamal, Abduallah, Chang, Victor

    Published in IEEE internet of things journal (01-05-2020)
    “…Internet of Things (IoT) has gain the importance with the growing applications in the fields of ubiquitous and context-aware computing. In IoT, anything can be…”
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  11. 11

    Internet of things in smart education environment: Supportive framework in the decision‐making process by Abdel‐Basset, Mohamed, Manogaran, Gunasekaran, Mohamed, Mai, Rushdy, Ehab

    Published in Concurrency and computation (25-05-2019)
    “…Summary The role of education, which propagates knowledge, becomes increasingly significant in the past little years due to the fulminatory expansion in…”
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  12. 12

    An Efficient Resource Allocation Scheme With Optimal Node Placement in IoT-Fog-Cloud Architecture by Manogaran, Gunasekaran, Rawal, Bharat S.

    Published in IEEE sensors journal (15-11-2021)
    “…Internet of Everything (IoE) encompasses smart devices, users, applications, and services through the internet with digital features. Fog Computing is a recent…”
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  13. 13

    Blockchain Assisted Secure Data Sharing Model for Internet of Things Based Smart Industries by Manogaran, Gunasekaran, Alazab, Mamoun, Shakeel, P. Mohamed, Hsu, Ching-Hsien

    Published in IEEE transactions on reliability (01-03-2022)
    “…Industrial Internet of Things is focused to improve the performance of smart factories through automation and scalable functions. IoT paradigm, information and…”
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  14. 14

    2-Levels of clustering strategy to detect and locate copy-move forgery in digital images by Abdel-Basset, Mohamed, Manogaran, Gunasekaran, Fakhry, Ahmed E., El-Henawy, Ibrahim

    Published in Multimedia tools and applications (01-02-2020)
    “…Understanding is considered a key purpose of image forensic science in order to find out if a digital image is authenticated or not. It can be a sensitive task…”
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  15. 15

    An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems by Abdel-Basset, Mohamed, Gunasekaran Manogaran, Abdel-Fatah, Laila, Mirjalili, Seyedali

    Published in Personal and ubiquitous computing (01-10-2018)
    “…Bin packing problem (BPP) is a classical combinatorial optimization problem widely used in a wide range of fields. The main aim of this paper is to propose a…”
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  16. 16

    A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection by Afza, Farhat, Khan, Muhammad Attique, Sharif, Muhammad, Kadry, Seifedine, Manogaran, Gunasekaran, Saba, Tanzila, Ashraf, Imran, Damaševičius, Robertas

    Published in Image and vision computing (01-02-2021)
    “…In this article, we implement an action recognition technique based on features fusion and best feature selection. In the proposed method, HSI color…”
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  17. 17

    Creating Collision-Free Communication in IoT with 6G Using Multiple Machine Access Learning Collision Avoidance Protocol by Shakeel, P. Mohamed, Baskar, S., Fouad, Hassan, Manogaran, Gunasekaran, Saravanan, Vijayalakshmi, Xin, Qin

    Published in Mobile networks and applications (01-06-2021)
    “…Cloud computing is an important technology to offer consumer appliances a wide pool of elastic resources. The heterogeneous network faces collision while…”
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  18. 18

    Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System by Manogaran, Gunasekaran, Shakeel, P Mohamed, Fouad, H, Nam, Yunyoung, Baskar, S, Chilamkurti, Naveen, Sundarasekar, Revathi

    Published in Sensors (Basel, Switzerland) (09-07-2019)
    “…According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans and their…”
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  19. 19

    Artificial Intelligence and Blockchain-Assisted Offloading Approach for Data Availability Maximization in Edge Nodes by Manogaran, Gunasekaran, Mumtaz, Shahid, Mavromoustakis, Constandinos X., Pallis, Evangelos, Mastorakis, George

    Published in IEEE transactions on vehicular technology (01-03-2021)
    “…Mobile Edge Computing (MEC) paradigm is designed to meet the user requirements by providing cloud services at the edge of the user network. Blockchain…”
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  20. 20

    Smart Sensing Based Functional Control for Reducing Uncertainties in Agricultural Farm Data Analysis by Manogaran, Gunasekaran, Alazab, Mamoun, Muhammad, Khan, de Albuquerque, Victor Hugo C.

    Published in IEEE sensors journal (15-08-2021)
    “…Smart farming is a promising application area that relies on diverse intelligent and communication technologies to ease the outcome of the farming process. The…”
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