APPLIED INTELLIGENCE

Scope & Guideline

Transforming ideas into impactful AI applications.

Introduction

Explore the comprehensive scope of APPLIED INTELLIGENCE through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore APPLIED INTELLIGENCE in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0924-669x
PublisherSPRINGER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1991 to 2024
AbbreviationAPPL INTELL / Appl. Intell.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

Aims and Scopes

The journal 'Applied Intelligence' primarily focuses on the application of artificial intelligence and machine learning techniques across various domains, addressing both theoretical aspects and practical implementations. It emphasizes innovative methodologies, interdisciplinary approaches, and the development of intelligent systems that can effectively solve real-world problems.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Human-Computer Interaction:
    The journal explores how AI can enhance human-computer interaction, focusing on user experience, adaptive interfaces, and personalized systems.
  6. 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.
The journal has recently seen a rise in research themes that align with current trends in technology and societal needs. These emerging scopes reflect the evolving landscape of artificial intelligence research and its applications.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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

Over recent years, certain traditional research areas within 'Applied Intelligence' have seen a decline in focus, possibly due to the emergence of newer methodologies and technologies. These waning themes reflect shifts in researcher interest and the evolution of the field.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

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