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  • Open Access

    ARTICLE

    Hybrid Optimisation with Black Hole Algorithm for Improving Network Lifespan

    S. Siamala Devi1, Chandrakala Kuruba2, Yunyoung Nam3,*, Mohamed Abouhawwash4,5

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1873-1887, 2023, DOI:10.32604/iasc.2023.025504

    Abstract Wireless sensor networks (WSNs) are projected to have a wide range of applications in the future. The fundamental problem with WSN is that it has a finite lifespan. Clustering a network is a common strategy for increasing the lifetime of WSNs and, as a result, allowing for faster data transmission. The clustering algorithm’s goal is to select the best cluster head (CH). In the existing system, Hybrid grey wolf sunflower optimization algorithm (HGWSFO)and optimal cluster head selection method is used. It does not provide better competence and output in the network. Therefore, the proposed Hybrid Grey Wolf Ant Colony Optimisation… More >

  • Open Access

    ARTICLE

    Multi-Site Air Pollutant Prediction Using Long Short Term Memory

    Chitra Paulpandi*, Murukesh Chinnasamy, Shanker Nagalingam Rajendiran

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1341-1355, 2022, DOI:10.32604/csse.2022.023882

    Abstract The current pandemic highlights the significance and impact of air pollution on individuals. When it comes to climate sustainability, air pollution is a major challenge. Because of the distinctive nature, unpredictability, and great changeability in the reality of toxins and particulates, detecting air quality is a puzzling task. Simultaneously, the ability to predict or classify and monitor air quality is becoming increasingly important, particularly in urban areas, due to the well documented negative impact of air pollution on resident’s health and the environment. To better comprehend the current condition of air quality, this research proposes predicting air pollution levels from… More >

  • Open Access

    ARTICLE

    CNR: A Cluster-Based Solution for Connectivity Restoration for Mobile WSNs

    Mahmood ul Hassan1,*, Amin Al-Awady1, Khalid Mahmood2, Shahzad Ali3, Ibrahim Algamdi1, Muhammad Kashif Saeed4, Safdar Zaman5

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3413-3427, 2021, DOI:10.32604/cmc.2021.018544

    Abstract Wireless Sensor Networks (WSNs) are an integral part of the Internet of Things (IoT) and are widely used in a plethora of applications. Typically, sensor networks operate in harsh environments where human intervention is often restricted, which makes battery replacement for sensor nodes impractical. Node failure due to battery drainage or harsh environmental conditions poses serious challenges to the connectivity of the network. Without a connectivity restoration mechanism, node failures ultimately lead to a network partition, which affects the basic function of the sensor network. Therefore, the research community actively concentrates on addressing and solving the challenges associated with connectivity… More >

  • Open Access

    ARTICLE

    Mutations du gène ESR1 : du fondamental à la clinique
    ESR1 Mutations: From Benchside to Bedside

    V. Massard, A. Harlé, L. Uwer, J.-L. Merlin

    Oncologie, Vol.21, No.1, pp. 29-32, 2019, DOI:10.3166/onco-2019-0027

    Abstract Acquired endocrine resistance remains one of the main obstacles in the treatment of estrogen receptor (ER) positive, HER2 negative advanced breast cancer. Recently, activating ESR1 gene mutations affecting the ligand-binding domain have been identified as a key mechanism in aromatase inhibitor (AI) resistance. These mutations can be detected on histological samples or circulating tumour DNA, using PCRbased assays or next-generation sequencing. They induce a constitutive activation of ER, leading to acquired resistance to AI; tamoxifen, fulvestrant and targeted therapies against mTOR or CDK4/6 retain their efficacy. The use of monitoring ESR1 mutations in clinical practice is still to be defined.… More >

  • Open Access

    ABSTRACT

    Finite element analysis on fire resistance of collar plate reinforced CHS T-joints

    CHEN Cheng, SHAO Yongbo, YANG Jie

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.16, No.4, pp. 117-118, 2011, DOI:10.3970/icces.2011.016.117

    Abstract A group of finite element models, reinforced circular hollow section (CHS) T-joints, are established to investigate the fire resistance compared with the un-reinforced by using finite element program ABAQUS in this paper. Sequentially coupled thermal-stress analysis is used to simulate the process of tubular T-joint under different loading levels in the condition of fire. The heat properties of the steel use the specified values in Eurocode 3. The fire resistance performance of collar plate reinforce CHS T-joints and the un-reinforced models are studied under different loading levels. The applied loads are 20%, 40%, 60% and 80% of the static strength… More >

  • Open Access

    ARTICLE

    High-Performance 3D Hybrid/Mixed, and Simple 3D Voronoi Cell Finite Elements, for Macro- & Micro-mechanical Modeling of Solids, Without Using Multi-field Variational Principles

    P. L. Bishay1, S.N. Atluri1

    CMES-Computer Modeling in Engineering & Sciences, Vol.84, No.1, pp. 41-98, 2012, DOI:10.3970/cmes.2012.084.041

    Abstract Higher-order two-dimensional as well as low and higher-order three-dimensional new Hybrid/Mixed (H/M) finite elements based on independently assumed displacement, and judiciously chosen strain fields, denoted by HMFEM-2, are developed here for applications in macro-mechanics. The idea of these new H/M finite elements is based on collocating the components of the independent strain field, with those derived from the independently assumed displacement fields at judiciously and cleverly chosen collocation points inside the element. This is unlike the other techniques used in older H/M finite elements where a two-field variational principle was used in order to enforce both equilibrium and compatibility conditions… More >

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