Showing 1,841 - 1,860 results of 2,836 for search '((pinned OR (fine OR linene)) OR ((((aina OR ainaa) OR annaa) OR (pin OR ling)) OR min))', query time: 0.18s Refine Results
  1. 1841
  2. 1842
  3. 1843
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  7. 1847

    On the higher-order edge toughness of a graph by Chen, C.C., Koh, K.M., Peng, Y.H.

    Published 1993
    “…For an integer c, 1≤c≤{curly logical or}V(G){curly logical or}-1, we define the cth-order edge toughness of a graph G as tc(G)=min |X| ω(G-X)-cX⊆E(G) & ω(G-X)>c The objective of this paper is to study this generalized concept of edge toughness. …”
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    Article
  8. 1848

    Fungal colonization of rice straw and palm press fibre in the rumen of cattle and buffalo by Ho, Y.W., Abdullah, N., Jalaludin, S.

    Published 1991
    “…In both animal species, attachment to rice straw by rumen fungal zoospores was rapid, within 15 min of rumen incubation. At 6 h of rumen incubation, thin- and thick-walled tissues were colonized by fungal hyphae and by 24 h fungal colonization was extensive. …”
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    Article
  9. 1849

    Mobility patterns are associated with experienced income segregation in large US cities by Moro, Esteban, Calacci, Dan, Dong, Xiaowen, Pentland, Alex

    Published 2021
    “…To further understand these fine-grained income segregation patterns, we introduce a Schelling extension of a well-known mobility model, and show that experienced income segregation is associated with an individual’s tendency to explore new places (place exploration) as well as places with visitors from different income groups (social exploration). …”
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    Article
  10. 1850

    Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling by Kompella, Sarvagnya

    Published 2024
    “…Stress and strain analyses demonstrated how operational factors, such as roll settings, influence section shapes and angles, facilitating the fine-tuning of roll forming station parameters. Using a Design of Experiments (DOE) framework, the study pinpointed critical factors to improve simulation accuracy and optimize roll forming settings. …”
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    Thesis
  11. 1851

    Exploiting irregular parallelism to accelerate FPGA routing by Zhu, Alan Y.

    Published 2024
    “…This parallelism can be exploited on parallel architectures that provide hardware support for ordered tasks and fine-grained speculation, such as the Swarm architecture. …”
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    Thesis
  12. 1852

    Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling by Blum, Yannick, Mikelson, Jan, Dobrzyński, Maciej, Ryu, Hyunryul, Jacques, Marc‐Antoine, Jeon, Noo L., Khammash, Mustafa, Pertz, Olivier

    Published 2024
    “…Our results provide novel insights into how different receptor tyrosine kinase (RTK) systems differentially wire the MAPK network to fine‐tune fate decisions at the cell population level.…”
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    Article
  13. 1853
  14. 1854

    Generating domain-specific paraphrases of questions from FAQ by Ng, Jing Rui

    Published 2021
    “…Firstly, T5 is used to fine-tune on the paraphrase dataset for the task of paraphrase generation. …”
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    Final Year Project (FYP)
  15. 1855
  16. 1856

    Aspect-based sentiment analysis using BERT by Kheriwala, Hussain Khozema

    Published 2022
    “…Aspect-based sentiment analysis extracts and identifies fine-grained sentiment polarities for a specific aspect. …”
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    Final Year Project (FYP)
  17. 1857

    The city you'll never meet by Lim, Ying Quan

    Published 2022
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    Final Year Project (FYP)
  18. 1858

    Soulvurn by Tan, Sherneese

    Published 2022
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    Final Year Project (FYP)
  19. 1859

    Visual mapping art : data visualization & crowdsourcing for an ostensive definition of art by Ong, Zi Feng

    Published 2023
    “…The core data will be gathered from existing art databases, such as the Library of Congress (LCC) (Class-N - Fine Arts) and the Universal Decimal Classification (UDC) (73/76 Various arts & crafts); and controlled vocabulary systems such as Art & Architecture Thesaurus (AAT). …”
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    Thesis-Master by Research
  20. 1860

    Deep learning for fabric defect detection by Nangia, Saniya

    Published 2024
    “…The base models, YOLOv8 and RT-DETR, are fine-tuned on a dataset of patterned fabric defects to find the optimal model configurations. …”
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    Final Year Project (FYP)