Looking to stay up to date with the latest advancements and research in the field of artificial intelligence? Look no further than Artificial Intelligence Review, a fully open access journal starting from January 2024. This exciting development means that all content will be freely available, allowing for wider dissemination and accessibility of cutting-edge research in artificial intelligence, cognitive science, and related disciplines. Artificial Intelligence Review publishes state-of-the-art research reports, critical evaluations, survey articles, tutorials, and commentary on significant developments, making it an essential resource for researchers and application developers in these fields. So, get ready to dive into the world of AI and explore the latest findings and breakthroughs.
Articles Published in the Latest Issue
Multi-label feature selection via maximum dynamic correlation change and minimum label redundancy
Self-evolving reasoning for task-user relationships in mobile crowdsensing via the autonomic knowledge graph
Secure trust aware multi-objective routing protocol based on battle competitive swarm optimization in IoT
Model free position-force control of environmental constrained reconfigurable manipulators based on adaptive dynamic programming
A practical utility-based but objective approach to model selection for regression in scientific applications
In the latest issue of Artificial Intelligence Review, several articles have been published, covering a diverse range of topics in the field of artificial intelligence and related disciplines. These articles provide valuable insights and contribute to the advancement of knowledge in these areas. Let’s take a closer look at each of the articles and their respective contributions.
The first article, titled “Multi-label feature selection via maximum dynamic correlation change and minimum label redundancy,” addresses the challenging task of feature selection in multi-label classification problems. The authors propose a novel approach that combines maximum dynamic correlation change and minimum label redundancy to effectively identify the most relevant features for accurate classification. This research has significant implications for improving the performance of multi-label classification models.
The second article, “Self-evolving reasoning for task-user relationships in mobile crowdsensing via the autonomic knowledge graph,” explores the concept of self-evolving reasoning in the context of mobile crowdsensing. The authors introduce the autonomic knowledge graph, which enables the dynamic adaptation of task-user relationships in mobile crowdsensing applications. This research opens up new possibilities for enhancing the efficiency and effectiveness of mobile crowdsensing systems.
The third article, titled “Secure trust aware multi-objective routing protocol based on battle competitive swarm optimization in IoT,” focuses on the development of a secure trust-aware routing protocol for the Internet of Things (IoT). The authors propose a novel approach based on battle competitive swarm optimization, which effectively balances security and trust requirements in IoT networks. This research contributes to the development of robust and secure routing protocols for IoT applications.
The fourth article, “Model free position-force control of environmental constrained reconfigurable manipulators based on adaptive dynamic programming,” addresses the challenging problem of position-force control in environmental constrained reconfigurable manipulators. The authors propose a model-free approach based on adaptive dynamic programming, which enables efficient control of manipulators in complex environments. This research has implications for the development of advanced control strategies for versatile manipulators.
Lastly, the article titled “A practical utility-based but objective approach to model selection for regression in scientific applications” presents a practical and objective approach to model selection for regression problems in scientific applications. The authors introduce a utility-based framework that prioritizes both model accuracy and simplicity. This research provides a valuable tool for researchers and practitioners in selecting appropriate regression models for their scientific applications.
Overall, the articles published in the latest issue of Artificial Intelligence Review showcase the latest advancements and contributions in the field of artificial intelligence and related disciplines. These research papers address diverse topics and offer innovative solutions to various challenges, contributing to the advancement of knowledge in these domains.
About Artificial Intelligence Review
Publishing Model
Artificial Intelligence Review follows a hybrid publishing model. In January 2024, the journal will transition to become a fully open-access journal. This means that all articles published in Artificial Intelligence Review will be freely available to readers worldwide, enabling the widest possible dissemination and reuse of research findings. This transition reflects the journal’s commitment to open research and the aim to provide researchers with open-access publication venues.
Journal Metrics
Artificial Intelligence Review is a prestigious international science and engineering journal. It has a strong impact factor of 12.0 (2022), indicating its influence and significance within the field of artificial intelligence and related disciplines. The journal also has a five-year impact factor of 11.6 (2022), further demonstrating its long-term impact and relevance. These metrics highlight the quality and reputation of Artificial Intelligence Review as a publication venue for cutting-edge research.
Transition to Fully Open Access Journal
Introduction to the Transition
Artificial Intelligence Review is undergoing a significant transition to become a fully open-access (OA) journal starting from 1 January 2024. This means that all articles published in the journal will be freely available to readers without any subscription barriers. This transition represents a commitment to open research and the broader dissemination of scientific knowledge.
Benefits of Open Access
The move to become a fully open-access journal brings several benefits to both researchers and the wider scientific community. Open access allows for the unrestricted access and dissemination of research findings, making them available to a global audience. This increased visibility can lead to greater impact, as research is more easily discovered and cited. Additionally, open access fosters collaboration and innovation by removing financial barriers to accessing scientific literature.
Frequently Asked Questions
To provide clarity and address any questions that authors and readers may have regarding the transition to a fully open-access journal, Artificial Intelligence Review has compiled a list of frequently asked questions (FAQs). These FAQs cover topics such as article publication charges (APCs), funding options, waivers, and the transition process itself. Readers and authors are encouraged to consult the FAQs for more information on the journal’s transition to fully open access.
Submission Guidelines and Process
Guidelines for Authors
Artificial Intelligence Review has specific guidelines in place to ensure that authors can submit their work in a standardized and efficient manner. These guidelines cover aspects such as manuscript formatting, referencing style, and the submission process. Authors are encouraged to carefully review these guidelines before submitting their work to ensure compliance with the journal’s requirements.
Language Editing Services
To facilitate effective communication and ensure the quality of published articles, Artificial Intelligence Review offers language editing services. These services provide support to authors who may require assistance in improving the clarity and coherence of their manuscripts. Language editing can enhance the overall readability and impact of research papers, contributing to the dissemination of knowledge in the field of artificial intelligence.
Ethics and Disclosures
Artificial Intelligence Review values ethical conduct in research and expects authors to adhere to specific ethical standards. The journal requires authors to disclose any potential conflicts of interest, funding sources, and ethical considerations relevant to their research. This transparency ensures the integrity and credibility of published articles and upholds ethical best practices.
Open Access Fees and Funding
As Artificial Intelligence Review transitions to a fully open-access journal, there will be article publication charges (APCs) associated with publishing in the journal. These charges contribute to the costs associated with the publication process, including peer review, editing, typesetting, and hosting the article on an open-access platform. Funding options and waivers may be available to authors who require financial support. Details regarding open access fees and funding options can be found in the journal’s FAQs.
Contact Information
For any queries or further information related to submissions, authors are encouraged to contact Artificial Intelligence Review. The journal’s contact information can be found on their website, and the editorial team is readily available to assist authors throughout the submission and publication process.
Research Scope and Topics Covered
Artificial Intelligence
Artificial Intelligence Review focuses on the study and development of artificial intelligence (AI) techniques, algorithms, and applications. The journal welcomes research papers that push the boundaries of AI, including areas such as machine learning, natural language processing, computer vision, robotics, and knowledge representation. By covering a broad spectrum of AI topics, the journal aims to contribute to the advancement of the field and foster interdisciplinary research.
Cognitive Science
Cognitive Science investigates the nature of human cognition, including perception, memory, language, and problem-solving. Artificial Intelligence Review recognizes the close connection between AI and cognitive science and welcomes research papers that explore the intersection of these disciplines. Contributions that enhance our understanding of human cognition and bridge the gap between AI and cognitive science are of particular interest to the journal.
Related Disciplines
In addition to artificial intelligence and cognitive science, Artificial Intelligence Review also covers related disciplines that intersect with AI. These may include but are not limited to areas such as data science, neural networks, human-computer interaction, computational linguistics, and bioinformatics. By encompassing a wide range of related disciplines, the journal provides a platform for interdisciplinary research and collaboration.
Refereed Survey and Tutorial Articles
Importance of Survey and Tutorial Articles
Artificial Intelligence Review recognizes the importance of survey and tutorial articles in providing comprehensive overviews and insights into specific areas of research. These types of articles synthesize existing knowledge, highlight key findings, and provide guidance to researchers and practitioners. Survey and tutorial articles play a crucial role in disseminating knowledge, fostering a deeper understanding of complex topics, and identifying future research directions.
How to Submit Survey and Tutorial Articles
Authors interested in submitting survey and tutorial articles to Artificial Intelligence Review are encouraged to follow the journal’s submission guidelines. These guidelines outline the specific requirements and formatting instructions for these types of articles. By adhering to the guidelines, authors can ensure that their survey and tutorial articles meet the expectations of the journal and effectively contribute to the field of artificial intelligence.
Reviews and Commentary on Developments
Role of Reviews and Commentary
Reviews and commentary articles serve as platforms for critical analysis and discussion of significant developments in the field of artificial intelligence. These articles provide authors with an opportunity to express their opinions, evaluate recent advancements, and offer insights into emerging trends. By including reviews and commentary, Artificial Intelligence Review aims to foster intellectual discourse and contribute to the ongoing dialogue within the research community.
Types of Developments Covered
Reviews and commentary articles published in Artificial Intelligence Review encompass a wide range of developments in artificial intelligence. These may include novel algorithms, innovative applications, breakthrough research findings, or emerging trends and challenges. The journal invites authors to critically examine and reflect on these developments, assess their implications, and provide meaningful commentary that contributes to the advancement of the field.
Submission Guidelines for Reviews and Commentary
Authors interested in submitting reviews and commentary articles to Artificial Intelligence Review are encouraged to consult the journal’s submission guidelines. These guidelines provide specific instructions and expectations for these types of articles, ensuring that they align with the journal’s standards of quality and rigor. By following the submission guidelines, authors can effectively contribute to the discourse and knowledge exchange in the field of artificial intelligence.
Editorial Board
Introduction to the Editorial Board
Artificial Intelligence Review boasts a distinguished Editorial Board, comprised of experts in the field of artificial intelligence and related disciplines. The Editorial Board plays a crucial role in ensuring the quality and integrity of the journal’s publications. With their diverse expertise and qualifications, the board members actively contribute to the evaluation and selection of articles, providing valuable insights and guidance to authors throughout the publication process.
Expertise and Qualifications of Board Members
The members of the Editorial Board are selected based on their expertise and contributions to the field of artificial intelligence. They are accomplished researchers and practitioners who have made significant advancements and demonstrated excellence in their respective areas of specialization. Their qualifications and dedication to advancing knowledge in artificial intelligence ensure the integrity and quality of the journal.
Aims and Scope
Overview of the Journal’s Aims and Scope
Artificial Intelligence Review has a clear aim to publish state-of-the-art research reports and critical evaluations in the field of artificial intelligence. The journal seeks to foster the dissemination of knowledge and facilitate the exchange of ideas among researchers and application developers in artificial intelligence, cognitive science, and related disciplines. By providing a platform for high-quality research, the journal aims to contribute to advancements in the field and promote interdisciplinary collaboration.
Key Topics and Areas of Focus
Artificial Intelligence Review covers a wide range of topics and areas within the field of artificial intelligence. This includes, but is not limited to, machine learning, natural language processing, computer vision, robotics, knowledge representation, and cognitive science. The journal prioritizes research that pushes the boundaries of AI, addresses fundamental challenges, and has practical applications. By encompassing diverse topics, the journal aims to reflect the interdisciplinary nature of artificial intelligence and highlight its impact across various domains.
Open Access Fees and Funding Options
Explanation of Article Publication Charges
With the transition to a fully open-access journal, Artificial Intelligence Review will require article publication charges (APCs) for accepted manuscripts. These charges contribute to the costs associated with the publication process, including peer review, editing, typesetting, and hosting the articles on an open-access platform. The specific APC amount and payment methods will be provided to authors upon acceptance of their manuscripts.
Funding Options and Waivers
Artificial Intelligence Review recognizes that authors may require financial support to cover the APCs. Funding options and waivers may be available to authors who are unable to cover the publication charges. Authors are encouraged to explore these options and seek financial support from their institutions or funding agencies. The availability of funding options and waivers will be communicated to authors during the publication process.
Information on Institutional Support
Institutional support plays a vital role in enabling researchers to publish in open-access journals such as Artificial Intelligence Review. Many institutions have dedicated funds or grants that can be utilized to cover publication charges. Authors are advised to consult their institutions’ research support offices or library services to inquire about available funding options. Additionally, researchers may consider collaborating with organizations or industrial partners that can provide financial backing for their publications.
In conclusion, Artificial Intelligence Review’s transition to a fully open-access journal represents a significant step towards promoting the open dissemination of knowledge. The latest issue features articles that cover a wide range of topics in artificial intelligence and related disciplines. Authors can refer to the submission guidelines to ensure their work aligns with the journal’s requirements. The Editorial Board, consisting of renowned experts, ensures the integrity and quality of the journal’s publications. The transition to open access comes with article publication charges; however, funding options and waivers are available to support authors. Overall, Artificial Intelligence Review facilitates the advancement of knowledge in artificial intelligence and fosters interdisciplinary collaboration.
