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Technologies (Technologies)

Publisher :

Multidisciplinary Digital Publishing Institute (MDPI)

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

2227-7080

Issue Frequency :

Monthly

Impact Factor :

4.2

Est. Year :

2013

Mobile :

41616837734

Country :

Switzerland

Language :

English, Computer Science (miscellaneous)

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

technologies@mdpi.com

Journal Descriptions

Technologies (ISSN 2227-7080) is an open access, peer-reviewed journal that provides an advanced forum for latest in technological studies to both researchers and professionals in an array of related disciplines. It publishes research papers, reviews, and communications as well as Special Issues on targeted subjects of current and future relevance. The aim of Technologies is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, the journal has no restriction on the maximum length of the papers. Full experimental details should be provided so that the results can be reproduced. Electronic files and software regarding the full details of calculations or experimental procedures, if unable to be published in a normal way, can be deposited as supplementary electronic material. Scope: • Internet of things • Neural networks • Machine learning • Advances in Materials science • Assistive Technologies (Adaptive device, healthcare; robotics, wearable, etc.) • Advances in electronics • Environmental technologies (environmental monitoring, model and conserve, etc.) • Medical technologies (diagnosing, monitoring and treating, etc.)


Technologies (Technologies) is :

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

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2227-7080, Established in - 2013, Impact Factor - 4.2

Not Provide Crossref DOI

Indexed in Scopus, DOAJ

Not indexed in WoS, PubMed, UGC CARE

Indexing

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Publications of Technologies

  • dott image January, 2022

IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms

IoT architectures facilitate us to generate data for large and remote agriculture areas and the same can be utilized for Crop predictions using this machine learning algorithm. Recommendatio...

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