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Concurrency and Computation: Practice and Experience (CCPE)

Publisher :

John Wiley & Sons Ltd

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Peer reviewed only
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Open Access
  • Computer Science
  • Theory & Methods
  • Software Engineering
e-ISSN :

1532-0634

Issue Frequency :

Semi-monthly

p-ISSN :

1532-0626

Est. Year :

2001

Mobile :

4402920874205

Country :

United Kingdom

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

ccpe@wiley.com

Journal Descriptions

Concurrency and Computation: Practice and Experience is a computer science journal publishing original research and review papers on parallel and distributed computing systems. With a broad scope, the journal covers high-performance computing, data science, artificial intelligence and machine learning, big data, security, quantum and cloud computing, and more. Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing. Emphasis on novel research related to practice and experience in these areas should be an essential aspect of contributions, rather than addressing theoretical aspects. Submissions should involve or imply significant concurrency and/or computational issues. Within these broad areas, the scope of CCPE includes the design, implementation, and optimization of compute and data-intensive applications for parallel and distributed systems. This includes the development of novel concurrent algorithms and applications, their parallel performance analysis and modelling, and new programming or modelling languages and relevant methodologies for composing them. Areas relevant to compute and data-intensive applications include, but are not limited to, large-scale computational science, artificial intelligence, and the processing of voluminous datasets from satellites, scientific experiments, sensor networks, medical instruments, and other sources. Techniques for resource management in the context of parallel and distributed systems, and energy-aware computing are also topics of interest.


Concurrency and Computation: Practice and Experience (CCPE) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Theory & Methods, Software Engineering , Online or Print, Semi-monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1532-0626, E-ISSN - 1532-0634, Established in - 2001, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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Google Scholar
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WoS

+9 More

Publications of CCPE

Research Article
  • dott image October, 2022

Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with pa...

In recent years, a number of learning methods have been adopted for classifying the mammogram images, which helps the early detection and diagnosis of breast cancer. The breast lesion identi...

Research Article
  • dott image August, 2022

A Wrapper based feature extraction framework based on AlexNet deep convolutional neural network parameters optimized using gradient-based optimizer fo...

In this manuscript, a Wrapper based feature extraction framework based on AlexNet deep convolutional neural network (ADCNN) with gradient-based optimizer (GBO) is proposed for early detectio...

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