悬挂
发表于 2025-3-25 06:05:57
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漂白
发表于 2025-3-25 08:11:04
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说明
发表于 2025-3-25 12:27:14
Changing Pattern of Human Movements in Istanbul During Covid-19periphery, and center, outbound. The number of tweets and distinct accounts decreased by 90% and 84% from 2018 to 2021. The decrease in the number of single tweeting accounts is 84%, it is 60% in stationary accounts, and 94% in moving ac-counts. The size of the spatial clusters also decreased for al
纪念
发表于 2025-3-25 16:47:33
Towards an Extensible Architecture for an Empirical Software Engineering Computational Platforme . – an . . . . . . .. Our approach aims to address the aforementioned functionalities missing in available environments to conduct empirical SE studies. Preliminary results show its feasibility by applying an architecture-based tool to some of our previous software testing empirical studies.
Debark
发表于 2025-3-25 20:45:55
0302-9743 ational Workshop on Sustainability Performance Assessment: models, approaches and applications toward interdisciplinary and integrated solutions (SPA 2021)..978-3-030-87012-6978-3-030-87013-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
原告
发表于 2025-3-26 02:34:05
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阉割
发表于 2025-3-26 05:01:49
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走调
发表于 2025-3-26 12:06:31
Failures Forecast in Monitoring Datacenter Infrastructure Through Machine Learning Techniques: A Sysess success. Modern DC are complex systems. To maintain the operation with high efficiency and high availability, it is necessary to carry out detailed monitoring, which easily results in hundreds or thousands of items being monitored. Also, the large number of possible configurations is a challenge
相容
发表于 2025-3-26 14:29:00
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smells part during the development phase. Studies observe that code smells made the code more susceptible to call for modifications and corrections than code that did not contain code smells. Restructuring the code at the early stage of development saves the exponentially increasing amount of effort it w
Dislocation
发表于 2025-3-26 19:44:58
Machine Learning Applied for Spectra Classification Energy Density (HED) experiments with high-density materials, changes in pressure will cause changes in the spectral peak. Immediate feedback on the actual status (e.g. time-resolved status of the sample) would be essential to quickly judge how to proceed with the experiment. The two major spectral