Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene…
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) Template
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About the IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) format
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) is a peer-reviewed journal published by IEEE, covering Cognitive Computing and Networks, Ferroelectric and Negative Capacitance Devices, Neural Networks and Applications.
| 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 C (Applications and Reviews), vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) style. No sign-up. |
| Publishes research in | Cognitive Computing and Networks Ferroelectric and Negative Capacitance Devices Neural Networks and Applications Robotics and Automated Systems EEG and Brain-Computer Interfaces |
| ISSN | 1094-6977 |
| h-index | 145 |
| i10-index | 917 |
| Total citations | 100,144 |
| Top institutions publishing here | Hong Kong Polytechnic University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) per year
Citation impact of IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) by publication year
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Most-cited papers in IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
Classifier learning with data-sets that suffer from imbalanced class distributions is a challenging problem in data mining community. This issue occurs when the number of examples that represent one class is much lower than the ones of the other classes. Its presence in many real-world applications has brought along a growth of attention from researchers.…
The design and development of wearable biosensor systems for health monitoring has garnered lots of attention in the scientific community and the industry during the last years. Mainly motivated by increasing healthcare costs and propelled by recent technological advances in miniature biosensing devices, smart textiles, microelectronics, and wireless communications, the continuous advance of wearable sensor-based…
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many tasks arising in these domains makes them difficult to solve with preprogrammed agent behaviors. The agents must, instead, discover a solution on their own, using learning. A significant part of…
Educational data mining (EDM) is an emerging interdisciplinary research area that deals with the development of methods to explore data originating in an educational context. EDM uses computational approaches to analyze educational data in order to study educational questions. This paper surveys the most relevant studies carried out in this field to date. First, it…