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    Human-interpretable clustering of short text using large language models by Justin K. Miller, Tristram J. Alexander

    Published 2025-01-01
    “…Clustering short text is a difficult problem, owing to the low word co-occurrence between short text documents. …”
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  3. 223
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    Long short-term memory autoencoder based network of financial indices by Kamrul Hasan Tuhin, Ashadun Nobi, Mahmudul Hasan Rakib, Jae Woo Lee

    Published 2025-01-01
    “…Abstract We present a novel approach for analyzing financial time series data using a Long Short-Term Memory Autoencoder (LSTMAE), a deep learning method. …”
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    Probabilistic Short‐Term Solar Driver Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

    Published 2024-03-01
    “…We introduce methods using long short‐term memory (LSTM) model ensembles to improve over the current prediction method as well as a previous univariate approach. …”
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  7. 227

    Nail-Patella Syndrome Associated with Short Stature: A Case Series by Samir Haddad, Leila Ghedira-Besbes, Chahra Bouafsoun, Sabeur Hammami, Slaheddine Chouchene, Chebil Ben Meriem, Mohamed-néji Guediche

    Published 2010-01-01
    “…Skeletal, ophthalmologic, and renal involvements were mostly associated with NPS. The association with short stature was exceptional.…”
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    Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation by Nicholas LaRacuente, Kaitlin N. Smith, Poolad Imany, Kevin L. Silverman, Frederic T. Chong

    Published 2025-01-01
    “…Preliminary analyses suggest that latency is not substantially impacted, and that at least some applications and architectures may avoid bottlenecks around chiplet boundaries. In the long-term, short-range networks may underlie quantum computers just as local area networks underlie classical datacenters and supercomputers today.…”
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  10. 230

    Experimental evidences of radicals production by hydrodynamic cavitation: a short review by Nöpel, Julius-Alexander, Ayela, Frédéric

    Published 2023-09-01
    “…As the physics of collapsing bubbles in a flow is more complex than the monitoring of acoustic bubbles at a fixed frequency, it was largely assumed, until shortly, that hydrodynamic cavitation has inherent limitations preventing from getting relevant radical yields. …”
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    Synthesis and Characterization of Short Saccaharum Cilliare Fibre Reinforced Polymer Composites by A. S. Singha, Vijay Kumar Thakur

    Published 2009-01-01
    “…This paper deals with the synthesis of short Saccaharum Cilliare fibre (SC) reinforced Urea-Formaldehyde (UF) matrix based polymer composites. …”
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  12. 232

    Indonesian Government Revenue Prediction Using Long Short-Term Memory by Mahmud, Windu Gata, Hafifah Bella Novitasari, Sigit Kurniawan, Dedi Dwi Saputra

    Published 2024-06-01
    “…It proposes applying the Long Short-Term Memory (LSTM) model for this purpose. …”
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    Miss-Taken Identities: The Comedy of Misrecognition in New Woman Short Stories by Margaret D. Stetz

    Published 2022-10-01
    “…This essay will illuminate a surprisingly common trope in British New Woman comic short stories from the late-1880s through the end of the nineteenth century—that is, the social misrecognition of women (almost always young women) by men. …”
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    Localization Operators and an Uncertainty Principle for the Discrete Short Time Fourier Transform by Carmen Fernández, Antonio Galbis, Josep Martínez

    Published 2014-01-01
    “…Localization operators in the discrete setting are used to obtain information on a signal f from the knowledge on the support of its short time Fourier transform. In particular, the extremal functions of the uncertainty principle for the discrete short time Fourier transform are characterized and their connection with functions that generate a time-frequency basis is studied.…”
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  19. 239

    Short‐term load forecasting at electric vehicle charging sites using a multivariate multi‐step long short‐term memory: A case study from Finland by Tim Unterluggauer, Kalle Rauma, Pertti Järventausta, Christian Rehtanz

    Published 2021-12-01
    “…Abstract This study assesses the performance of a multivariate multi‐step charging load prediction approach based on the long short‐term memory (LSTM) and commercial charging data. …”
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