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Journal Photo for Applied Sciences
Peer reviewed only Open Access

Applied Sciences (ASC)

Publisher : Multidisciplinary Digital Publishing Institute (MDPI)
Engineering Physics Astronomy
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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: 2011,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS, DOAJ, PubMed

  • Not indexed in UGC CARE

Indexing

Publications of ASC

Why Farmers Get Involved in Participatory Research Projects? The Case of Arable Crops Farmers in Greece
Panos M. Pardalos December, 2020
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...
Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map
Pietro Liò November, 2022
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...
NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerp...
Pietro Liò September, 2022
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...
A Universal Malicious Documents Static Detection Framework Based on Feature Generalization
Pietro Liò December, 2021
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 ...