Artificial Intelligence Discovery Journal

Open Access

Artificial Intelligence Discovery Journal (AIDJ) is an international, peer-reviewed scholarly publication dedicated to advancing research, innovation, and practical applications in intelligent computing systems and emerging digital technologies. The journal provides a platform for researchers, academicians, industry professionals, and practitioners to present original contributions that address contemporary challenges and opportunities in computational sciences. AIDJ encourages the publication of high-quality research articles, review papers, case studies, technical reports, and innovative methodologies that contribute to scientific and technological progress. The journal covers a broad spectrum of topics including machine learning, data analytics, computer vision, natural language processing, robotics, expert systems, intelligent automation, decision support systems, and related interdisciplinary domains. The journal promotes the exchange of ideas between academia and industry by fostering collaboration among researchers from diverse backgrounds. By disseminating novel findings and practical solutions, AIDJ aims to support the development of next-generation technologies that can address real-world problems across healthcare, education, finance, agriculture, manufacturing, transportation, and other sectors. Through a rigorous editorial and peer-review process, AIDJ maintains high standards of academic integrity, originality, and research quality. The journal welcomes contributions from both established scholars and emerging researchers, creating an inclusive environment for scientific discussion and knowledge sharing. As an open-access publication, all articles are freely available to readers without subscription barriers. This commitment enhances the visibility, accessibility, and impact of published research, enabling the global scientific community to benefit from the latest developments and discoveries. AIDJ strives to serve as a trusted source of scholarly information and a catalyst for innovation in the rapidly evolving landscape of intelligent technologies. AIDJ is committed to supporting innovative research that bridges theoretical foundations and practical applications, contributing to scientific advancement and societal development worldwide.

International Journal of Applied Data Science

Open Access

International Journal of Applied Data Science (IJADS) is an international, peer-reviewed, open-access scholarly journal dedicated to the advancement of research, innovation, and practical applications in the field of data science. The journal serves as a global platform for researchers, academicians, data analysts, industry professionals, and practitioners to publish high-quality original research and share emerging developments that contribute to the growth of data-driven technologies and decision-making processes. IJADS aims to promote the dissemination of scientific knowledge and technological advancements that leverage data-driven methodologies to solve complex problems across diverse domains. The journal encourages interdisciplinary research that integrates statistical analysis, computational methods, machine learning techniques, data mining, predictive analytics, artificial intelligence, and intelligent information systems. By fostering collaboration between academia and industry, IJADS seeks to bridge the gap between theoretical foundations and real-world applications. The journal publishes original research articles, review papers, case studies, technical reports, short communications, and survey articles that demonstrate significant contributions to the field. Areas of interest include, but are not limited to, big data analytics, statistical modeling, deep learning, business intelligence, data visualization, cloud-based analytics, computational intelligence, knowledge discovery, decision support systems, and emerging trends in data science. IJADS welcomes contributions that address contemporary challenges and opportunities in sectors such as healthcare, finance, engineering, education, agriculture, transportation, environmental science, cybersecurity, social sciences, and digital transformation. The journal particularly encourages studies that showcase innovative approaches for extracting meaningful insights from large and complex datasets to support informed decision-making and organizational effectiveness. As an open-access journal, IJADS ensures that all published articles are freely and permanently accessible to readers worldwide without subscription barriers. This policy enhances the visibility, accessibility, and impact of research, enabling the broader scientific community to benefit from the latest developments in applied data science and related disciplines. IJADS is committed to publishing impactful research that advances scientific understanding, promotes innovation, and supports the effective use of data-driven technologies for societal and industrial development.

Journal of Computational Intelligence

Open Access

Journal of Computational Intelligence (JCI) is an international, peer-reviewed, and open access journal focused on advancing knowledge in the fields of computational intelligence, intelligent computing, and new digital technologies. JCI acts as a global platform for scholars, educators, practitioners, and technological experts to present their cutting-edge research and discoveries that enable significant developments in intelligent computing systems. The journal publishes original research articles, reviews, case studies, short communications, and technical reports on various topics related to artificial intelligence, machine learning, computation, data sciences, neural networks, deep learning, robotics, and other advanced computing techniques. JCI supports the publication of innovative methods and multidisciplinary approaches used in addressing intricate challenges in science and engineering with intelligent computing technologies. JCI encourages the submission of works related to the study of intelligent system design, development, implementation, and evaluation in various fields. In line with this, the journal encourages studies which aim to link theories to real-world applications through collaboration and innovation between academic and industrial communities. Among the key themes of the journal are emerging issues in computational intelligence, algorithms, intelligent automation, prediction techniques, autonomous agents, and data analysis-based decision-making technologies. Every manuscript submitted to JCI will be thoroughly reviewed and evaluated through the process of peer review. In its effort to provide open access to its content, JCI guarantees that readers can freely download the journal's articles for further use. By publishing innovative and groundbreaking research, JCI hopes to help increase knowledge sharing and encourage future collaborations among scientists and experts within the field.