Showing 661 - 680 results of 1,069 for search '((shinae OR (hinge OR hinges)) OR (((spinggl OR sspinggl) OR ((anna OR ann) OR mingao)) OR ming))', query time: 0.17s Refine Results
  1. 661

    America’s “China-First” grand strategy and the transatlantic bargain: revisiting the security–economics nexus by Desmaele, Linde

    Published 2024
    “…This debate has overlooked a crucial point: Washington’s security commitment to Europe is not only about military power but also hinges on European acquiescence to Washington’s politico-economic leadership position. …”
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    Article
  2. 662

    Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment by Tok, Wei Sheng

    Published 2024
    “…An Artificial Neural Network (ANN) model is implemented to predict penetration outcomes of UAV impacts, while an ANN-Convolutional Neural Network (CNN) model is used to predict FEA deformation images resulting from these impacts. …”
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    Final Year Project (FYP)
  3. 663
  4. 664

    Anomaly detection in aerosol jet printing via computer vision & machine learning by Ang, Ryan Wei Hao

    Published 2023
    “…Hence, this paper aims to develop, and more importantly, fine-tune, an in-situ monitoring algorithm that will be implemented into the Aerosol Jet Printing system with the help of an Object Detection Model, which hinges upon the principles of Deep Learning (DL), and Computer Vision (CV). …”
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    Final Year Project (FYP)
  5. 665

    The Rise and Fall of the Ideal City by Scarso, Jacek Ludwig

    Published 2023
    “…Curated by Jacek Ludwig Scarso with Luisa Bravo and Anna Marazuela Kim. The Renaissance concept of the Ideal City is here a provocation to critically explore the ideological connotations of the urban context and the need for social change, locally and globally. …”
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    Show/Exhibition
  6. 666

    4D printing of heat-driven self-assembly structures (Part II) by Teo, Jin Howe

    Published 2015
    “…First, the fabrication conditions of heat-driven self-assembly structures are examined. Hinges are printed with varying materials and dimensional parameters, and the resulting recovery time and the angle integrity are analysed. …”
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    Final Year Project (FYP)
  7. 667

    On fundamental aspects of quantum extreme learning machines by Xiong, W, Facelli, G, Sahebi, M, Agnel, O, Chotibut, T, Thanasilp, S, Holmes, Z

    Published 2025
    “…Notably, the expressivity of QELMs is fundamentally limited by the number of Fourier frequencies and the number of observables, while the complexity of the prediction hinges on the reservoir. As a cautionary note on scalability, we identify four sources that can lead to the exponential concentration of the observables as the system size grows (randomness, hardware noise, entanglement, and global measurements) and show how this can turn QELMs into useless input-agnostic oracles. …”
    Journal article
  8. 668

    Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis by Patil, C, Theotokatos, G, Wu, Y, Lyons, T

    Published 2024
    “…A parametric study is performed to quantify the logS number impact on the ANN regression models accuracy and training time. …”
    Journal article
  9. 669

    The ideational approach by Busby, Ethan, Chryssogelos, Angelos, Hawkins, Eliza Tanner, Hawkins, Kirk, Littvay, Levente, Wiesehomeier, Nina

    Published 2024
    “…At all three levels, we argue that populism has a distinct impact that hinges on the intensity of populist beliefs of actors, particularly when these are in power. …”
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    Book Section
  10. 670
  11. 671

    Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

    Published 2017
    “…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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    Conference Paper
  12. 672
  13. 673

    Event detection in spatiotemporal soccer data using neural networks by Wilbert

    Published 2021
    “…This project implements and evaluates three-layer and four-layer artificial neural networks (ANN(3) and ANN(4)) as well as recurrent neural networks (RNNs) for automatic event detection in spatiotemporal soccer data. …”
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    Final Year Project (FYP)
  14. 674

    Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

    Published 2023
    “…In this work, we proposed a physics-guided neural network (PGNN) for tissue optical properties regression which integrates physics prior and constraint into the artificial neural network (ANN) model. With this method, we have demonstrated superior generalizability of PGNN compared to its pure ANN counterpart. …”
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    Journal Article
  15. 675
  16. 676

    Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

    Published 2017
    “…Two different models of Artificial Neural Network(ANN), namely Backpropagation(BP) model and Radial Basis Function(RBF) model, are constructed and evaluated. …”
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    Final Year Project (FYP)
  17. 677
  18. 678
  19. 679

    Structural behaviour of 2D post-tensioned precast beam-column sub-assemblages subjected to column loss scenario by Tran, Manh Ha, Tan, Kang Hai

    Published 2023
    “…The test results indicated that both unbonded and bonded parabolic-shaped PT significantly enhanced compressive arch action (CAA) and catenary action (CA) beyond basic flexural capacity, and also changed the plastic hinge mechanism in the precast beams. The specimen with unbonded PT could provide greater residual capacity than bonded PT, but the former was severely damaged by fracture of normal reinforcement and crushing of concrete rather than fracture of the tendon. …”
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    Journal Article
  20. 680

    A proposed framework of research on the influencing factors of burnout-based on the perspective of individual work scenarios by Lu, Guangguo, Kanjanapathy, Malini, Mohamed Saat, Maisarah

    Published 2024
    “…This issue is particularly significant in the manufacturing industry where the future growth hinges on the expertise and well-being of highly skilled professionals. …”
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    Article