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Applied System Innovation (ASI)

Publisher :

Multidisciplinary Digital Publishing Institute (MDPI)

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Peer reviewed only
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Open Access
  • Computer Science
  • Human-Computer Interaction
  • Artificial Intelligence

    • +3

e-ISSN :

2571-5577

Issue Frequency :

Bi-Monthly

Impact Factor :

3.8

Est. Year :

2018

Mobile :

41616837734

Country :

Switzerland

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

asi@mdpi.com

Journal Descriptions

Applied System Innovation (ISSN 2571-5577) is a peer-reviewed, open access journal devoted to publishing research papers in the fields of integrated engineering and technology. In a modern technological society, engineers and designers must work together with a variety of other professionals in their quest to find systems solutions to complex problems. Fast advances in science and technology have broadened the horizons of engineering while simultaneously creating a multitude of challenging problems in every aspect of modern life. Current research is interdisciplinary in nature, reflecting a combination of concepts and methods that often span several areas of mechanics, mathematics, electrical engineering, control engineering, biomedical engineering, and other scientific disciplines. This research often combines theoretical models with numerical simulations to solve problems or make predictions that may be used to design innovative solutions, not only to be used by industry but also to affect the lives of ordinary people.


Applied System Innovation (ASI) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Human-Computer Interaction, Artificial Intelligence, Control and Systems Engineering, Industrial and Manufacturing Engineering, Applied Mathematics , Online Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2571-5577, Established in - 2018, Impact Factor - 3.8

Not Provide Crossref DOI

Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

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ABCD
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SJR

+12 More

Publications of ASI

  • dott image January, 2021

Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One such area of ...

  • dott image October, 2018

Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized acce...

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