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Journal Photo for Concurrency and Computation: Practice and Experience
Peer reviewed only Open Access

Concurrency and Computation: Practice and Experience (CCPE)

Publisher : John Wiley & Sons Ltd
Computer Science Theory & Methods Software Engineering
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e-ISSN 1532-0634
p-ISSN 1532-0626
Issue Frequency Semi-monthly
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 P-ISSN: 1532-0626, E-ISSN: 1532-0634, Established: 2001,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of CCPE

Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with pa...
N. K. Sakthivel October, 2022
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...
A Wrapper based feature extraction framework based on AlexNet deep convolutional neural network parameters optimized using gradient-based optimizer fo...
N. K. Sakthivel August, 2022
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...