Technical developments in computer hardware and software now make it possible to introduce automation into virtually all aspects of human-machine systems. Given these technical capabilities, which system functions should be automated and to what extent? We outline a model for types and levels of automation that provides a framework and an objective basis for making…
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans Template
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About the IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans format
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans is a peer-reviewed journal published by IEEE, covering Human-Automation Interaction and Safety, Fault Detection and Control Systems, Petri Nets in System Modeling.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans style. No sign-up. |
| Publishes research in | Human-Automation Interaction and Safety Fault Detection and Control Systems Petri Nets in System Modeling Cognitive Computing and Networks Multi-Criteria Decision Making |
| ISSN | 1083-4427 |
| h-index | 144 |
| i10-index | 1,306 |
| Total citations | 102,917 |
| Top institutions publishing here | New Jersey Institute of Technology |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
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Most-cited papers in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
Class imbalance is a problem that is common to many application domains. When examples of one class in a training data set vastly outnumber examples of the other class(es), traditional data mining algorithms tend to create suboptimal classification models. Several techniques have been used to alleviate the problem of class imbalance, including data sampling and…
In optimization, multiple objectives and constraints cannot be handled independently of the underlying optimizer. Requirements such as continuity and differentiability of the cost surface add yet another conflicting element to the decision process. While "better" solutions should be rated higher than "worse" ones, the resulting cost landscape must also comply with such requirements. Evolutionary algorithms…
In this paper, we describe the acquisition and contents of a large-scale Chinese face database: the CAS-PEAL face database. The goals of creating the CAS-PEAL face database include the following: 1) providing the worldwide researchers of face recognition with different sources of variations, particularly pose, expression, accessories, and lighting (PEAL), and exhaustive ground-truth information in…
In multiple attribute decision analysis (MADA), one often needs to deal with both numerical data and qualitative information with uncertainty. It is essential to properly represent and use uncertain information to conduct rational decision analysis. Based on a multilevel evaluation framework, an evidential reasoning (ER) approach has been developed for supporting such decision analysis, the…