LEARNING EXPLAINABLE DISENTANGLED REPRESENTATIONS OF E-COMMERCE DATA BY ALIGNING THEIR VISUAL AND TEXTUAL ATTRIBUTES

Learning Explainable Disentangled Representations of E-Commerce Data by Aligning Their Visual and Textual Attributes

Understanding multimedia content remains a challenging problem in e-commerce search and recommendation applications.It Machine Accessories is difficult to obtain item representations that capture the relevant product attributes since these product attributes are fine-grained and scattered across product images with huge visual variations and produc

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Comparing the Proteomic Profiles of Extracellular Vesicles Isolated using Different Methods from Long-term Stored Plasma Samples

Abstract Background The lack of standardized protocols for isolating extracellular vesicles (EVs), especially from biobank-stored blood plasma, translates to limitations for the study of new biomarkers.This study examines Duvet Set whether a combination of current isolation methods could enhance the specificity and purity of isolated EVs for diagno

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Corrosion behavior of nanostructured ferritic stainless steel by the generation of LIPSS with ultrashort laser pulses

Femtosecond ultra-short laser pulses can induce various micro- and nanostructural changes in the surface of stainless steel, paving the way for new functionalities in the application of these materials.In this work, UV, visible, and IR femtosecond laser pulses have been utilized on ferritic stainless steel under differing conditions of fluence, pul

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Improved Performance of Mean Greedy Algorithm for Chunk Allocation in SC-FDMA Uplink Systems using Joint-User and Chunk-Based Allocation

KEY MODULE In this paper, the problem of subcarrier allocation on chunk-by-chunk basis in SC-FDMA uplink systems is investigated.Improved mean enhanced greedy algorithms are proposed for performing joint-user and chunk-based allocation at each transmission time interval.Selection criteria based on spectral efficiency and fairness are also proposed

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