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PeerJ - Computer Science (PCS)

Publisher :

PeerJ Inc

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Computer Science
  • Computer Science (miscellaneous)
e-ISSN :

2376-5992

Issue Frequency :

Monthly

Impact Factor :

3.8

Est. Year :

2025

Mobile :

8997634795

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

editorial.support@peerj.com

Journal Descriptions

PeerJ Computer Science is an Open Access, peer-reviewed multidisciplinary journal for the computer sciences. PeerJ Computer Science considers Research Articles, Literature Reviews and Application Notes in over 42 subjects in Computer Science. PeerJ Computer Science evaluates articles on an objective determination of scientific and methodological soundness, not on subjective determinations of 'impact,' 'novelty' or 'interest'. PeerJ Computer Science applies the highest standards to everything it does - specifically, the publication places an emphasis on research integrity; high ethical standards; constructive and developmental peer-review; exemplary production quality; and leading edge online functionality.


PeerJ - Computer Science (PCS) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Computer Science (miscellaneous) , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2376-5992, Established in - 2025, Impact Factor - 3.8

Not Provide Crossref DOI

Indexed in Scopus, DOAJ

Not indexed in WoS, PubMed, UGC CARE

Publications of PCS

Research Article
  • dott image Pooja Mehta
  • dott image April, 2021

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

Information gathering has become an integral part of assessing people’s behaviors and actions. The Internet is used as an online learning site for sharing and exchanging ideas. People can ...

Research Article
  • dott image Sharnil Pandya
  • dott image February, 2021

Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease

In recent times, technologies such as machine learning and deep learning have played a vital role in providing assistive solutions to a medical domain’s challenges. They also improve predi...

Research Article
  • dott image Anant R. Bhatt
  • dott image February, 2021

Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing

Cervical intraepithelial neoplasia (CIN) and cervical cancer are major health problems faced by women worldwide. The conventional Papanicolaou (Pap) smear analysis is an effective method to ...

Research Article
  • dott image Shilpa Gite
  • dott image January, 2021

Explainable stock prices prediction from financial news articles using sentiment analysis

The stock market is very complex and volatile. It is impacted by positive and negative sentiments which are based on media releases. The scope of the stock price analysis relies upon ability...

Research Article
  • dott image Rahee Walambe
  • dott image April, 2021

Stance detection with BERT embeddings for credibility analysis of information on social media

The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and faster reach of the information, people search out and devour news from online social networks. I...

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-based, sig...

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