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    Multi-scale aware dual path network for face detection in resource-constrained edge computing environment by Qi QI, Yingxin MA, Jingyu WANG, Haifeng SUN, Jianxin LIAO

    Published 2020-08-01
    “…Aiming at the problem that face detectors with complex deep neural structures are difficult to deploy in the resource-constrained edge computing environment,to reduce the resource consumption while maintain the accuracy in complex scenes such as multi-scale face changes,occlusion,blur,and illumination,SDPN(multi-scale aware dual path network) for face detection was proposed.The Face-ResNet (face residual neural network) was improved,and a dual path shallow feature extractor was used to understand the multi-scale information of the image through parallel branches.Then the deep and shallow feature fusion module,a combination of the underlying image information and the high-level semantic feature,was used in conjunction with the multi-scale awareness training strategy to supervise the multi-branch learning discriminating features.The experimental results show that SDPN can extract more diversified features,which effectively improve the accuracy and robustness of face detection while maintaining the efficiency of the model and low inference delay.…”
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    Longitudinal displacement in viscoelastic arteries:A novel fluid-structure interaction computational model, and experimental validation by Martina Bukač, Sunčica Čanić

    Published 2012-12-01
    “…    This work presents a first step in understanding the role of longitudinal displacement in physiology and pathophysiology of arterial wall mechanicsusing computer simulations.…”
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  5. 1785

    Some Novel Sixth-Order Iteration Schemes for Computing Zeros of Nonlinear Scalar Equations and Their Applications in Engineering by M. A. Rehman, Amir Naseem, Thabet Abdeljawad

    Published 2021-01-01
    “…In this paper, we propose two novel iteration schemes for computing zeros of nonlinear equations in one dimension. …”
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    Localization of the Vertical Part of the Facial Nerve in the High-Resolution Computed Tomography During Pediatric Cochlear Implantation by Mahmoud Mandour, Mohamed Amer, Saad Elzayat, Edoardo Covelli, Maurizio Barbara, Rasha Lotfy, Haitham H. Elfarargy, Mohamed Osama Tomoum

    Published 2024-01-01
    “…Two physicians evaluated the preoperative computed tomography images of 334 patients and determined the radiological type of the VPFN. …”
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    Identification of Two Flavonoids as New and Safe Inhibitors of Kynurenine Aminotransferase II via Computational and In Vitro Study by Redouane Rebai, Luc Jasmin, Abdennacer Boudah

    Published 2025-01-01
    “…This study aimed to identify potent and safe inhibitors of KAT-II using computational and in vitro approaches. <b>Methods:</b> Virtual screening, MM/GBSA, and molecular dynamics simulations were conducted to identify the top drug candidates, followed by kinetic measurements and in vitro cytotoxicity evaluation. …”
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  10. 1790

    A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication by Yingyi Qiu, Han Liu, Mengyuan Zhao

    Published 2025-01-01
    “…Brain–computer interface (BCI) technologies for language decoding have emerged as a transformative bridge between neuroscience and artificial intelligence (AI), enabling direct neural–computational communication. …”
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  11. 1791

    Hyperactive Behavior Screening and Its Influencing Factors in Preschool Children Based on a Computer Cloud Platform by YIN Xiaona, SHEN Longbin, WANG Nan, ZHANG Jinyu, WU Jianbo, QIU Shuangyan, LEI Haiyan, CHEN Zhuoming

    Published 2024-02-01
    “…ObjectiveTo investigate the current situation of hyperactive behavior and related influencing factors in preschool children aged 4-5 years in Longhua District, Shenzhen, based on the intelligent active screening of computer cloud platform, with a view to realizing early screening of hyperactive behavior in preschool children.MethodsUsing the computer platform of Jingyun, a survey was conducted on 59,564 preschool children, aged 4-5 years, from 239 kindergartens in 6 neighborhoods in Longhua District, Shenzhen, who were just enrolled in the fall of 2019. …”
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    Improving High-Speed Interconnect Modeling: The Theta-Method for Accurate Simulation of Skin Effect and Computational Efficiency by Ait Errais Mouaad, Ait Belaid Khaoula, Belahrach Hassan, Zeroual Abdelouhab

    Published 2024-01-01
    “…Through comparative analyses with established FDTD methods, we demonstrate that the θ-method not only achieves significantly shorter computation times but also provides greater accuracy and stability. …”
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  14. 1794

    Predictive value of Frank’s sign for obstructive coronary artery disease confirmed by coronary computed tomography angiography by Truong Phi Hung, Nguyen Minh Kha, Dang Tuong Vi, Tran Trong Nhan, Hoang Van Sy

    Published 2025-02-01
    “…This cross-sectional study examined 124 consecutive Vietnamese individuals who underwent coronary computed tomography angiography at our center. Differences in patient characteristics and the association between Frank’s sign and CAD were analyzed using Chi-square and t-tests. …”
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