智能科技信息

《智能科技信息》期刊中英文介绍及征稿启示

《智能科技信息》期刊中文介绍

《智能科技信息》是一本专注于智能科技领域前沿理论与实践的专业学术期刊,由中国人文出版社(香港)主办,并与中国人文出版社(CHINA HUMANITIES PUBLISHING HOUSE LTD)联合出版。本刊以其对智能科技的深度洞察和广泛覆盖,在学术界和产业界均受到广泛关注。其国际刊号为ISSN 3080-3217,每月5日和20日出版,发行周期为半月刊。

点此阅读全刊内容。

办刊宗旨与定位

《智能科技信息》致力于搭建一个智能科技领域的高水平学术交流平台,旨在促进人工智能、大数据、物联网、云计算等前沿技术的理论研究、技术创新与产业应用。本刊秉承“探索智能前沿,赋能科技创新”的宗旨,关注智能科技在各行各业的融合与发展,推动科技成果转化,为科研人员、工程师、政策制定者及相关产业从业者提供最新的研究成果和实践经验。通过汇聚全球智能科技领域的智慧,本刊力求成为引领行业发展、启发创新思维的重要阵地。

栏目及内容

《智能科技信息》的栏目设置紧密围绕智能科技的核心领域及其交叉应用,内容涵盖广泛而深入。主要栏目包括:

•人工智能: 涵盖机器学习、深度学习、自然语言处理、计算机视觉、智能机器人、专家系统等人工智能核心理论、算法及应用研究。

•科技应用: 探讨智能科技在工业、农业、医疗、教育、金融、交通等领域的具体应用案例、解决方案及效果评估。

•计算机网络信息: 关注网络安全、云计算、大数据存储与处理、物联网技术、区块链、通信技术等计算机网络与信息技术的前沿发展。

•现代经济管理: 探讨智能科技对经济发展模式、企业管理、商业创新、数字经济等方面的深远影响,以及智能决策、智慧城市等相关议题。

•新型科技与材料: 介绍智能材料、生物科技、新能源技术等新兴科技领域的最新突破,及其与智能科技的融合发展。

这些栏目内容丰富,既有对智能科技基础理论的探讨,也有对具体技术应用和产业发展趋势的分析,充分体现了期刊在智能科技研究领域的广度和深度。

出版方与刊号

《智能科技信息》由中国人文出版社(香港)主办,并由中国人文出版社(CHINA HUMANITIES PUBLISHING HOUSE LTD)联合出版。这两家出版机构为期刊的出版提供了国际化的平台和专业的支持,确保了期刊的出版质量和全球发行渠道。本刊的国际刊号为ISSN 3080-3217,这一国际标准识别码是期刊在全球范围内唯一性和可检索性的标志,确认了其作为正式学术出版物的身份。

学术价值

《智能科技信息》的学术价值主要体现在以下几个方面:

1.引领智能科技前沿: 期刊紧跟全球智能科技发展脉搏,发表前沿性、创新性的研究成果,为推动人工智能及相关领域的理论突破和技术进步贡献力量。

2.促进产学研深度融合: 本刊不仅关注基础理论研究,更重视科技成果的转化和实际应用,为学术界与产业界搭建桥梁,促进智能科技在各行业的落地生根,具有显著的应用价值。

3.拓展多学科交叉研究: 栏目设置涵盖人工智能、计算机网络、经济管理、新型材料等多个领域,鼓励跨学科研究,有助于打破学科壁垒,催生新的研究范式和创新点。

4.提供权威参考与决策支持: 对于科研人员、工程师而言,本刊是获取最新研究进展、解决技术难题的重要参考;对于政策制定者和企业管理者,本刊提供的深度分析和趋势洞察,为制定发展战略和决策提供了重要依据。

5.严格的学术标准与国际化视野: 期刊对稿件质量有严格要求,并具有国际化的出版背景,有助于吸引全球优秀稿件,提升期刊的国际学术影响力。

尽管作为一本相对较新的期刊,其在传统学术数据库中的收录情况和影响因子可能尚处于积累阶段,但其清晰的办刊方向、对智能科技前沿的关注以及对学术质量的追求,预示着其在智能科技研究领域具有巨大的发展潜力和学术价值。随着更多高质量研究成果的发表,相信《智能科技信息》将成为智能科技领域重要的学术交流平台之一。

Introduction to “Intelligent Technology Information” Journal (English)

“Intelligent Technology Information” is a professional academic journal dedicated to cutting-edge theories and practices in the field of intelligent technology. It is sponsored by China Humanities Publishing House (Hong Kong) and co-published by China Humanities Publishing House (CHINA HUMANITIES PUBLISHING HOUSE LTD). With its deep insights and broad coverage of intelligent technology, the journal has garnered widespread attention in both academic and industrial circles. Its International Standard Serial Number (ISSN) is 3080-3217, and it is published on the 5th and 20th of each month, with a bi-monthly publication cycle.

Click here to read the full issue

Aims and Positioning

“Intelligent Technology Information” aims to establish a high-level academic exchange platform in the field of intelligent technology. Its purpose is to promote theoretical research, technological innovation, and industrial application of cutting-edge technologies such as artificial intelligence, big data, the Internet of Things, and cloud computing. Adhering to the principle of “exploring intelligent frontiers and empowering technological innovation,” the journal focuses on the integration and development of intelligent technology across various industries. It facilitates the transformation of scientific and technological achievements, providing researchers, engineers, policymakers, and industry professionals with the latest research findings and practical experiences. By bringing together global wisdom in intelligent technology, the journal strives to become a crucial platform for leading industry development and inspiring innovative thinking.

Sections and Content

The sections of “Intelligent Technology Information” are closely aligned with the core areas of intelligent technology and its interdisciplinary applications, covering a wide range of in-depth content. The main sections include:

•Artificial Intelligence: Covers core theories, algorithms, and application research in artificial intelligence, including machine learning, deep learning, natural language processing, computer vision, intelligent robots, and expert systems.

•Technology Application: Explores specific application cases, solutions, and effectiveness evaluations of intelligent technology in various fields such as industry, agriculture, medicine, education, finance, and transportation.

•Computer Network Information: Focuses on the cutting-edge developments in computer networks and information technology, including network security, cloud computing, big data storage and processing, Internet of Things technology, blockchain, and communication technologies.

•Modern Economic Management: Discusses the profound impact of intelligent technology on economic development models, enterprise management, business innovation, and the digital economy, as well as related topics such as intelligent decision-making and smart cities.

•New Technologies and Materials: Introduces the latest breakthroughs in emerging technology fields such as intelligent materials, biotechnology, and new energy technologies, and their integrated development with intelligent technology.

These sections offer rich content, ranging from discussions on the fundamental theories of intelligent technology to analyses of specific technological applications and industrial development trends, fully demonstrating the journal’s breadth and depth in intelligent technology research.

Publisher and ISSN

“Intelligent Technology Information” is sponsored by China Humanities Publishing House (Hong Kong) and co-published by China Humanities Publishing House (CHINA HUMANITIES PUBLISHING HOUSE LTD). These two publishing institutions provide an international platform and professional support for the journal’s publication, ensuring its quality and global distribution channels. The journal’s International Standard Serial Number (ISSN) is 3080-3217. This international standard identifier serves as a mark of the journal’s uniqueness and retrievability worldwide, confirming its status as a formal academic publication.

Academic Value

The academic value of “Intelligent Technology Information” is primarily reflected in the following aspects:

1.Leading the Frontier of Intelligent Technology: The journal keeps pace with the global development of intelligent technology, publishing cutting-edge and innovative research findings, thereby contributing to theoretical breakthroughs and technological advancements in artificial intelligence and related fields.

2.Promoting Deep Integration of Industry, Academia, and Research: This journal not only focuses on basic theoretical research but also emphasizes the transformation of technological achievements and practical applications. It builds a bridge between academia and industry, promoting the implementation of intelligent technology in various sectors, thus possessing significant applied value.

3.Expanding Interdisciplinary Research: The diverse sections cover multiple fields such as artificial intelligence, computer networks, economic management, and new materials, encouraging interdisciplinary research. This helps break down disciplinary barriers and fosters new research paradigms and innovation points.

4.Providing Authoritative Reference and Decision Support: For researchers and engineers, this journal is an important reference for obtaining the latest research progress and solving technical problems. For policymakers and business managers, the in-depth analysis and trend insights provided by this journal offer crucial guidance for developing strategies and making decisions.

5.Strict Academic Standards and International Vision: The journal maintains strict requirements for manuscript quality and has an international publishing background, which helps attract excellent manuscripts globally and enhances the journal’s international academic influence.

Although it is a relatively new journal, and its inclusion in traditional academic databases and impact factor may still be in the accumulation phase, its clear publishing direction, focus on the intelligent technology frontier, and pursuit of academic quality indicate its immense development potential and academic value in the field of intelligent technology research. With the publication of more high-quality research outcomes, “Intelligent Technology Information” is expected to become one of the most important academic exchange platforms in the intelligent technology field.

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