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  • Open Access


    Automatic Detection and Classification of Insects Using Hybrid FF-GWO-CNN Algorithm

    B. Divya*, M. Santhi

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1881-1898, 2023, DOI:10.32604/iasc.2023.031573

    Abstract Pest detection in agricultural crop fields is the most challenging task, so an effective pest detection technique is required to detect insects automatically. Image processing techniques are widely preferred in agricultural science because they offer multiple advantages like maximal crop protection, improved crop management and productivity. On the other hand, developing the automatic pest monitoring system dramatically reduces the workforce and errors. Existing image processing approaches are limited due to the disadvantages like poor efficiency and less accuracy. Therefore, a successful image processing technique based on FF-GWO-CNN classification algorithm is introduced for effective pest monitoring and detection. The four-step image… More >

  • Open Access


    An Improved Handoff Algorithm for Heterogeneous Wireless Networks

    Deepak Dahiya1, Payal Mahajan2,*, Zaheeruddin2, Mamta Dahiya3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3433-3453, 2022, DOI:10.32604/cmc.2022.026676

    Abstract Heterogeneous Wireless Network is currently a major area of focus in communication engineering. But the important issue in recent communication is the approachability to the wireless networks while maintaining the quality of service. Today, all the wireless access networks are working in tandem to keep the users always connected to the internet cloud that matches the price affordability and performance goals. In order to achieve seamless connectivity, due consideration has to be given to handoff precision and a smaller number of handoffs. Several researchers have used heuristic approaches to solve this issue. In the present work, a hybrid intelligent algorithm… More >

  • Open Access


    Research on Key Technologies of Electronic Shelf Labels Based on LoRa

    Malak Abid Ali Khan1,2, Xiaofeng Lian1,*, Imran Khan Mirani1,3, Li Tan4

    Journal on Big Data, Vol.3, No.2, pp. 49-63, 2021, DOI:10.32604/jbd.2021.016213

    Abstract The demand for Electronic Shelf Labels (ESL), according to the Internet of Things (IoT) paradigm, is expected to grow considerably in the immediate future. Various wireless communication standards are currently contending to gain an edge over the competition and provide the massive connectivity that will be required by a world in which everyday objects are expected to communicate with each other. Low-Power Wide-Area Networks (LPWANs) are continuously gaining momentum among these standards, mainly thanks to their ability to provide long-range coverage to devices, exploiting license-free frequency bands. The main theme of this work is one of the most prominent LPWAN… More >

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