International Journal of Intelligent Systems Technologies and Applications - Inderscience | 2024 Cite Score:1.2 | Q4

Cite Score and Journal Rank of International Journal of Intelligent Systems Technologies and Applications

• About: The International Journal of Intelligent Systems Technologies and Applications focuses on the development and application of intelligent systems technologies. It publishes research on the design, implementation, and evaluation of intelligent systems and applications across various domains, including artificial intelligence, machine learning, and advanced computing.
• Objective
  The journal aims to advance the field of intelligent systems by publishing innovative research that addresses challenges and explores new technologies in intelligent systems. It seeks to provide a platform for researchers and practitioners to share their findings and insights on cutting-edge technologies and applications in intelligent systems.
• Topics Covered
  The journal covers a broad range of topics related to intelligent systems, including: Intelligent algorithms and computational models Machine learning and data mining Artificial intelligence applications and systems Smart systems and technologies Robotics and automation Decision support systems Knowledge representation and reasoning Human-computer interaction Cognitive computing and neural networks Intelligent data analysis and visualization Applications in various domains (e.g., healthcare, finance, industry, transportation)
• Interdisciplinary Approach
  The International Journal of Intelligent Systems Technologies and Applications adopts an interdisciplinary approach by integrating insights from computer science, artificial intelligence, engineering, cognitive science, and related fields. This approach promotes a comprehensive understanding of intelligent systems and their diverse applications.
• Impact and Significance
  The journal has a significant impact on the field by disseminating cutting-edge research and technological advancements in intelligent systems. It serves as a key resource for researchers, practitioners, and industry professionals interested in the latest developments and applications of intelligent technologies. The research published in the journal contributes to the advancement of intelligent systems and their practical implementations.
• Submission and Review Process
  The journal follows a rigorous peer-review process to ensure the quality and relevance of published research. Submissions are evaluated based on their novelty, methodological rigor, and contribution to the field of intelligent systems. Accepted papers are disseminated to advance knowledge and practice in intelligent systems technologies and applications.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Prof. Tao Wu

• Scope: International Journal of Intelligent Systems Technologies and Applications focuses on the latest advancements and research in intelligent systems, their technologies, and practical applications. The journal aims to provide a comprehensive platform for disseminating innovative solutions and technologies that enhance the efficiency and capabilities of intelligent systems across various domains.
• Intelligent Systems:
  Artificial Intelligence (AI): Research on AI techniques, including machine learning, deep learning, and reinforcement learning.
• Expert Systems: Studies on the design, development, and application of expert systems for decision-making and problem-solving.
• Fuzzy Systems: Exploration of fuzzy logic systems and their applications in handling uncertainty and imprecision.
• Neural Networks: Research on neural network architectures, algorithms, and their applications in various fields.
• Knowledge Representation: Studies on methods and models for representing and managing knowledge in intelligent systems.
• Technologies for Intelligent Systems:
  Data Mining and Analytics: Research on techniques for extracting useful information and patterns from large datasets.
• Big Data Technologies: Exploration of technologies and frameworks for managing and analyzing big data in intelligent systems.
• Cloud Computing: Studies on the use of cloud computing platforms for supporting and deploying intelligent systems.
• Internet of Things (IoT): Research on integrating IoT technologies with intelligent systems for enhanced data collection and processing.
• Edge Computing: Exploration of edge computing approaches for real-time processing and analysis in intelligent systems.
• Applications of Intelligent Systems:
  Healthcare: Studies on the application of intelligent systems in healthcare, including diagnostics, treatment planning, and patient monitoring.
• Finance: Research on the use of intelligent systems in financial analysis, fraud detection, and trading.
• Manufacturing: Exploration of intelligent systems in manufacturing processes, including automation, quality control, and supply chain management.
• Transportation: Studies on the application of intelligent systems in transportation systems, including autonomous vehicles and traffic management.
• Smart Cities: Research on the integration of intelligent systems in smart city infrastructure for improved urban living.
• Advanced Algorithms and Techniques:
  Optimization Algorithms: Research on algorithms for optimizing performance and efficiency in intelligent systems.
• Adaptive Systems: Studies on systems that can adapt to changing conditions and user requirements.
• Robustness and Reliability: Exploration of methods for ensuring the robustness and reliability of intelligent systems.
• Human-Computer Interaction (HCI): Research on improving interactions between humans and intelligent systems.
• Future Directions and Innovations:
  Emerging Trends: Studies on emerging trends and technologies in intelligent systems and their potential impact.
• Interdisciplinary Approaches: Exploration of interdisciplinary approaches that combine intelligent systems with other scientific and engineering fields.
• Ethical and Societal Implications: Research on the ethical and societal implications of deploying intelligent systems in various applications.
• Latest Research Topics for PhD in Machine Learning
• Latest Research Topics for PhD in Artificial Intelligence
• Latest Research Topics for PhD in Data Mining

• Print ISSN:  1740-8865

  Electronic ISSN:  1740-8873

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Computer Science,Computer Science (miscellaneous)

• Publication Frequency:  

• H Index:  21

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  

  Q4:  Computer Science (miscellaneous)

• Cite Score:  1.2

• SNIP:  0.393

• Journal Rank(SJR):  0.177

• Latest Articles:   Latest Articles in International Journal of Intelligent Systems Technologies and Applications

• Guidelines for Authors: International Journal of Intelligent Systems Technologies and Applications Author Guidelines

• Paper Submissions: Paper Submissions in International Journal of Intelligent Systems Technologies and Applications

• Publisher:  Inderscience Publishers

  Country:  Switzerland

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