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Applied Sciences (ASC)

Publisher :

Multidisciplinary Digital Publishing Institute (MDPI)

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Engineering
  • Physics
  • Astronomy

    • +5

e-ISSN :

2076-3417

Issue Frequency :

Quarterly

Est. Year :

2011

Mobile :

41616837734

Country :

Switzerland

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

applsci@mdpi.com

Journal Descriptions

Applied Sciences is an international, peer-reviewed, open access journal on all aspects of applied natural sciences published semimonthly online by MDPI. Applied Sciences (ISSN 2076-3417) provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the maximum length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.


Applied Sciences (ASC) is :

International, Peer-Reviewed, Open Access, Refereed, Engineering, Physics, Astronomy, Computer Science, Biology & Life Sciences, Chemistry & Materials Science, Environmental & Earth Sciences, Physical Sciences , Online Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2076-3417, Established in - 2011, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ, PubMed

Not indexed in UGC CARE

Indexing

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Google Scholar
Scopus Profile
Scopus
Scopus Profile
WoS

+11 More

Publications of ASC

  • dott image December, 2020

Why Farmers Get Involved in Participatory Research Projects? The Case of Arable Crops Farmers in Greece

This paper seeks to underline the driving factors of farmers’ engagement in Participatory Research Projects (PRPs). This is a critical issue for formulating efficient and effective technol...

  • dott image November, 2022

Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map

Almost all recent deep reinforcement learning algorithms use four consecutive frames as the state space to retain the dynamic information. If the training state data constitute an image, the...

  • dott image September, 2022

NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerp...

Biological aging can be affected by several factors such as drug treatments and pathological conditions. Metabolomics can help in the estimation of biological age by analyzing the difference...

  • dott image December, 2021

A Universal Malicious Documents Static Detection Framework Based on Feature Generalization

In this study, Portable Document Format (PDF), Word, Excel, Rich Test format (RTF) and image documents are taken as the research objects to study a static and fast method by which to detect ...

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