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Titlebook: MultiMedia Modeling; 26th International C Yong Man Ro,Wen-Huang Cheng,Wesley De Neve Conference proceedings 2020 Springer Nature Switzerlan

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楼主: Menthol
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Valeria Quagliace relegated to nonrealist forms of representation—sentimental metaphors, sensational embraces, and gothic encounters—it now seemed to merge with a modernist esthetic as a sign of the real and a signifier of modernity: the representation of lesbian desire, in other words, continued to bypass realist
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Using Treated Wastewater in Groundwater Recharge at Wadi El Farigh Area, Egypt: GIS and Remote Sensin. Due to over-pumping, groundwater levels have declined, leading to an increase in the cost of pumping water and deteriorating its quality. The study aims to use treated wastewater in artificial recharge of the groundwater aquifers to improve the efficiency of groundwater use and ensure its sustain
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PLM Case Studies in Japan,e manufacturing firms. They come from three different kinds of business situations. In particular, they describe the mindset of several senior operating officers in terms of business strategies and PLM positioning. For example, a factory head decided to address PLM ahead of ERP; a head of R&D group
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https://doi.org/10.1007/978-3-658-42470-1ìng between 200 to 300 S. The enzyme is associated with a double-stranded RNA template — a duplex made of a parental viral RNA strand and its complementary strand. It is the complementary (-) strand of the duplex which serves as template for the transcription of molecules of progeny viral RNA which are then incorporated into virions.
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Fuzzy Logic and the Internet: Web Intelligence,n known as a fuzzyquerying. It is usually not a problem for small domains, but for large repositories such as World Wide Web, a request specification becomes a bottleneck. Thus, a flexible retrieval algorithm is required, allowing for imprecise or fuzzy query specification or search.
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An Entropy-Based Pseudo-Label Mixup Method for Source-Free Domain Adaptationerate high-quality pseudo labels. Furthermore, a pseudo-label mixup technique is designed to reduce the gap among similar data while increasing the distances among dissimilar data. We have shown through extensive experiments that our approach can achieve better results than state-of-the-art methods.
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