About the Journal

Journal of Artificial Intelligence and Soft Computing Techniques is an international, peer-reviewed, open access journal dedicated to the publication of high-quality research and scholarly work in the fields of artificial intelligence, soft computing, machine learning, data science, and intelligent systems. The journal serves as a comprehensive platform for researchers, computer scientists, engineers, academicians, and industry professionals to share innovative research, technological advancements, computational methodologies, and theoretical developments that contribute to the advancement of intelligent computing and next-generation technologies.

In an era of rapidly evolving artificial intelligence, big data, automation, and intelligent decision-making systems, the dissemination of reliable and impactful scientific knowledge has become increasingly important. The Journal of Artificial Intelligence and Soft Computing Techniques is established with the vision of promoting excellence in research and facilitating the global exchange of scientific information that bridges theoretical foundations with practical applications across academia, industry, and society.

The journal emphasizes the publication of original and significant contributions that advance the understanding and application of artificial intelligence, machine learning, deep learning, neural networks, evolutionary computing, swarm intelligence, expert systems, natural language processing, computer vision, robotics, intelligent optimization, data mining, pattern recognition, and computational intelligence. By maintaining a strong commitment to scientific rigor, transparency, and ethical publishing standards, the journal ensures that all published content meets the highest standards of academic excellence and research integrity.

As an international journal, the Journal of Artificial Intelligence and Soft Computing Techniques welcomes submissions from researchers, academic institutions, research organizations, and industry professionals across the globe. The journal aims to foster interdisciplinary collaboration among experts in computer science, artificial intelligence, mathematics, engineering, data science, information technology, robotics, healthcare, and related disciplines, encouraging the exchange of knowledge and innovative ideas that drive technological innovation and intelligent automation.

The journal provides equal opportunities for authors worldwide to publish their research, promoting inclusivity, diversity, and accessibility in scientific communication. By encouraging global participation and the dissemination of high-quality research, the Journal of Artificial Intelligence and Soft Computing Techniques contributes to the advancement of intelligent computing, supports the development of innovative AI-driven solutions, and promotes scientific and technological progress for the benefit of society.

Peer Review Excellence

The journal follows a rigorous double-blind peer review process, ensuring that both authors and reviewers remain anonymous throughout the evaluation process. This approach eliminates bias and guarantees a fair, objective, and transparent review of all submitted manuscripts.

Each submission undergoes a thorough assessment by qualified experts in the relevant field, who evaluate the manuscript based on originality, scientific validity, methodological soundness, and relevance to the journal’s focus. The editorial board carefully considers reviewers’ feedback before making final decisions regarding acceptance, revision, or rejection.

To meet the needs of researchers requiring timely publication, the journal also offers a fast-track review process, enabling rapid evaluation and publication of high-priority manuscripts without compromising the quality of peer review. This feature is particularly beneficial for time-sensitive research findings and emerging scientific developments.

Open Access Policy and Creative Commons Licensing

Journal of Artificial Intelligence and Soft Computing Techniques operates under a full open access publishing model, ensuring that all articles are freely accessible to readers worldwide without subscription barriers. This approach enhances the dissemination and impact of research, allowing knowledge to reach a broader audience including researchers, clinicians, policymakers, and the general public.

All published articles are distributed under Creative Commons licensing, which permits users to read, download, copy, distribute, and reproduce the content in any medium, provided that appropriate credit is given to the original authors. This policy supports the principles of transparency, accessibility, and knowledge sharing in scientific research.

Open access publishing not only increases the visibility of authors’ work but also contributes to higher citation rates and broader academic recognition.

Digital Identification and Indexing Support

To ensure the long-term accessibility and traceability of published research, the journal assigns a Digital Object Identifier (DOI) to each article through Crossref. This enables accurate citation, easy retrieval, and integration with global research databases.

In addition, all published articles are submitted for indexing in Google Scholar after publication, enhancing discoverability and ensuring that research is accessible to the global academic community. The journal continuously works toward inclusion in additional indexing and abstracting databases to further expand its reach and credibility

Language and Accessibility

The journal publishes all manuscripts in English, the universally accepted language of scientific communication. This ensures clarity, consistency, and accessibility for an international audience.

Authors are encouraged to present their research in a clear and concise manner, enabling readers from diverse academic and professional backgrounds to understand and apply the findings effectively. The journal also supports the use of standardized scientific terminology and formatting to maintain consistency across publications.

Ethical Standards and Integrity

The journal is committed to maintaining the highest standards of publication ethics and academic integrity. All submissions are expected to be original and free from plagiarism, data fabrication, or any form of unethical practice.

Authors are required to disclose any potential conflicts of interest and ensure that their research complies with ethical guidelines, particularly in studies involving human participants or animals. The journal follows internationally recognized ethical standards to safeguard the credibility and reliability of published research.

By enforcing strict ethical policies, the journal ensures trust among authors, reviewers, and readers.

Contribution to Scientific Advancement

The primary goal of the Journal of Artificial Intelligence and Soft Computing Techniques is to contribute meaningfully to the advancement of artificial intelligence, soft computing, and intelligent systems by publishing high-quality, evidence-based research that addresses emerging challenges in computational science and technology. Through the dissemination of innovative scientific findings and the promotion of interdisciplinary collaboration, the journal supports the development of intelligent algorithms, computational models, and AI-driven solutions that advance research, industry, and society.

The journal encourages original research in areas including machine learning, deep learning, soft computing, intelligent systems, data science, robotics, natural language processing, computer vision, and optimization techniques. It also promotes the translation of theoretical research into practical applications across academia, industry, engineering, and other sectors.

Committed to scientific excellence, transparency, and ethical publishing practices, the journal strives to serve as a trusted and influential source of knowledge for researchers, computer scientists, engineers, data scientists, academicians, and industry professionals worldwide.

By fostering innovation, encouraging global collaboration, and ensuring the broad accessibility of high-quality research, the journal contributes to the continuous advancement of artificial intelligence and soft computing techniques, supporting the development of intelligent technologies that improve decision-making, automation, efficiency, and the quality of life across diverse sectors.

ISSN

ISSN No: 3066-5655

Journal Information

  • Frequency: Monthly
  • Publication: Online & Print
  • Impact Factor (2024): 0.247
  • Journal Type: Open Access
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