Write in a clean editor, then format for Frontiers of Information Technology & Electronic Engineering in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Frontiers of Information Technology & Electronic Engineering is a peer-reviewed journal published by Springer Nature, covering Distributed Control Multi-Agent Systems, Advanced MIMO Systems Optimization, Antenna Design and Analysis.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Frontiers of Information Technology & Electronic Engineering 12, 45–58 (2023).
Formats any DOI in Frontiers of Information Technology & Electronic Engineering style. No sign-up. |
| Publishes research in | Distributed Control Multi-Agent Systems Advanced MIMO Systems Optimization Antenna Design and Analysis Topic Modeling Advanced Wireless Communication Technologies |
| ISSN | 2095-9184 |
| Citation impact (2-yr) | 3.07 |
| h-index | 56 |
| i10-index | 516 |
| Total citations | 23,569 |
| Top institutions publishing here | Zhejiang University |
| Journal website | www.zju.edu.cn |
| 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.
Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results. This paper discusses how such human-machine collaboration can be approached through the statistical concepts of population, question of interest, representativeness of training data, and…
This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer representations. Although deep neural networks have exhibited superior performance in various tasks, interpretability is always Achilles’ heel of deep neural networks. At present, deep neural networks obtain high discrimination power at the cost of a low interpretability of their…
Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of ‘Internet plus AI’, which is triggering a great change in the models, means, and ecosystems of the manufacturing industry, as well as in the…
Conversational systems have come a long way since their inception in the 1960s. After decades of research and development, we have seen progress from Eliza and Parry in the 1960s and 1970s, to task-completion systems as in the Defense Advanced Research Projects Agency (DARPA) communicator program in the 2000s, to intelligent personal assistants such as…
The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is…
