APPLIED INTELLIGENCE
Scope & Guideline
Shaping the landscape of applied intelligence for tomorrow.
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
Progress in Artificial Intelligence
Transforming Ideas into AI InnovationsProgress 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.
International Journal of Automation and Computing
Advancing Innovation in Automation and ComputingInternational Journal of Automation and Computing, published by SPRINGERNATURE, is a premier academic journal dedicated to advancing knowledge in the fields of applied mathematics, computer science applications, control and systems engineering, and modeling and simulation. With an impressive impact factor and consistently ranked in the Q1 Quartile for its respective categories in 2023, the journal is recognized for its high-quality research and contributions to the automation and computing sectors. This journal provides open access to its articles, promoting the dissemination of innovative ideas and methodologies across a global audience. Based in China but serving an international community, the journal is key for researchers, professionals, and students looking to stay at the forefront of automation and computing technologies. Its rigorous peer-review process ensures that published works meet the highest scientific standards, making it an essential resource for those seeking to deepen their understanding and engage in cutting-edge research.
International Journal of Computing Science and Mathematics
Empowering Research in Computing Science and MathematicsThe International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.
Intelligenza Artificiale
Unveiling the Future of Intelligent SystemsIntelligenza Artificiale is a prominent academic journal dedicated to advancing the field of artificial intelligence, published by IOS PRESS, a renowned publisher in the scientific community. Based in the Netherlands, this journal's ISSN is 1724-8035 and its E-ISSN is 2211-0097. With a current impact factor that reflects its relevance in the scholarly landscape, it operates in the Q2 quartile of the Artificial Intelligence category as of 2023, which ranks it notably at #200 out of 350 within its field according to Scopus data. The journal provides a valuable platform for researchers, professionals, and students to disseminate and access cutting-edge findings from 2018 to 2024, focusing on the innovative applications and theoretical developments in artificial intelligence. With its commitment to fostering academic dialogue and collaboration, Intelligenza Artificiale is essential for anyone looking to stay at the forefront of AI research and practice.
International Journal of Cognitive Informatics and Natural Intelligence
Transforming Understanding through Cognitive ResearchThe International Journal of Cognitive Informatics and Natural Intelligence, published by IGI Global, is an essential resource for researchers and professionals exploring the intersections of cognitive informatics, artificial intelligence, and human-computer interaction. Since its establishment in 2007, this journal has focused on advancing the understanding of cognitive systems and their applications in natural intelligence, contributing significantly to the fields of software engineering and interface design. Operating out of the United States, the journal aims to disseminate high-quality research and innovative methodologies to foster interdisciplinary collaboration. Despite its current standing in Q4 quartiles for the fields of Artificial Intelligence, Human-Computer Interaction, and Software, it serves as a vital platform for emerging scholars and seasoned professionals alike seeking to explore new frontiers in cognitive technologies. While it does not provide direct open access, these publications are instrumental in shaping academic discourse, and contribute to ongoing advancements in how we understand and integrate cognitive science into practical applications.
Computer Science-AGH
Exploring Diverse Dimensions of Computer ScienceComputer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Bridging Academia and Industry in Intelligent SolutionsThe Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.
ACM Transactions on Knowledge Discovery from Data
Innovative Research for a Data-Driven FutureACM Transactions on Knowledge Discovery from Data (TKDD), published by the Association for Computing Machinery, is a prestigious journal at the forefront of the interdisciplinary realm of data mining and knowledge discovery. With an impressive Q1 ranking in Computer Science and a Scopus rank of #43 out of 232, this journal stands out as a top-tier resource for innovative research that addresses complex challenges in data science. Covering impactful studies from 2007 to 2024, TKDD presents cutting-edge algorithms, methodologies, and applications that shape the future of knowledge extraction from vast datasets. While not an open-access journal, it provides a platform for researchers, professionals, and students to disseminate their findings and engage with the latest advancements in this rapidly evolving field. By fostering collaboration and knowledge sharing, TKDD plays a vital role in advancing the understanding and application of data analysis techniques, making it an essential read for anyone involved in the pursuit of knowledge from data.
International Journal of Advanced Computer Science and Applications
Advancing the Frontier of Computer Science Research.International Journal of Advanced Computer Science and Applications, published by SCIENCE & INFORMATION SAI ORGANIZATION LTD, stands as a significant platform in the ever-evolving field of computer science. With its ISSN 2158-107X and E-ISSN 2156-5570, the journal aims to disseminate high-quality research and innovations from diverse areas within computer science, embracing cutting-edge technologies and methodologies. As of 2023, it holds a commendable Q3 ranking in the field, placing it among a competitive cohort of journals while showcasing its commitment to scholarly excellence. The journal operates under an open access model, ensuring that its content is widely accessible to researchers, professionals, and students alike, thereby fostering a collaborative environment for knowledge-sharing and advancing the discipline. With a history of converged contributions from 2017 to 2024, the International Journal of Advanced Computer Science and Applications serves as a vital resource for those seeking to stay at the forefront of computer science research and applications.
Journal of Advanced Computational Intelligence and Intelligent Informatics
Unlocking the Potential of Intelligent InformaticsThe 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.