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Research Article

BEST PAPER 2021

Future Generation of Artificial Intelligence and Intelligent Internet of Things


Submission Deadline: 15 November 2021 (closed)

Abstract

This article has no abstract.

Keywords

• Artificial intelligence in expert systems
• Revolution of Industry 4.0 to Industry 5.0
• Internet of Nano Things (IoNT)
• Industrial Internet of Things (IIoT)
• Internet of Medical Things (IoMT)
• Soft computing techniques in IoT based AI systems
• Next-generation enterprise systems
• Interoperability Development Testing of IoT
• Security and privacy issues in IoT AI systems
• Smart Agriculture using IoT
• IoT in Smart Healthcare
• IoT in Smart Robotics
• Smart Learning Management System & Technology
• IoT for Blockchain and Bitcoin
• Artificial Intelligence in Cloud-based IoT
• Machine Learning for Internet of Things
• Fuzzy Systems for the Internet of Things
• Deep Learning for Internet of Things
• Future challenges and applications of Intelligent IOT based AI
  • Research Article

    BEST PAPER 2021

    Implementation and Validation of the Optimized Deduplication Strategy in Federated Cloud Environment

    Nipun Chhabra*, Manju Bala, Vrajesh Sharma CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 2019-2035, 2022, DOI:10.32604/cmc.2022.021797
    Abstract Cloud computing technology is the culmination of technical advancements in computer networks, hardware and software capabilities that collectively gave rise to computing as a utility. It offers a plethora of utilities to its clients worldwide in a very cost-effective way and this feature is enticing users/companies to migrate their infrastructure to cloud platform. Swayed by its gigantic capacity and easy access clients are uploading replicated data on cloud resulting in an unnecessary crunch of storage in datacenters. Many data compression techniques came to rescue but none could serve the purpose for the capacity as large as a cloud, hence, researches… More >

    Graphic Abstract

  • Research Article

    BEST PAPER 2021

    Generating Type 2 Trapezoidal Fuzzy Membership Function Using Genetic Tuning

    Siti Hajar Khairuddin, Mohd Hilmi Hasan*, Emilia Akashah P. Akhir, Manzoor Ahmed Hashmani CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 717-734, 2022, DOI:10.32604/cmc.2022.020666
    Abstract Fuzzy inference system (FIS) is a process of fuzzy logic reasoning to produce the output based on fuzzified inputs. The system starts with identifying input from data, applying the fuzziness to input using membership functions (MF), generating fuzzy rules for the fuzzy sets and obtaining the output. There are several types of input MFs which can be introduced in FIS, commonly chosen based on the type of real data, sensitivity of certain rule implied and computational limits. This paper focuses on the construction of interval type 2 (IT2) trapezoidal shape MF from fuzzy C Means (FCM) that is used for… More >

    Graphic Abstract

  • Research Article

    BEST PAPER 2021

    Comparative Study of Transfer Learning Models for Retinal Disease Diagnosis from Fundus Images

    Kuntha Pin1, Jee Ho Chang2, Yunyoung Nam3,* CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5821-5834, 2022, DOI:10.32604/cmc.2022.021943
    Abstract While the usage of digital ocular fundus image has been widespread in ophthalmology practice, the interpretation of the image has been still on the hands of the ophthalmologists which are quite costly. We explored a robust deep learning system that detects three major ocular diseases: diabetic retinopathy (DR), glaucoma (GLC), and age-related macular degeneration (AMD). The proposed method is composed of two steps. First, an initial quality evaluation in the classification system is proposed to filter out poor-quality images to enhance its performance, a technique that has not been explored previously. Second, the transfer learning technique is used with various… More >

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  • Research Article

    BEST PAPER 2021

    Handover Mechanism Based on Underwater Hybrid Software-Defined Modem in Advanced Diver Networks

    K. M. Delphin Raj1, Sun-Ho Yum1, Jinyoung Lee2, Eunbi Ko3, Soo-Yong Shin2, Soo-Hyun Park3,* CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5721-5743, 2022, DOI:10.32604/cmc.2022.020870
    Abstract For the past few decades, the internet of underwater things (IoUT) obtained a lot of attention in mobile aquatic applications such as oceanography, diver network monitoring, unmanned underwater exploration, underwater surveillance, location tracking system, etc. Most of the IoUT applications rely on acoustic medium. The current IoUT applications face difficulty in delivering a reliable communication system due to the various technical limitations of IoUT environment such as low data rate, attenuation, limited bandwidth, limited battery, limited memory, connectivity problem, etc. One of the significant applications of IoUT include monitoring underwater diver networks. In order to perform a reliable and energy-efficient… More >

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