Journal of Road Engineering, 2023 Microbial-induced calcium carbonate precipitation is a promising technology for self-healing concrete due to its capability to seal microcracks. The main goal of this study was to evaluate the effects of adding hydrogel-encapsulated bacteria on the ...
Ricardo Hungria +2 more
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Seasonal variation of aerosol water uptake and its impact on the direct radiative effect at Ny-Ålesund, Svalbard [PDF]
Atmospheric Chemistry and Physics, 2014 In this study we investigated the impact of water uptake by aerosol particles in ambient atmosphere on their optical properties and their direct radiative effect (ADRE, W m−2) in the Arctic at Ny-Ålesund, Svalbard, during 2008.
N. Rastak +10 more
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Transformer-based Generative AI for HVAC Control with Fragmented Data Center Histories of IT Workload and Cooling Infrastructure [PDF]
E3S Web of ConferencesData centers often face fragmented operational histories due to sensor upgrades or logging failures, hindering the training of robust HVAC control policies.
Bonyani Mahdi +2 more
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Importance of aerosol composition and mixing state for cloud droplet activation over the Arctic pack ice in summer [PDF]
Atmospheric Chemistry and Physics, 2015 Concentrations of cloud condensation nuclei (CCN) were measured throughout an expedition by icebreaker around the central Arctic Ocean, including a 3 week ice drift operation at 87° N, from 3 August to 9 September 2008.
C. Leck, E. Svensson
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Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
CoRR, 2020 There is an increasing amount of literature that claims the brittleness of deep neural networks in dealing with adversarial examples that are created maliciously. It is unclear, however, how the models will perform in realistic scenarios where \textit{natural rather than malicious} adversarial instances often exist.
Lichao Sun 0001 +6 more
openaire +2 more sources
Multi-mode deep auto-encoder recommendation model for fusion of text information
Xi'an Gongcheng Daxue xuebao, 2021 A new recommendation model is proposed to solve the problems of data sparsity and deep semantic information learning when using score information as auxiliary recommendation.
Jinguang CHEN, Xinyi XU, Ganglong FAN
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BERT-of-Theseus: Compressing BERT by Progressive Module Replacing [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 EMNLP ...
Canwen Xu +4 more
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A Physics-Informed Modeling of Data Center Cooling and Self-Supervised Learning-Based Autoencoder for Fault Detection and Diagnosis [PDF]
E3S Web of ConferencesEffective Fault Detection and Diagnosis (FDD) is crucial for data center energy efficiency but often struggles with labeled data scarcity. We propose the Physics-Informed Spatio-Temporal Graph (PI-STG) framework, a two-stage self-supervised approach ...
Bonyani Mahdi +2 more
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Catchment-scale dissolved carbon concentrations and export estimates across six subarctic streams in northern Sweden [PDF]
Biogeosciences, 2014 Climatic change is currently enhancing permafrost thawing and the flow of water through the landscape in subarctic and arctic catchments, with major consequences for the carbon export to aquatic ecosystems.
R. Giesler +7 more
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Iran und iranisch geprägte Kulturen : Studien zum 65. Geburtstag von Bert G. Fragner / hrsg. von Markus Ritter ... [PDF]
, 2008 Iranisch geprägte Kulturen und iranische Sprachen spielten seit alters her weit über Iran hinaus in Vorder- und Zentralasien bis Indien und China eine zentrale Rolle.
unknown
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