Back to Top
Go Back
Journal Photo for Applied System Innovation
Peer reviewed only Open Access

Applied System Innovation (ASI)

Publisher : Multidisciplinary Digital Publishing Institute (MDPI)
Computer Science Human-Computer Interaction Artificial Intelligence
Claim Your Journal Get PRC Visit Website
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: 2018, Impact Factor: 3.8
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus

  • Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of ASI

Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion
Ketan Kotecha January, 2021
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 ...
Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol
Ketan Kotecha October, 2018
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...