Showing 2,601 - 2,620 results of 4,000 for search '(((spinae OR shine) OR (spike OR fine)) OR ((ann OR peng) OR (((ping OR ming) OR yong) OR ling)))', query time: 0.22s Refine Results
  1. 2601

    Modeling polarity-driven laminar patterns in bilayer tissues with mixed signaling mechanisms by Moore, JW, Dale, TC, Woolley, TE

    Published 2023
    “…Motivated by cellular mechanisms that control cell-fate decisions in developing bilayer tissues, we use dynamical systems coupled with multilayer graphs to analyze the role of signaling polarity and pathway crosstalk in fine-grain pattern formation of protein activity. …”
    Journal article
  2. 2602

    Animatezoo: zero-shot video generation of cross-species animation via subject alignment by Xu, Y, Chen, Y, Huang, Z, He, Z, Wang, G, Torr, PHS, Lin, L

    Published 2024
    “…These components are specifically designed to capture essential appearance information, including identity and fine details. Second, we align shape features and addressconflicts from differing subjects by introducing a scale-information remover. …”
    Internet publication
  3. 2603

    Optimizing Sustainable Concrete Strength With Laminated Waste Glass (Lwg): Insights From Waterto-Cement Ratios And Slump Values (0.35-0.5) by Mohd Roslan, Muhammad Lutfi Fitri, Mohd Zuki, Sharifah Salwa, Shahidan, Shahiron, Mohammad Azmi, Mohamad Azim

    Published 2024
    “…This study investigates the use of laminated waste glass (LWG) as a fine aggregate in concrete, with a focus on optimizing strength and workability through variation in water-to-cement (w/c) ratios. …”
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    Article
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  12. 2612

    Hybrid modeling in the predictive analytics of energy systems and prices by Gulay, Emrah, Duru, Okan

    Published 2022
    “…In this regard, the proposed algorithm hybridizes or combines linear components captured by the Autoregressive Distributed Lag Model (ARDL) and nonlinear components processed by the Empirical Mode Decomposition (EMD) and an Artificial Neural Network (ANN) to improve post-sample accuracy. The conventional reiterative process can improve in-sample accuracy, which literally has no value for business forecasting practices. …”
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    Journal Article
  13. 2613

    Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake by Purohit, Shantanu, Ng, Eddie Yin Kwee, Ijaz Fazil Syed Ahmed Kabir

    Published 2022
    “…In this paper, three machine learning (ML) algorithms, Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost), are validated to estimate the velocity and turbulence intensity of a wind turbine's wake at distinct downstream distances. …”
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    Journal Article
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    Liquid state machine with dendritically enhanced readout for low-power, neuromorphic VLSI implementations by Roy, Subhrajit, Banerjee, Amitava, Basu, Arindam

    Published 2015
    “…We show that compared to a single perceptron using analog weights, this architecture for the readout can attain, even by using the same number of binary valued synapses, up to 3.3 times less error for a two-class spike train classification problem and 2.4 times less error for an input rate approximation task. …”
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    Journal Article
  18. 2618

    Characterising the T cell responses to SARS-CoV-2 including variants of concern induced by natural infection and vaccines by Adele, S

    Published 2024
    “…Chapter 4 expands on T cell responses to VOCs, showing that vaccinated individuals maintain significant T cell reactivity across VOCs despite spike protein mutations that diminish antibody neutralization efficacy. …”
    Thesis
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