The Collection.
Fusion: Practice and Applications
Fusion: Practice and Applications (FPA) is an international, peer-reviewed journal dedicated to advancing research in information fusion and its practical and theoretical applications. The journal provides a platform for the dissemination of original research articles and review papers that contribute to the integration, processing, and analysis of heterogeneous data from multiple sources.FPA emphasizes interdisciplinary approaches that combine methodologies from data science, artificial intelligence, signal processing, and decision systems to address complex real-world problems. The journal encourages contributions that advance both the theoretical foundations and practical implementations of information fusion across diverse domains.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.FPA is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Journal of Cybersecurity and Information Management
Journal of Cybersecurity and Information Management (JCIM) is an international, peer-reviewed journal dedicated to advancing research in cybersecurity, information management, and secure digital systems. The journal provides a scholarly platform for the publication of original research articles and review papers addressing the protection, management, and resilience of modern information infrastructures.JCIM emphasizes innovative and interdisciplinary approaches to securing current and emerging information systems, including applications in smart cities, cloud computing, IoT, and data-driven environments. The journal encourages contributions that address both theoretical advancements and practical solutions for safeguarding digital assets and ensuring reliable information management.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.JCIM is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Journal of Intelligent Systems and Internet of Things
Journal of Intelligent Systems and Internet of Things (JISIoT) is an international, peer-reviewed journal dedicated to advancing research in Internet of Things (IoT) and intelligent systems. The journal provides a scholarly platform for the publication of original research articles, review papers, and case studies addressing the design, development, and application of intelligent and connected systems in modern digital environments.JISIoT emphasizes interdisciplinary research that integrates IoT technologies with artificial intelligence, machine learning, and data-driven approaches to enable smart, adaptive, and scalable solutions across diverse application domains. The journal encourages contributions ranging from theoretical models and algorithms to practical system implementations and real-world applications.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.JISIoT is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
International Journal of Wireless and Ad Hoc Communication
International Journal of Wireless and Ad Hoc Communication (IJWAC) is an international, peer-reviewed journal dedicated to advancing research in wireless communication and ad hoc networking systems. The journal provides a scholarly platform for the publication of original research articles and review papers addressing the design, analysis, and optimization of wireless and decentralized communication networks.IJWAC focuses on both theoretical and applied research related to emerging wireless technologies, mobile and ad hoc networks, and communication protocols. The journal encourages contributions that address performance, reliability, scalability, and security challenges in modern wireless communication environments.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.IJWAC is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
International Journal of BIM and Engineering Science
International Journal of BIM and Engineering Science (IJBES) is an international, peer-reviewed journal dedicated to advancing research in Building Information Modeling (BIM) and its integration with engineering science. The journal provides a scholarly platform for the publication of original research articles, review papers, and case studies addressing digital transformation in the architecture, engineering, and construction (AEC) industry.IJBES focuses on innovative methodologies and applications of BIM in integrated design, construction management, and project lifecycle optimization. The journal encourages contributions that explore data-driven and intelligent approaches to improve efficiency, collaboration, and sustainability in engineering and construction practices.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.IJBES is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Journal of Neutrosophic and Fuzzy Systems
Journal of Neutrosophic and Fuzzy Systems (JNFS) is an international, peer-reviewed journal dedicated to advancing research in fuzzy systems, neutrosophic theory, and their hybrid computational frameworks. The journal provides a scholarly platform for the publication of original research articles and review papers addressing both the theoretical foundations and practical applications of soft computing methodologies.JNFS focuses on the development of fuzzy and neutrosophic models, their extensions, and their integration with modern computational techniques. The journal encourages contributions in areas such as decision-making systems, data mining, knowledge representation, granular computing, graph analytics, and hybrid intelligent systems, as well as emerging applications in science, engineering, and data-driven environments.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.JNFS is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Journal of Cognitive Human-Computer Interaction
Journal of Cognitive Human Computer Interaction (JCHCI) is an international, peer-reviewed journal dedicated to advancing research in cognitive aspects of human–computer interaction (HCI) and intelligent interactive systems. The journal provides a scholarly platform for the publication of original research articles and review papers that explore the integration of cognitive science, user behavior, and computational methods in the design and evaluation of interactive technologies.JCHCI focuses on interdisciplinary research that combines human-centered design with artificial intelligence, data analytics, and cognitive modeling to enhance usability, user experience, and system intelligence. The journal encourages contributions addressing areas such as user behavior analysis, adaptive interfaces, human-centered AI, and interactive system design across diverse application domains.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.JCHCI is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
International Journal of Artificial Intelligence and Education Technology
International Journal of Artificial Intelligence and Education Technology (IJAIET) is an international, peer-reviewed journal dedicated to advancing research in artificial intelligence and its applications in education technology. The journal provides a scholarly platform for the publication of original research articles and review papers that explore intelligent systems, data-driven methods, and innovative technologies for enhancing teaching, learning, and educational management.IJAIET focuses on interdisciplinary research that integrates artificial intelligence, machine learning, learning analytics, and digital technologies to support adaptive learning environments, intelligent tutoring systems, and data-informed educational practices. The journal encourages contributions addressing both theoretical developments and practical applications across diverse educational contexts.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.IJAIET is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Journal of Artificial Intelligence and Metaheuristics
Journal of Artificial Intelligence and Metaheuristics (JAIM) is an international, peer-reviewed scholarly journal dedicated to advancing research in artificial intelligence and metaheuristic optimization. The journal provides a rigorous platform for the publication of original research articles and authoritative review papers that present novel theoretical developments, methodological innovations, and impactful real-world applications in these fields.JAIM operates a structured and transparent editorial and peer-review process designed to ensure the highest standards of scientific quality, originality, and integrity. All submitted manuscripts undergo initial editorial screening followed by independent peer review conducted by qualified experts in the relevant domain.Authors are invited to submit manuscripts prepared in any standard academic format at the initial submission stage. Compliance with a specific journal template is not required before peer review. Upon acceptance, all manuscripts are professionally edited, formatted, and typeset by the journal’s production team in accordance with official publication standards to ensure consistency and quality of presentation.JAIM is committed to upholding high standards of publication ethics, research integrity, and transparency. Authors are required to ensure that their submissions comply with established ethical standards, including originality, proper citation, transparent authorship, and the disclosure of any conflicts of interest.JAIM follows the ASPG Publication Ethics and Malpractice Statement. Submission of a manuscript implies that authors comply with the journal’s editorial policies, ethical requirements, and copyright regulations (see the Publication Ethics and Malpractice Statement for full details). Authors agree to the publisher’s copyright and licensing terms upon acceptance (see the Copyright and Licensing Policy). Details of the editorial and review workflow are available in the Peer Review Process page.
International Journal of Advances in Applied Computational Intelligence
International Journal of Advances in Applied Computational Intelligence (IJAACI) is an international, peer-reviewed journal dedicated to advancing research in computational intelligence and its real-world applications. The journal provides a scholarly platform for the publication of original research articles and review papers addressing the development and application of intelligent computational methods to solve complex problems across diverse domains.IJAACI focuses on interdisciplinary research that integrates artificial intelligence, machine learning, signal processing, and robotics to design adaptive, efficient, and intelligent systems. The journal encourages contributions that combine theoretical innovation with practical implementation in areas such as data-driven modeling, intelligent control, and advanced computational frameworks.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.IJAACI is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Neutrosophic and Information Fusion
Neutrosophic and Information Fusion (NIF) is an international, peer-reviewed journal published by ASPG. The journal provides a platform for high-quality research in neutrosophic theory and information fusion, including neutrosophic sets, logic, probability, statistics, and algebraic structures, as well as their integration with data analytics, intelligent systems, and decision support applications. NIF encourages the submission of original research articles, review papers, and applied studies that advance both theoretical developments and practical implementations across interdisciplinary domains.All submissions undergo initial editorial screening followed by a rigorous peer-review process conducted by independent experts. Further details are available in the Peer Review Process.Authors may submit manuscripts prepared in any standard academic format. Detailed preparation instructions are provided in the Author Guidelines.NIF is committed to maintaining high standards of publication ethics, research integrity, and transparency. Authors must ensure compliance with the publisher’s policies as outlined in the Publication Ethics and Malpractice Statement.Submission of a manuscript implies agreement with the publisher’s copyright and licensing terms as described in the Copyright and Licensing Policy.
Metaheuristic Optimization Review
Metaheuristic Optimization Review is journal that publishes cutting-edge research in metaheuristic optimization and cognitive science. The journal features state-of-the-art research articles, critical evaluations, and reviews that explore advanced applications, techniques, and algorithms within the metaheuristic optimization domain. It serves as a platform for presenting novel ideas and methodologies that push the boundaries of metaheuristic approaches and their applications. By offering comprehensive reviews and insightful commentary on significant developments, the journal aims to support researchers and practitioners in advancing the field and fostering innovation in both theoretical and applied aspects of metaheuristic optimization.