In the last ten years, the use of data analytics in health informatics has significantly increased due to the abundance of different types of data. Presently, big data is regarded as an indispensable and auspicious se...
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In 2023, Fan et al. proposed an article "Weakness of Enhanced DNA and ElGamal cryptosystem for secure data storage and retrieval in cloud"which it found a leakage by Thangavel and Varlakshmi's scheme. In...
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To enhance the convenience and efficiency of automotive software upgrades, a method utilizing Over-the-Air (OTA) technology is proposed. In this approach, the Bootloader system establishes a wireless connection to Ali...
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Analyzing developers' activity is an essential step in understanding a software project. When assessing the status of a project and studying its history and development, it is vital to assess the performance of ea...
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ISBN:
(纸本)9798331528492;9798331528485
Analyzing developers' activity is an essential step in understanding a software project. When assessing the status of a project and studying its history and development, it is vital to assess the performance of each contributor with high precision. Unfortunately, as Version Control Systems (VCS) do not manage the concept of developer identity in a precise fashion, it is often hard to connect a single identity with all the contributions a user has made to the project, by taking into account potential aliases of the same person. Our work aims to bridge this gap by processing the information related to the identities of contributors in the most popular projects available on GitHub, and to visualize their activity over time. The visualized identities are built on top of a disambiguation algorithm that aims to merge aliases of the same person into a single entity. Moreover, we perform bot detection to differentiate the activity made by bots from the one of humans. At last, we cluster the resulting identities to find users with the same activity patterns. By interacting with the proposed visualizations, one can precisely analyze the contributions of the people working on a project. Video URL: https://***/O98IsBDBXKY
The software is a collection of single files or many files which contain source code. The advances in Machine Learning algorithms and methods have inspired investigators to use these technical advancements for softwar...
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Deep neural networks are typically computationally expensive, thus, there is a strong motivation to develop less intensive models while maintaining performance. Distilling knowledge from a teacher network to a lightwe...
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To ensure the stability of power grids, numerous load forecasting methods have continuously evolved. However, due to variations in factors like algorithm generalization capabilities and model complexity, their effecti...
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With the freeze of 3GPP Release 15 protocols, the world has entered the 5G commercial era. In recent years, major communication companies and organizations have set up project groups for IMT-2030 to put forward propos...
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Nowadays, the vast majority of university careers declare a competency-based curriculum. However, having concrete evidence to measure learning outcomes can be a complex problem in engineering. Academics make great eff...
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This research project aims to explore how different combinations of heterostructure materials impact the drain current of Vertical HEMTs through simulation software. Improving the performance of electronic devices req...
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