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IEEE Transactions on Automation Science and Engineering (IEEE TAS&E)

Publisher :

IEEE

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Components
  • Circuits
  • Devices

    • +7

e-ISSN :

1545-5955

Issue Frequency :

Quarterly

Impact Factor :

5.6

Est. Year :

2004

Mobile :

8006784333

DOI :

YES

Country :

United States

Language:

English

APC :

YES

Email :

a.carl@ieee.org

Journal Descriptions

The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice. The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). Each published article was reviewed by a minimum of two independent reviewers using a single-anonymous peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance. Corresponding authors from low-income countries are eligible for waived or reduced open access APCs.


IEEE Transactions on Automation Science and Engineering (IEEE TAS&E) is :

International, Peer-Reviewed, Open Access, Refereed, Components, Circuits, Devices, Systems, Power, Energy, Industry Applications, Robotics, Control Systems, Engineering , Online Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 1545-5955, Established in - 2004, Impact Factor - 5.6

Provide Crossref DOI

Indexed in Scopus, WoS, PubMed

Not indexed in DOAJ, UGC CARE

Indexing

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Publications of IEEE TAS&E

Research Article
  • dott image Chen Fu
  • dott image January, 2020

Dynamic Support Vector Regression Control System for Overlay Error Compensation With Stochastic Metrology Delay

This study aims to develop a robust monitoring system for advanced control and compensation of the overlay errors based on E-insensitive support vector regression (SVR), considering metrolog...

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