APPLIED INTELLIGENCE
Scope & Guideline
Connecting research and practice in the world of AI.
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
ACM Transactions on Interactive Intelligent Systems
Fostering Interdisciplinary Innovations in Intelligent Systems.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 Advanced Computer Science and Applications
Unlocking New Horizons in Computer Science Applications.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.
SOFT COMPUTING
Driving Excellence in Soft Computing ResearchSOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.
Machine Intelligence Research
Elevating the Standards of Machine Intelligence ResearchMachine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.
NEURAL COMPUTING & APPLICATIONS
Driving Insights in Artificial Intelligence ApplicationsNEURAL 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.
IEEE INTELLIGENT SYSTEMS
Pioneering Research in Machine Learning and BeyondIEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.
ACM Transactions on Knowledge Discovery from Data
Empowering Researchers with Knowledge Extraction TechniquesACM 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 INTELLIGENT SYSTEMS
Fostering Interdisciplinary Dialogues in Intelligent TechnologiesInternational Journal of Intelligent Systems, published by Wiley-Hindawi, stands at the forefront of the Artificial Intelligence, Human-Computer Interaction, Software, and Theoretical Computer Science fields. With an impressive Q1 ranking across multiple categories in 2023 and a robust track record since its inception in 1986, this journal is essential for researchers, professionals, and students alike who are eager to explore cutting-edge innovations and theoretical advancements. Located in the United Kingdom, the journal operates under the esteemed Wiley-Hindawi publishing house, ensuring a broad dissemination of high-quality research articles. The journal's diverse scope encompasses advancements in intelligent systems and their practical applications, fostering an interdisciplinary dialogue that encourages collaboration across various domains. Although Open Access options are not available, subscribers benefit from the rich repository of knowledge this journal offers, making it a vital resource in the rapidly evolving landscape of intelligent technologies.
NETWORK-COMPUTATION IN NEURAL SYSTEMS
Decoding Neural Dynamics Through Innovative ResearchNETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.
Intelligent Decision Technologies-Netherlands
Unveiling the Potential of Intelligent Systems for Tomorrow.Intelligent Decision Technologies-Netherlands, published by IOS PRESS, is an emerging journal dedicated to the dynamic fields of Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Established in 2007 and continuing through 2024, this journal aims to foster interdisciplinary research and innovation by providing a platform for cutting-edge studies and applications of intelligent systems. While its current impact factor reflects a growing influence within the scientific community, with quartile rankings ranging from Q3 to Q4 in various pertinent disciplines, Intelligent Decision Technologies plays a pivotal role in shaping future research directions. Although the journal does not offer open access, it remains accessible across academic institutions, encouraging researchers, professionals, and students to contribute to and engage with the latest advancements in decision technologies. With a commitment to quality and relevance, this journal seeks to advance knowledge and enhance the understanding of intelligent systems in today's rapidly evolving technological landscape.