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Computer is a peer-reviewed journal published by IEEE, covering Diverse Scientific and Economic Studies, Human auditory perception and evaluation, Educational Robotics and Engineering. Over its lifetime it has published 18,108 papers, which have received 447,542 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," Computer, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in Computer style. No sign-up. |
| Publishes research in | Diverse Scientific and Economic Studies Human auditory perception and evaluation Educational Robotics and Engineering Parallel Computing and Optimization Techniques Distributed and Parallel Computing Systems |
| ISSN | 0018-9162 |
| Citation impact (2-yr) | 1.12 |
| h-index | 281 |
| i10-index | 4,178 |
| Top institutions publishing here | California State University System |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels.
A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into…
Security administration of large systems is complex, but it can be simplified by a role-based access control approach. This article explains why RBAC is receiving renewed attention as a method of security administration and review, describes a framework of four reference models developed to better understand RBAC and categorizes different implementations, and discusses the use…
Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the artificial computational model. It outlines network architectures and learning processes, and presents some of the most commonly used ANN models. It concludes…
On-chip micronetworks, designed with a layered methodology, will meet the distinctive challenges of providing functionally correct, reliable operation of interacting system-on-chip components. A system on chip (SoC) can provide an integrated solution to challenging design problems in the telecommunications, multimedia, and consumer electronics domains. Much of the progress in these fields hinges on the designers'…
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