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Journal Photo for Big Data and Cognitive Computing
Peer reviewed only Open Access

Big Data and Cognitive Computing (BDCC)

Publisher : MDPI
Big Data Processing Cloud Services Data Storage
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e-ISSN 2504-2289
Issue Frequency Monthly
Impact Factor 3.7
Est. Year 2017
Mobile 13349999659
Country Switzerland
Language English
APC YES
Impact Factor Assignee Google Scholar
Email minchen@ieee.org

Journal Descriptions

Big Data and Cognitive Computing is an international, peer-reviewed, open access journal on big data and cognitive computing published monthly online by MDPI. Big Data and Cognitive Computing (ISSN 2504-2289) is an international, interdisciplinary scholarly scientific, and open access journal on big data and cognitive computing for computer science. In the past decade, the computer and information industry has experienced rapid changes in both platform scale and scope of applications. Computers, smart phones, clouds, social networks, and supercomputers demand not only high performance but also a high degree of machine intelligence. As a matter of fact, we are entering an era of big data and cognitive computing. In the big data era, successful cloud systems, web services and supercomputer centers must be designed to discover, store, process, learn, analyze, and predict from a massive amount of data. To face these new computing and communication changes, we must upgrade the clouds and the computing ecosystem with new capabilities, such as machine learning, IoT sensing, data analytics, and cognitive machines mimicking human intelligence. This journal blends together big-data theories with emerging technologies on smart clouds and exploring supercomputers with new applications.

Big Data and Cognitive Computing (BDCC) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Big Data Processing, Cloud Services, Data Storage, Cognitive Informatics , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2504-2289, Established: 2017, Impact Factor: 3.7
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS, DOAJ

  • Not indexed in PubMed, UGC CARE

Indexing

Publications of BDCC

A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features
Manjushree Nayak January, 2023
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the domain of computer vision. It is challenging due to structural complexity and a marginal contras...
AI Based Emotion Detection for Textual Big Data: Techniques and Contribution
Ketan Kotecha September, 2021
Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to express via text people’s opinions and feelings about the current surrounding events. Understanding th...
Deep Learning Approaches for Video Compression: A Bibliometric Analysis
Ketan Kotecha April, 2022
Every data and kind of data need a physical drive to store it. There has been an explosion in the volume of images, video, and other similar data types circulated over the internet. Users us...
Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions
Ketan Kotecha February, 2023
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing ...