Showing 661 - 680 results of 2,594 for search 'loading features', query time: 0.12s Refine Results
  1. 661

    A review of the experimental and numerical studies on the compression behavior of the additively produced metallic lattice structures at high and low strain rates by Muhammad Arslan Bin Riaz, Mustafa Güden

    Published 2025-07-01
    “…One potential application of metallic lattice structures is in the impact load mitigation where an external kinetic energy is absorbed by the deformation/crushing of lattice cells. …”
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    Article
  2. 662

    Overcoming the resistance of hepatocellular carcinoma to PD-1/PD-L1 inhibitor and the resultant immunosuppression by CD38 siRNA-loaded extracellular vesicles by Jun Deng, Hui Ke

    Published 2023-12-01
    “…Our results provide functional evidence for the use of EV-mediated delivery of CD38 siRNA to prevent immunosuppression feature of HCC.…”
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  3. 663
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    Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques by Hazem Samih Mohamed, Tang Qiong, Haytham F. Isleem, Rupesh Kumar Tipu, Ramy I. Shahin, Saad A. Yehia, Pradeep Jangir, Arpita, Mohammad Khishe

    Published 2024-11-01
    “…The results from SHAP indicate that the eccentric loading ratio (e/2a) has the most significant effect on the load-carrying capacity of elliptical CFST short columns, followed by the yield strength of the outer steel tube ( $$\:{f}_{yo}$$ ) and the inner width of the inner steel tube ( $$\:2{a}_{ii}$$ ). …”
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  5. 665
  6. 666

    A Mechanical Fault Identification Method for On-Load Tap Changers Based on Hybrid Time—Frequency Graphs of Vibration Signals and DSCNN-SVM with Small Sample Sizes by Yanhui Shi, Yanjun Ruan, Liangchuang Li, Bo Zhang, Yichao Huang, Mao Xia, Kaiwen Yuan, Zhao Luo, Sizhao Lu

    Published 2024-10-01
    “…Secondly, these time–frequency graphs are input into the CNN to extract key features. In the fusion layer, the feature vectors from the STFT and SWT graphs are combined to form a fusion vector that encompasses both global and local time–frequency features. …”
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  7. 667

    A Novel Approach of Wind Turbine Blade Root Load Monitoring Based on Bearings Vibrational Data and a New AE‐LSTM‐Attention Neural Network by Feiyun Cong, Chen Liang, Weifei Hu, Tongzhou Zhang, Feng Tang, Qihao Zhou

    Published 2025-05-01
    “…ABSTRACT The monitoring of wind turbine blade root load (BRL) has always been a valuable yet highly challenging problem. …”
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  8. 668

    ADS-YOLO: A Multi-Scale Feature Extraction Remote Sensing Image Object Detection Algorithm Based on Dilated Residuals by Jianying Li, Yajun Chen, Meiqi Niu, Wenhao Cai, Xiaoyang Qiu

    Published 2025-01-01
    “…To address these issues, we propose an algorithm for multi-scale feature extraction in remote sensing image detection using dilated residuals (ADS-YOLO). …”
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  13. 673

    M-RSF: a multilevel feedback queue task scheduling mechanism for Unikernel by DONG Bonan, YANG Qiusong, LI Mingshu

    Published 2024-05-01
    “…Meanwhile, a new load model was put forward based on an in-depth analysis of task characteristics. …”
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  14. 674

    Beyond realism: Rethinking VR design for optimal learning in technical and vocational secondary education by Charlotte Larmuseau, Laetitia De Leersnijder, Tijs Rotsaert, Carl Boel, Jelle Demanet, Tammy Schellens

    Published 2025-06-01
    “…Contrary to expectations, the results showed no significant differences in cognitive load between conditions, challenging the assumptions of Cognitive Load Theory (CLT). …”
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  15. 675

    A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

    Published 2025-01-01
    “…Moreover, adding FECAM to extract features from the data fully reveals the relationship between influencing factors and the load series, which improves the quality of data features and the forecasting accuracy of the FAGSNP model. …”
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    Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro... by Lanqian Yang, Jinmin Guo, Huili Tian, Min Liu, Chang Huang, Yang Cai

    Published 2025-01-01
    “…Under the condition of lacking meteorological forecast data, this paper proposes to utilize a temporal convolutional network (TCN) to extract the coupled spatial features among multivariate loads. The reconstructed features are then input into the long short-term memory (LSTM) neural network to achieve the extraction of load time features. …”
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    Primary Fixation Feature Design Does Not Influence Total Ankle Tibial Component Stability When Implanted with Press-Fit in High Density Bone by Joshua E. Johnson PhD, Gabriel A. Clarke MS, Cesar de Cesar Netto MD, PhD, Donald D. Anderson PhD

    Published 2024-12-01
    “…Commercial TAR tibial components are available in a wide range of fixation feature shape and size designs to aid primary fixation stability. …”
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