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  • Open Access

    ARTICLE

    Intelligent Machine Learning Based Brain Tumor Segmentation through Multi-Layer Hybrid U-Net with CNN Feature Integration

    Sharaf J. Malebary*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047917

    Abstract Brain tumors are a pressing public health concern, characterized by their high mortality and morbidity rates. Nevertheless, the manual segmentation of brain tumors remains a laborious and error-prone task, necessitating the development of more precise and efficient methodologies. To address this formidable challenge, we propose an advanced approach for segmenting brain tumor Magnetic Resonance Imaging (MRI) images that harnesses the formidable capabilities of deep learning and convolutional neural networks (CNNs). While CNN-based methods have displayed promise in the realm of brain tumor segmentation, the intricate nature of these tumors, marked by irregular shapes, varying sizes, uneven distribution, and limited available… More >

  • Open Access

    REVIEW

    Internet of Things Authentication Protocols: Comparative Study

    Souhayla Dargaoui1, Mourade Azrour1,*, Ahmad El Allaoui1, Azidine Guezzaz2, Abdulatif Alabdulatif3, Abdullah Alnajim4

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047625

    Abstract Nowadays, devices are connected across all areas, from intelligent buildings and smart cities to Industry 4.0 and smart healthcare. With the exponential growth of Internet of Things usage in our world, IoT security is still the biggest challenge for its deployment. The main goal of IoT security is to ensure the accessibility of services provided by an IoT environment, protect privacy, and confidentiality, and guarantee the safety of IoT users, infrastructures, data, and devices. Authentication, as the first line of defense against security threats, becomes the priority of everyone. It can either grant or deny users access to resources according… More >

  • Open Access

    ARTICLE

    MAPK9 as a therapeutic target: unveiling ferroptosis in localized prostate cancer progression

    CHENG-GONG LUO1,2,#, JIAO ZHANG1,#, YUN-ZHAO AN1, XUAN LIU1, SHUAI-JIE LI1, WEI ZHANG1, KAI LI1, XU ZHAO1, DONG-BO YUAN1, LING-YUE AN1, WEI CHEN2, YE TIAN1,*, BIN XU1,*

    BIOCELL, Vol., , DOI:10.32604/biocell.2024.048878

    Abstract Background: Ferroptosis, a lipid peroxidation-mediated programmed cell death, is closely linked to tumor development, including prostate cancer (PCa). Despite established connections between ferroptosis and PCa, a comprehensive investigation is essential for understanding its impact on patient prognosis. Methods: A risk model incorporating four ferroptosis-related genes was developed and validated. Elevated risk scores correlated with an increased likelihood of biochemical recurrence (BCR), diminished immune infiltration, and adverse clinicopathological characteristics. To corroborate these results, we performed validation analyses utilizing datasets from both the Cancer Genome Atlas Cohort (TCGA) and the Gene Expression Synthesis Cohort (GEO). Moreover, we conducted further investigations into the… More >

  • Open Access

    ARTICLE

    3-Methyladenine potentiates paclitaxel-induced apoptosis and phosphorylation of cyclin-dependent kinase 1 at thr161 in nasopharyngeal carcinoma cell

    XIAOQI WU1,2,#, YECHUAN HE1,2,#, YEQIN YUAN4, XIAN TAN1,2, LIN ZHU1,2, DANLING WANG1,2,4, BINYUAN JIANG3,4,*

    BIOCELL, Vol., , DOI:10.32604/biocell.2024.048758

    Abstract Background: Nasopharyngeal carcinoma (NPC) exhibits a significant prevalence in the southern regions of China, and paclitaxel (PTX) is frequently employed as a medication for managing advanced NPC. However, drug resistance is typically accompanied by a poor prognosis. Exploring the synergistic potential of combining multiple chemotherapeutic agents may represent a promising avenue for optimizing treatment efficacy. Methods: This study investigated whether 3-Methyladenine (3-MA) could potentiated the effect of PTX and its potential molecular mechanism. Samples were divided into the following categories: Negative control (NC) with the solvent dimethyl sulfoxide (DMSO, 0.5% v/v), PTX (400 nM), 3-MA (4 mM), and PTX (400… More >

  • Open Access

    ARTICLE

    Research on Fatigue Damage Behavior of Main Beam Sub-Structure of Composite Wind Turbine Blade

    Haixia Kou1,*, Bowen Yang1, Xuyao Zhang2, Xiaobo Yang1, Haibo Zhao1

    Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2024.045023

    Abstract Given the difficulty in accurately evaluating the fatigue performance of large composite wind turbine blades (referred to as blades), this paper takes the main beam structure of the blade with a rectangular cross-section as the simulation object and establishes a composite laminate rectangular beam structure that simultaneously includes the flange, web, and adhesive layer, referred to as the blade main beam sub-structure specimen, through the definition of blade sub-structures. This paper examines the progressive damage evolution law of the composite laminate rectangular beam utilizing an improved 3D Hashin failure criterion, cohesive zone model, B-K failure criterion, and computer simulation technology.… More >

  • Open Access

    ARTICLE

    A Reference Vector-Assisted Many-Objective Optimization Algorithm with Adaptive Niche Dominance Relation

    Fangzhen Ge1,3, Yating Wu1,*, Debao Chen2,4, Longfeng Shen1,5

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2024.042841

    Abstract It is still a huge challenge for traditional Pareto-dominated many-objective optimization algorithms to solve many-objective optimization problems because these algorithms hardly maintain the balance between convergence and diversity and can only find a group of solutions focused on a small area on the Pareto front, resulting in poor performance of those algorithms. For this reason, we propose a reference vector-assisted algorithm with an adaptive niche dominance relation, for short MaOEA-AR. The new dominance relation forms a niche based on the angle between candidate solutions. By comparing these solutions, the solution with the best convergence is found to be the non-dominated… More >

  • Open Access

    ARTICLE

    An Experimental and Numerical Thermal Flow Analysis in a Solar Air Collector with Different Delta Wing Height Ratios

    Ghobad Shafiei Sabet1,*, Ali Sari1, Ahmad Fakhari2,*, Nasrin Afsarimanesh3, Dominic Organ4, Seyed Mehran Hoseini1

    Frontiers in Heat and Mass Transfer, Vol., , DOI:10.32604/fhmt.2024.048290

    Abstract This study conducts both numerical and empirical assessments of thermal transfer and fluid flow characteristics in a Solar Air Collector (SAC) using a Delta Wing Vortex Generator (DWVG), and the effects of different height ratios (Rh = 0.6, 0.8, 1, 1.2 and 1.4) in delta wing vortex generators, which were not considered in the earlier studies, are investigated. Energy and exergy analyses are performed to gain maximum efficiency. The Reynolds number based on the outlet velocity and hydraulic diameter falls between 4400 and 22000, corresponding to the volume flow rate of 5.21–26.07 m3/h. It is observed that the delta wing… More >

  • Open Access

    ARTICLE

    Experimental Investigation of Wave–Current Loads on a Bridge Shuttle-Shaped Cap–Pile Foundation

    Chenkai Hong1,2,*, Zhongda Lyu2,*, Fei Wang2, Zhuo Zhao2, Lei Wang2

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2024.042685

    Abstract To scrutinize the characteristics of wave–current loads on a bridge shuttle-shaped cap–pile foundation, a 1:125 test model was considered in a laboratory flume. The inline, transverse and vertical wave–current forces acting on the shuttle-shaped cap–pile group model were measured considering both random waves and a combination of random waves with a current. The experimental results have shown that the wave–current forces can be well correlated with the wave height, the wavelength, the current velocity, the incident direction and the water level in the marine environment. An increase in the current velocity can lead to a sharp increase in the inline… More >

  • Open Access

    ARTICLE

    Migratable Power System Transient Stability Assessment Method Based on Improved XGBoost

    Ying Qu1, Jinhao Wang1, Xueting Cheng1, Jie Hao1, Weiru Wang1, Zhewen Niu2, Yuxiang Wu2,*

    Energy Engineering, Vol., , DOI:10.32604/ee.2024.048300

    Abstract The data-driven transient stability assessment (TSA) of power systems can predict online real-time prediction by learning the temporal features before and after faults. However, the accuracy of the assessment is limited by the quality of the data and has weak transferability. Based on this, this paper proposes a method for TSA of power systems based on an improved extreme gradient boosting (XGBoost) model. Firstly, the gradient detection method is employed to remove noise interference while maintaining the original time series trend. On this basis, a focal loss function is introduced to guide the training of the XGBoost model, enhancing the… More >

  • Open Access

    ARTICLE

    A Hand Features Based Fusion Recognition Network with Enhancing Multi-Modal Correlation

    Wei Wu*, Yuan Zhang, Yunpeng Li, Chuanyang Li, Yan Hao

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.049174

    Abstract Fusing hand-based features in multi-modal biometric recognition enhances anti-spoofing capabilities. Additionally, it leverages inter-modal correlation to enhance recognition performance. Concurrently, the robustness and recognition performance of the system can be enhanced through judiciously leveraging the correlation among multimodal features. Nevertheless, two issues persist in multi-modal feature fusion recognition: Firstly, the enhancement of recognition performance in fusion recognition has not comprehensively considered the inter-modality correlations among distinct modalities. Secondly, during modal fusion, improper weight selection diminishes the salience of crucial modal features, thereby diminishing the overall recognition performance. To address these two issues, we introduce an enhanced DenseNet multimodal recognition network… More > Graphic Abstract

    A Hand Features Based Fusion Recognition Network with Enhancing Multi-Modal Correlation

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