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Big Data and Cognitive Computing (BDCC)

Publisher :

MDPI

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Big Data Processing
  • Cloud Services
  • Data Storage
  • +1

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 in - 2017, Impact Factor - 3.7

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ

Not indexed in PubMed, UGC CARE

Publications of BDCC

  • dott image January, 2023

A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features

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...

  • dott image September, 2021

AI Based Emotion Detection for Textual Big Data: Techniques and Contribution

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...

  • dott image April, 2022

Deep Learning Approaches for Video Compression: A Bibliometric Analysis

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...

  • dott image February, 2023

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions

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 ...

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