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    Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision by Xin Bai, Zi Zhang

    Published 2025-01-01
    “…Researchers have already used vibration data and deep learning methods, such as Convolutional Neural Networks (CNNs), to detect structural damage. …”
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    Adaptive Neural Networks Control Using Barrier Lyapunov Functions for DC Motor System with Time-Varying State Constraints by Lei Ma, Dapeng Li

    Published 2018-01-01
    “…This paper proposes an adaptive neural network (NN) control approach for a direct-current (DC) system with full state constraints. …”
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    Developing a Method for Building Business Process Models Based on Graph Neural Networks in the Absence of Task Identifier Data by Oleg Kazakov, Natalya Azarenko, Irina Kozlova

    Published 2024-01-01
    “…The aim of the study is to develop a method of creating business process models through the restoration of links between events recorded in logs in the absence of CaseID data based on graph neural networks. The problem is solved by applying the graph convolutional networks architecture. …”
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    Determination of Optimal Drop Height in Free-Fall Shock Test Using Regression Analysis and Back-Propagation Neural Network by Chao-Rong Chen, Chia-Hung Wu, Hsin-Tsrong Lee

    Published 2014-01-01
    “…To improve the conventional approaches, this study proposes the application of regression analysis and back-propagation neural network for determining the most suitable drop height for free-fall shock tests. …”
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    Metatranscriptomics as a tool to identify fungal species and subspecies in mixed communities – a proof of concept under laboratory conditions by Vanesa R. Marcelino, Laszlo Irinyi, John-Sebastian Eden, Wieland Meyer, Edward C. Holmes, Tania C. Sorrell

    Published 2019-08-01
    “…Using a model mock community comprising 17 fungal isolates, we evaluated whether metatranscriptomics can accurately identify fungal species and subspecies in mixed communities. …”
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    Beta-Blocker Therapy Preserves Normal Splenic T-Lymphocyte Numbers Reduced in Proportion to Sepsis Severity in a Sepsis Model by Takeshi Suzuki, Kei Inoue, Toru Igarashi, Jungo Kato, Hiromasa Nagata, Takashige Yamada, Shizuka Minamishima, Hiroshi Morisaki

    Published 2019-01-01
    “…Beta-blocker therapy might improve sepsis-induced immunosuppression via normal splenic T-lymphocyte preservation.…”
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    Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

    Published 2024-04-01
    “…The second aspect demonstrates: (4) CHIMERE-Artificial Neural Network (CHIMERE-ANN) demonstrates high accuracy in predicting ozone levels for Agadir and Casablanca, achieving improved correlation coefficients of 80% and 94%, respectively, accompanied by a notable decrease in Root Mean Square Error (RMSE) to 7.5 µg m–3 and 7.4 µg m–3. (5) Implementing CHIMERE-ANN with high spatial resolution concentrations (RA3 and RC3) enhances the accuracy of pollutant concentration forecasts. …”
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    Simulation of Normally-Off Vertical GaN MOSFET with a Novel Enhanced Sidewall Channel by Selective Area Growth by Jiyao Du, Taofei Pu, Xiaobo Li, Liuan Li, Jinping Ao, Hongwei Gao

    Published 2025-01-01
    “…In the present study, a novel normally-off vertical GaN MOSFET with an enhanced AlGaN/GaN channel on the sidewall has been proposed using the technology computer-aided design (TCAD) simulation. …”
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    Evaluating the Biodeterioration Enzymatic Activities of Fungal Contamination Isolated from Some Ancient Yemeni Mummies Preserved in the National Museum by Khalid Mohammed Naji, Qais Yusuf M. Abdullah, Aida Qaseem M. AL-Zaqri, Saeed M. Alghalibi

    Published 2014-01-01
    “…Five of these mummies were used to evaluate hydrolytic enzymes produced as a result of fungal contamination. Forty-seven fungal species were isolated, thereby reflecting a high degree of contamination which may have resulted from the poor ventilation and preservation system. …”
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