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  • Open Access

    ARTICLE

    An Efficient Path Planning Strategy in Mobile Sink Wireless Sensor Networks

    Najla Bagais*, Etimad Fadel, Amal Al-Mansour

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1237-1267, 2022, DOI:10.32604/cmc.2022.026070

    Abstract Wireless sensor networks (WSNs) are considered the backbone of the Internet of Things (IoT), which enables sensor nodes (SNs) to achieve applications similarly to human intelligence. However, integrating a WSN with the IoT is challenging and causes issues that require careful exploration. Prolonging the lifetime of a network through appropriately utilising energy consumption is among the essential challenges due to the limited resources of SNs. Thus, recent research has examined mobile sinks (MSs), which have been introduced to improve the overall efficiency of WSNs. MSs bear the burden of data collection instead of consuming energy… More >

  • Open Access

    VIEWPOINT

    Mechanobiology of the cell surface: Probing its remodeling dynamics using membrane tether pulling assays with optical tweezers

    JULIANA SOARES1,2,#, DOUGLAS G. FREITAS1,3,#, PEDRO S. LOURENÇO1,4, JEFTE FARIAS1,5, BRUNO PONTES1,2,3,4,5,*

    BIOCELL, Vol.46, No.9, pp. 2009-2013, 2022, DOI:10.32604/biocell.2022.019969

    Abstract Mammalian cell surfaces consist of the plasma membrane supported by an underneath cortical cytoskeleton. Together, these structures can control not only the shape of cells but also a series of cellular functions ranging from migration and division to exocytosis, endocytosis and differentiation. Furthermore, the cell surface is capable of exerting and reacting to mechanical forces. Its viscoelastic properties, especially membrane tension and bending modulus, are fundamental parameters involved in these responses. This viewpoint summarizes our current knowledge on how to measure the viscoelastic properties of cell surfaces employing optical tweezers-based tether assays, paving the way More >

  • Open Access

    ARTICLE

    Rice (Oryza sativa L.) Breeding among Hassawi Landrace and Egyptian Genotypes for Stem Borer (Chilo agamemnon Bles.) Resistance and Related Quantitative Traits

    Mohammed I. Al-Daej1, Mohamed M. El-Malky2, Muhammad N. Sattar3, Adel A. Rezk1,4, Muhammad N. Naqqash5, Jameel M. Al-Khayri1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 1905-1922, 2022, DOI:10.32604/phyton.2022.020629

    Abstract Rice stem borer (Chilo agamemnon Bles.) is a primary insect pest of rice and is a major limiting factor to rice production. Breeding for insect-resistant crop varieties has been an economic way of integrated pest management (IPM) as it offers a viable and ecologically acceptable approach. This study was aimed to evaluate rice genotypes for their resistance against rice stem borer. Seven parental genotypes with twenty one F1 crosses were evaluated for genotypic variation in field experiments. Analysis of variance revealed significant differences for the studied traits in almost all crosses and parents. In addition, the… More >

  • Open Access

    ARTICLE

    Wheat Breeding Strategies under Climate Change based on CERES-Wheat Model

    Jintao Cui1,2,*, Jihui Ding3, Sheng Deng4, Guangcheng Shao3, Weiguang Wang1,2, Xiaojun Wang5, Yesilekin Nebi6

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6107-6118, 2022, DOI:10.32604/cmc.2022.027611

    Abstract Climate change has inevitably had a negative impact on agricultural production and food security. Crop breeding improvement is an efficient option to adapt to future climate and increase grain production. To study the potential to provide valuable advice for breeding under climate change condition, the crop growth model was used as basis to investigate, the effects of the cultivar genotype parameters of the crop estimation through resource and environment synthesis-wheat (CERES-Wheat) model on yield under different climate scenarios. In this study, solar radiation had a positive effect on the yield of winter wheat, while the… More >

  • Open Access

    ARTICLE

    A Robust Emergency Messages Routing Scheme for Urban VANETs

    Mumtaz Ali Shah1,2,*, Farrukh Zeeshan Khan1, Ghulam Abbas2

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2617-2632, 2022, DOI:10.32604/cmc.2022.025981

    Abstract Vehicular ad-hoc networks (VANETs) play an essential role in enhancing transport infrastructure by making vehicles intelligent and proficient in preventing traffic fatalities. Direction-based greedy protocols pick the next route vehicle for transmitting emergency messages (EMs) depending upon the present location of adjacent vehicles towards sink vehicles by using an optimal uni-directional road traffic approach. Nevertheless, such protocols suffer performance degradation by ignoring the moving directions of vehicles in bi-directional road traffic where topological changes happen continuously. Due to the high number of vehicles, it is essential to broadcast EMs to all vehicles to prevent traffic… More >

  • Open Access

    ARTICLE

    Feature Selection with Optimal Stacked Sparse Autoencoder for Data Mining

    Manar Ahmed Hamza1,*, Siwar Ben Haj Hassine2, Ibrahim Abunadi3, Fahd N. Al-Wesabi2,4, Hadeel Alsolai5, Anwer Mustafa Hilal1, Ishfaq Yaseen1, Abdelwahed Motwakel1

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2581-2596, 2022, DOI:10.32604/cmc.2022.024764

    Abstract Data mining in the educational field can be used to optimize the teaching and learning performance among the students. The recently developed machine learning (ML) and deep learning (DL) approaches can be utilized to mine the data effectively. This study proposes an Improved Sailfish Optimizer-based Feature Selection with Optimal Stacked Sparse Autoencoder (ISOFS-OSSAE) for data mining and pattern recognition in the educational sector. The proposed ISOFS-OSSAE model aims to mine the educational data and derive decisions based on the feature selection and classification process. Moreover, the ISOFS-OSSAE model involves the design of the ISOFS technique More >

  • Open Access

    ARTICLE

    Computational Approximations for Real-World Application of Epidemic Model

    Shami A. M. Alsallami1, Ali Raza2,*, Mona Elmahi3, Muhammad Rafiq4, Shamas Bilal5, Nauman Ahmed6, Emad E. Mahmoud7

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1923-1939, 2022, DOI:10.32604/iasc.2022.024993

    Abstract The real-world applications and analysis have a significant role in the scientific literature. For instance, mathematical modeling, computer graphics, camera, operating system, Java, disk encryption, web, streaming, and many more are the applications of real-world problems. In this case, we consider disease modeling and its computational treatment. Computational approximations have a significant role in different sciences such as behavioral, social, physical, and biological sciences. But the well-known techniques that are widely used in the literature have many problems. These methods are not consistent with the physical nature and even violate the actual behavior of the… More >

  • Open Access

    ARTICLE

    SSABA: Search Step Adjustment Based Algorithm

    Fatemeh Ahmadi Zeidabadi1, Ali Dehghani2, Mohammad Dehghani3, Zeinab Montazeri4, Štěpán Hubálovský5, Pavel Trojovský3,*, Gaurav Dhiman6

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4237-4256, 2022, DOI:10.32604/cmc.2022.023682

    Abstract Finding the suitable solution to optimization problems is a fundamental challenge in various sciences. Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new stochastic optimization algorithm called Search Step Adjustment Based Algorithm (SSABA) is presented to provide quasi-optimal solutions to various optimization problems. In the initial iterations of the algorithm, the step index is set to the highest value for a comprehensive search of the search space. Then, with increasing repetitions in order to focus the search of the algorithm in achieving the optimal solution closer… More >

  • Open Access

    ARTICLE

    A Cloud-Based Secure Emergency Message Dissemination Scheme in Vehicular Adhoc Networks

    R. Rajasekar1,*, P. Sivakumar2

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 117-131, 2022, DOI:10.32604/iasc.2022.023372

    Abstract The Internet of vehicles and vehicular ad-hoc networks (VANET) offers numerous opportunities for managing the transportation problems effectively. The high mobility and wireless communication in VANET lead to adequate network topology modifications, resulting in network instability and insecure data communication. With an unsteady flow of traffic, vehicles are unevenly distributed in the geographical areas in practice. A new type 2 fuzzy logic-based secure clustering (T2FLSC) with cloud-based data dissemination scheme called the T2FLSC-CDD model for the VANET has been introduced for resolving this issue. The vehicles are dynamically clustered by the use of the T2FLSC… More >

  • Open Access

    ARTICLE

    IOTA-Based Data Encryption Storage and Retrieval Method

    Hongchao Ma1,*, Yi Man1, Xiao Xing2, Zihan Zhuo2, Mo Chen3

    Journal of Quantum Computing, Vol.3, No.3, pp. 97-105, 2021, DOI:10.32604/jqc.2021.016775

    Abstract At present, the traditional blockchain for data storage and retrieval reflects the characteristics of slow data uploading speed, high cost, and transparency, and there are a lot of corresponding problems, such as not supporting private data storage, large data operation costs, and not supporting Data field query. This paper proposes a method of data encryption storage and retrieval based on the IOTA distributed ledger, combined with the fast transaction processing speed and zero-value transactions of the IOTA blockchain, through the Masked Authenticated Messaging technology, so that the data is encrypted in the data stream. The More >

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