The International Journal of Knowledge-Based and Intelligent Engineering Systems publishes original research articles, reviews, and case studies on topics such as expert systems, fuzzy logic, neural networks, machine learning, artificial intelligence, and intelligent systems engineering. The journal covers both the theoretical aspects and practical applications of knowledge-based and intelligent engineering systems in various domains.
Objective
The primary objective of the journal is to promote research and innovation in the field of intelligent engineering systems by providing a forum for high-quality research. The journal aims to facilitate the exchange of ideas and foster collaboration among researchers, engineers, and professionals to advance the development of knowledge-based and intelligent systems.
Interdisciplinary Approach
International Journal of Knowledge-Based and Intelligent Engineering Systems adopts an interdisciplinary approach, recognizing that advancements in intelligent systems often require insights from fields such as computer science, engineering, information systems, and artificial intelligence. The journal encourages research that integrates these perspectives to address complex problems and develop innovative solutions in intelligent engineering.
Impact and Significance
The journal has a significant impact on the field of intelligent engineering systems by providing a valuable resource for understanding the latest developments and trends. Its influence is reflected in its ability to shape research directions, drive technological advancements, and contribute to the practical implementation of intelligent systems in various industries.
Journal Home:  Journal Homepage
Editor-in-Chief:  Robert J.Howlett
scope:
The International Journal of Knowledge-Based and Intelligent Engineering Systems focuses on the integration of knowledge-based systems with intelligent engineering practices. It covers a broad spectrum of topics related to the design, development, and application of intelligent systems that leverage knowledge-based approaches in various engineering fields.
Knowledge-Based Systems:
Theories and methodologies in knowledge representation and reasoning
Design and implementation of expert systems
Knowledge management and knowledge discovery
Ontologies and semantic technologies in engineering systems
Case studies of knowledge-based systems in practical applications
Intelligent Engineering Systems:
Development of intelligent algorithms for engineering applications
Use of artificial intelligence in engineering design and optimization
Intelligent control systems and automation
Machine learning and data-driven approaches in engineering
Applications of intelligent systems in industries such as manufacturing, aerospace, and healthcare
Integration of Knowledge-Based and Intelligent Systems:
Approaches to integrating knowledge-based methods with intelligent systems
Hybrid systems combining rule-based reasoning with machine learning
Adaptive systems and real-time decision support
Challenges and solutions in the integration of intelligent technologies
Practical implementations and case studies of integrated systems
Applications and Case Studies:
Application of knowledge-based and intelligent systems in various engineering disciplines
Real-world case studies demonstrating system performance and impact
Innovations in intelligent engineering for complex problem-solving
Use of intelligent systems in enhancing engineering processes and outcomes
Evaluation of system effectiveness and lessons learned from implementations
Emerging Trends and Research Directions:
Emerging trends in knowledge-based and intelligent engineering systems
Predictions for future developments and technological advancements
Research opportunities and challenges in integrating AI with engineering systems
Future outlook on the evolution of intelligent systems in engineering
Directions for future research and innovation in the field
Print ISSN:  1327-2314
Electronic ISSN:  1875-8827
Abstracting and Indexing:  Scopus
Imapct Factor :  
Subject Area and Category:  Computer Science, Artificial Intelligence, Software, Engineering, Control and Systems Engineering
Publication Frequency:  
H Index:  23
Q1:  
Q2:  
Q3:  Control and Systems Engineering
Q4:  
Cite Score:  2.1
SNIP:  0.544
Journal Rank(SJR):  0.267
Latest Articles:   Latest Articles in International Journal of Knowledge-Based and Intelligent Engineering Systems
Guidelines for Authors: International Journal of Knowledge-Based and Intelligent Engineering Systems Author Guidelines
Publisher:  IOS Press
Country:  Netherlands