Showing 2,341 - 2,360 results of 3,682 for search '((spinazze OR (fine OR line)) OR (((pina OR bin) OR ping) OR ling))', query time: 0.16s Refine Results
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    Optimization of aerosol jet printed strain sensor design via computational simulation by Wong, Chee Khong

    Published 2017
    “…In addition, it is capable in achieving fine pitch and high resolution printing for nanomaterial. …”
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    Final Year Project (FYP)
  3. 2343

    Preface : two dimensional (2D) hybrid organic-inorganic perovskites by Li, Wei, Docampo, Pablo, Mohite, Aditya D., Zhang, Hua

    Published 2019
    “…More importantly, the chemical and structural diversity of 2D HOIPs offers greater opportunities to fine-tune and engineer properties and functionalities compared with their 3D counterparts.…”
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    Journal Article
  4. 2344

    RanDumb: random representations outperform online continually learned representations by Prabhu, A, Sinha, S, Kumaraguru, P, Torr, PHS, Sener, O, Dokania, PK

    Published 2025
    “…Extending our investigation to popular exemplar-free scenarios with pretrained models, we find that training only a linear classifier on top of pretrained representations surpasses most continual fine-tuning and prompt-tuning strategies. Overall, our investigation challenges the prevailing assumptions about effective representation learning in the online continual learning.…”
    Conference item
  5. 2345

    Harnessing 3D microarchitecture of pterosaur bone using multi-scale X-ray CT for aerospace material design by Pili, N, Lowe, TJ, Margetts, L, Pickup, K, Sellers, WI, Nicholls, EL, Withers, PJ, Manning, PL

    Published 2025
    “…Historically, two-dimensional histological analysis has resolved fine-scale structures in fossilised bone, which damages the sample. …”
    Journal article
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    Turning trash into treasure: exploring the potential of AI in municipal waste management - an in-depth review and future prospects by El Jaouhari, Asmae, Samadhiya, Ashutosh, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil, Kumar, Rajesh

    Published 2024
    “…To close this gap, this study conducts a thorough review of the relevant literature with an application of preferred reporting items for systematic reviews and meta-analyses-based methods, examining 229 peer-reviewed publications to explore the role of AI in different MWM areas, such as waste characteristics forecasting, waste bin level monitoring, process parameter prediction, vehicle routing, and MWM planning. …”
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    Article
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