JOURNAL METRICS

CiteScore 2019: N/A ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2019: N/A ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2019: N/A ℹSource Normalized Impact per Paper(SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

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Archive

Detection of COVID-19 Fake News in Online Social Networks with the Developed CNN-LSTM Based Hybrid Model

Muhammed Yildirim

https://doi.org/10.18280/rces.090201

Page 41-48

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Research on Talent Evaluation Technology Based on Systematic Co-Reaction Force Method

Sumian Peng

https://doi.org/10.18280/rces.090202

Page 49-52

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IoT Based Indoor and Outdoor Localization Framework with WI-FI Fingerprinting Based on Scalable Resnet Models

Muhammad Shoaib Akhtar, Tao Feng

https://doi.org/10.18280/rces.090203

Page 53-66

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Practical Research of Online Teaching Platform on Reform of Computer Network with Flipped Classroom

Fengyun Cao, Yuting Feng, Bin Wei

https://doi.org/10.18280/rces.090204

Page 67-70

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Low Power Wide Area Network Technologies: Open Problems, Challenges, and Potential Applications

Muhammad Sani Danladi, Muhammet Baykara

https://doi.org/10.18280/rces.090205

Page 71-78

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Research on Visualization Management of Human Resources Based on Big Data Neural Network Technology

Jing Zhang

https://doi.org/10.18280/rces.090206

Page 79-81

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Biometrics Face Recognition Using Method of Wavelet and Curvelet Transforms with COVID-19

Wasan Maddah Alaluosi, Ahmed Saud Mohammed

https://doi.org/10.18280/rces.090207

Page 82-86

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