this study explains the two primary problems of fuel and pollution are addressed in this study by showing how to build an electric car charging station that runs on solar power. Now that they are widely used on roads,...
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this paper mainly studies the web log generated by the data center, with considering all data for both get and post requests, constructs the feature vector with word2vec, and builds the model with support vector machi...
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this study investigates Unsupervised Domain Adap-tation (UDA) for pre-trained language models (PrLMs) in downstream tasks. While PrLMs demonstrate impressive re-sults due to their generic knowledge from different doma...
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To study the impact of DFIG series compensation sub-synchronous oscillation(SSO) on the power grid, this paper establishes the DFIG with series compensation transmission line model based on real time digital simulatio...
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With an increase in the rise of divisive politics that are often contrarian to the core beliefs and manifesto of political parties, it is become imperative for political parties and candidates to find a solid middle g...
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Machine Learning (ML) algorithms become one of the most significant techniques for building intrusion detection systems (IDS)s. the most important part of the ML based IDS is training phase, which depends on the quali...
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Dissolved gas detection technology in transformer oil is one of the means to assess the operating condition of transformers and fault diagnosis, and the oil-gas separation technology is a key link in the detection sys...
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Stable output voltage is the basic requirement of DC converter to guarantee the performance of the converter under the condition of input voltage and load disturbance. For the problems of error and unreliable converge...
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Lightning discharge generates strong electromag-netic fields in its striking vicinity and these fields causes unde-sirable interactions and coupling effects inside the human body. Most of the existing studies address ...
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the proceedings contain 28 papers. the topics discussed include: a comparison of NLP tools for re to extract variation points;toward latent knowledge extraction based on the correlation of heterogeneous text data rela...
the proceedings contain 28 papers. the topics discussed include: a comparison of NLP tools for re to extract variation points;toward latent knowledge extraction based on the correlation of heterogeneous text data related to space system development;automating requirement quality standards with QVscribe;on system sequence descriptions;cross-domain ambiguity detection using linear transformation of word embedding spaces;conspiracy walls in requirements engineering - analyzing requirements like a detective;requirements for monitoring inattention of the responsible human in an autonomous vehicle: the recall and precision tradeoff;using a requirements modeling language to co-design intelligent support for people living with dementia;and on the interplay between requirements, engineering, and artificial intelligence.
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