APPLIED INTELLIGENCE
Scope & Guideline
Transforming ideas into impactful AI applications.
Introduction
Aims and Scopes
- Artificial Intelligence Applications:
The journal covers a wide range of applications of AI, including healthcare, finance, transportation, and environmental monitoring, focusing on how AI can be used to enhance decision-making, prediction, and automation. - Machine Learning Techniques:
Research on various machine learning techniques, including supervised, unsupervised, and reinforcement learning, is a core focus. This includes advancements in neural networks, deep learning, and ensemble methods. - Data Mining and Knowledge Discovery:
The journal publishes studies on data mining techniques, including frequent pattern mining, anomaly detection, and knowledge graph construction, highlighting how these methods can be integrated into intelligent systems. - Optimization Algorithms:
Research on optimization techniques, including genetic algorithms, swarm intelligence, and hybrid methods, aimed at improving the performance of AI systems in various applications. - Human-Computer Interaction:
The journal explores how AI can enhance human-computer interaction, focusing on user experience, adaptive interfaces, and personalized systems. - Explainability and Interpretability of AI:
There is a growing emphasis on the explainability of AI models, addressing the need for transparency and trust in AI systems, particularly in sensitive applications like healthcare and finance.
Trending and Emerging
- Deep Learning Innovations:
There is a significant increase in publications focusing on innovative deep learning architectures and techniques, particularly in areas like computer vision, natural language processing, and generative models. - Federated Learning and Privacy-Preserving Technologies:
Research in federated learning has gained momentum, reflecting a growing concern for data privacy and security, especially in applications involving sensitive personal data. - Explainable AI (XAI):
The demand for explainable AI has surged, with researchers exploring methods to make AI systems more interpretable and accountable, addressing ethical concerns in AI deployment. - AI for Social Good:
A notable trend is the application of AI to address social challenges, such as healthcare disparities, climate change, and disaster response, indicating a broader societal impact focus. - Integration of AI with IoT and Edge Computing:
The convergence of AI with the Internet of Things (IoT) and edge computing is emerging as a critical research area, emphasizing real-time data processing and intelligent decision-making on devices. - Multi-Modal Learning:
There is an increasing interest in multi-modal learning approaches that combine data from various sources (text, images, audio) to enhance model performance and robustness.
Declining or Waning
- Rule-Based Systems:
While rule-based systems were once a significant focus in AI research, their prominence has diminished in favor of data-driven approaches, particularly deep learning models that offer greater flexibility and accuracy. - Traditional Expert Systems:
The decline in the publication of traditional expert systems indicates a shift towards more adaptive and learning-based systems that can handle uncertainty and variability in real-world applications. - Static Machine Learning Models:
There is a noticeable reduction in research on static models that do not adapt or learn from new data, as the field moves towards dynamic and continual learning frameworks. - Basic Statistical Methods in AI:
The prevalence of basic statistical methods has decreased as more complex and sophisticated techniques, such as deep learning and ensemble methods, have become more mainstream. - Single-Task Learning Approaches:
Research focusing solely on single-task learning is waning as multi-task learning and transfer learning approaches gain traction, allowing models to leverage shared knowledge across different tasks.
Similar Journals
NEURAL COMPUTING & APPLICATIONS
Unlocking the Potential of Neural AlgorithmsNEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.
Progress in Artificial Intelligence
Driving Breakthroughs in Intelligent SystemsProgress in Artificial Intelligence is a leading journal published by SpringerNature, dedicated to advancing knowledge and research in the field of artificial intelligence. With a strong emphasis on the latest developments from 2012 through 2024, this journal enjoys a prominent position, holding a Q2 ranking in the prestigious Artificial Intelligence category for 2023, as well as achieving an impressive ranking of 64 out of 350 in the Computer Science - Artificial Intelligence category on Scopus, placing it in the 81st percentile. Progress in Artificial Intelligence serves as an essential platform for researchers, professionals, and students seeking to share innovative algorithms, applications, and theoretical advancements. Although it operates under a subscription model, its commitment to disseminating high-quality research and fostering collaboration in the AI community significantly contributes to the ongoing evolution of this exciting discipline.
AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.
KNOWLEDGE AND INFORMATION SYSTEMS
Transforming Ideas into Impactful SolutionsKNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.
Journal of Advanced Computational Intelligence and Intelligent Informatics
Advancing Knowledge in Computational IntelligenceThe Journal of Advanced Computational Intelligence and Intelligent Informatics, published by FUJI TECHNOLOGY PRESS LTD, stands as a pivotal platform in the fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 1997, this Open Access journal has been providing accessible insights into the latest advancements in computational intelligence and informatics since 2007. With its ISSN 1343-0130 and E-ISSN 1883-8014, this journal invites a diverse readership, including researchers, professionals, and students eager to explore innovative methodologies and applications. Despite its current Q4 ranking in the relevant categories, the journal remains committed to contributing valuable knowledge to the academic community and enhancing the global discourse in computational technologies. With its focus on fostering communication and collaboration among scholars, the journal plays an essential role in driving forward the understanding of intelligent systems and their applications in various domains.
Journal of Intelligent Systems
Diving Deep into Intelligent Systems and SolutionsThe Journal of Intelligent Systems, published by DE GRUYTER POLAND SP Z O O, is a premier open access journal that has been at the forefront of advancements in the fields of Artificial Intelligence, Information Systems, and Software Engineering since its inception in 1991. With a commitment to disseminating high-quality research, the journal has been recognized in the 2023 category quartiles as Q3 in these critical areas, reflecting its relevance and impact in the academic community. The journal serves as a vital platform for researchers, professionals, and students interested in the evolving landscape of intelligent systems, offering insights into innovative methodologies and applications. As an open access publication since 2020, it ensures that research is readily available to a global audience, fostering collaboration and engagement within the scientific community. With a Scopus rank in the 65th to 69th percentiles across its categories, The Journal of Intelligent Systems continues to contribute significantly to the discourse on intelligent technologies and their implications for the future.
DATA MINING AND KNOWLEDGE DISCOVERY
Unveiling Insights, Transforming Data into KnowledgeDATA MINING AND KNOWLEDGE DISCOVERY, published by Springer, stands as a premier journal within the realms of Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive impact factor and a notable presence in various rankings—achieving the Q1 category in 2023—we invite researchers, professionals, and students alike to explore cutting-edge methodologies and innovative applications in data mining. Established in 1997 and continuing its journey through to 2024, the journal not only contributes significantly to the advancement of knowledge in computational techniques but also fosters an understanding of the complex interrelations in data systems. Though not an open access publication, it offers a wealth of insights crucial for driving advancements in technology and analytics. Based in Dordrecht, Netherlands, the journal remains dedicated to disseminating high-quality research and is essential reading for anyone engaged in the ever-evolving field of data science.
ACM Transactions on Interactive Intelligent Systems
Unveiling Insights at the Crossroads of Technology and Humanity.ACM Transactions on Interactive Intelligent Systems is a distinguished journal published by the Association for Computing Machinery (ACM), specializing in the realms of Artificial Intelligence and Human-Computer Interaction. With an impactful presence in the academic community, it boasts a respectable Q2 quartile ranking in both fields as of 2023, highlighting its significant contributions to advancing interactive intelligent systems. The journal, identified by ISSN 2160-6455 and E-ISSN 2160-6463, encompasses a broad spectrum of research from theoretical advancements to practical implementations, offering invaluable insights for researchers, professionals, and students. The journal not only serves as a platform for innovative ideas and methodologies but also emphasizes the importance of interdisciplinary approaches in its publications. Positioned in the United States, at 1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434, it stands out for its commitment to quality, rigor, and relevance within the computing and interactive systems sectors.
International Journal of Computational Intelligence Systems
Connecting Researchers with Cutting-Edge InsightsInternational Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.
KNOWLEDGE-BASED SYSTEMS
Elevating Knowledge Through Cutting-Edge Research and ApplicationsKNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.