International Journal of Artificial Intelligence Tools
译名:国际人工智能工具杂志
International Journal on Artificial Intelligence Tools
1-3
2026
影响因子区间
321天
平台估算
26%
2025
中国作者发文占比
—
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期刊简介:The International Journal on Artificial Intelligence Tools (IJAIT) provides an interdisciplinary forum in which AI scientists and professionals can share their research results and report new advances on AI tools or tools that use AI. Tools refer to architectures, languages or algorithms, which constitute the means connecting theory with applications. So, IJAIT is a medium for promoting general and/or special purpose tools, which are very important for the evolution of science and manipulation of knowledge. IJAIT can also be used as a test ground for new AI tools.Topics covered by IJAIT include but are not limited to: AI in Bioinformatics, AI for Service Engineering, AI for Software Engineering, AI for Ubiquitous Computing, AI for Web Intelligence Applications, AI Parallel Processing Tools (hardware/software), AI Programming Languages, AI Tools for CAD and VLSI Analysis/Design/Testing, AI Tools for Computer Vision and Speech Understanding, AI Tools for Multimedia, Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Image Understanding, Integrated/Hybrid AI Approaches, Intelligent System Architectures, Knowledge-Based/Expert Systems, Knowledge Management and Processing Tools, Knowledge Representation Languages, Natural Language Understanding, Neural Networks for AI, Object-Oriented Programming for AI, Reasoning and Evolution of Knowledge Bases, Self-Healing and Autonomous Systems, and Software Engineering for AI.
【译文】《人工智能工具国际期刊》(IJAIT)提供了一个跨学科的论坛,供人工智能科学家和专业人士分享他们的研究成果,并报告在人工智能工具或使用人工智能的工具方面的最新进展。工具指的是架构、语言或算法,它们构成了将理论与应用联系起来的手段。因此,IJAIT是推广通用和/或专用工具的平台,这些工具对科学发展和知识操作非常重要。IJAIT还可以用作测试新人工智能工具的试验场。IJAIT涵盖的主题包括但不限于:生物信息学中的AI、服务工程中的AI、软件工程中的AI、普适计算中的AI、网络智能应用中的AI、AI并行处理工具(硬件/软件)、AI编程语言、用于CAD和VLSI分析/设计/测试的AI工具、用于计算机视觉和语音理解的AI工具、用于多媒体的AI工具、认知信息学、数据挖掘和机器学习工具、启发式和AI规划策略和工具、图像理解、集成/混合AI方法、智能系统架构、基于知识的/专家系统、知识管理和处理工具、知识表示语言、自然语言理解、用于AI的神经网络、面向对象的AI编程、知识库的推理和演化、自愈和自主系统,以及AI的软件工程。

| 指标 | 当前值 | 近三年趋势 |
|---|---|---|
| JCR分区 | Q4 | 暂无 |
| 中科院分区 | 4区 | 暂无 |
| 影响因子区间 | 1-3 | 暂无 |