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Applied Intelligence
基本信息
期刊名称 Applied Intelligence
APPL INTELL
期刊ISSN 0924-669X
期刊官方网站 https://www.springer.com/10489
是否OA No
出版商 Springer Netherlands
出版周期 Bimonthly
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始发年份 1991
年文章数 820
影响因子 3.4(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术3区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能3区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 6.6 1.193 1.528
Computer Science
Artificial Intelligence
117/350 66%
补充信息
自引率 11.8%
H-index 52
SCI收录状况 Science Citation Index Expanded
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0924-669X%5BISSN%5D
投稿指南
期刊投稿网址 https://www.editorialmanager.com/apin
收稿范围
The international journal of Applied Intelligence provides a medium for publishing scientific research and technological achievements accomplished by the international community. The focus of the journal is towards research advances on new and innovative intelligent systems’ methodologies and their applications in solving real life complex problems.  The areas of research include natural language and speech interfaces, intelligent robotics, learning methodologies, intelligent decision support systems, evolutionary computing, genetic programming, heuristic methods, intelligent searching, agents, optimization, neural networks, mining data and patterns, cognitive interaction, knowledge-based reasoning, modeling, planning and scheduling, classification and clustering, computer vision, fuzzy logic and control, games, smart graphics, fault diagnosis, pattern recognition, bio-informatics, uncertain information processes, big data & streaming data, feature selection, advances in social network systems, recommender systems, use of distributed and parallel processing and E-service personalization, as well as other hot topics.

The journal addresses issues involving research on intelligent manufacturing, privacy preserving systems, risk analysis, knowledge based management, modern techniques to improve health-care systems, methods to assist government, and solving industrial problems which are too complex to be solved through conventional approaches. The integration of multiple intelligent approaches in solving complex real life problems is of particular importance.
 
The emphasis of the reported research work is on new, original, and innovative research and technological developments rather than reports on the application of existing technologies to different sets of data. Researchers have started addressing multidisciplinary real and complex research solutions to complex problems, like on-line health care prediction systems, communication through speech, automatic programming, and dynamic change prediction systems in stock markets, privacy, and risk analysis. The journal welcomes such developments and functions as a catalyst in disseminating the original and innovative research and technological achievements of the international community in these challenging research areas.
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投稿指南 https://link.springer.com/journal/10489/submission-guidelines
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