Aims

Journal of Intelligent Systems and Control (JISC) is a groundbreaking open-access journal dedicated to exploring the frontiers of intelligent systems and system control. Its mission is to foster innovative research and deepen understanding in the operation and control of diverse systems ranging from economics to engineering, management, and technology. JISC welcomes a variety of original submissions, including reviews, research papers, short communications, and special issues focusing on novel theories and practical advancements that enhance system performance and control.

JISC's objective is to provide a platform for detailed theoretical and experimental research, with no limits on paper length, ensuring comprehensive communication and reproducibility of results. Unique features of JISC include:

• Every publication benefits from prominent indexing, ensuring widespread recognition.

• A distinguished editorial team upholds unparalleled quality and broad appeal.

• Seamless online discoverability of each article maximizes its global reach.

• An author-centric and transparent publication process enhances submission experience.

Scope

JISC covers a broad spectrum of topics, setting it apart from similar journals by its comprehensive approach:

• Artificial Intelligence in Systems: Delving into the development and application of AI across various systems, exploring its impact on efficiency and innovation.

• AI-Powered Internet of Things (IoT): Investigating how AI enhances IoT devices and networks, with a focus on smart systems integration and real-time data analysis.

• Robotics Enhanced by AI: Examining the integration of AI in robotics, including autonomous systems, machine learning algorithms for robotics, and AI's role in robotic advancements.

• Artificial Neural Networks (ANNs): In-depth studies on the design, implementation, and application of ANNs in simulating human decision-making processes.

• Computer Vision and Pattern Recognition: Research on advanced techniques in computer vision, image recognition, and pattern analysis using AI.

• Data Mining and Big Data Processing: Analyzing how AI-driven data mining and big data processing techniques transform information management and decision-making.

• Advancements in Deep Learning and Machine Learning: Exploring cutting-edge developments in deep learning and machine learning, focusing on their applications in complex system analysis and prediction.

• Learning Methodologies: Detailed examination of various AI learning methodologies, including supervised, semi-supervised, and unsupervised learning, and their applications.

• Human-Centric AI Computing: Studies on the interaction between humans and AI systems, including human-computer interaction (HCI), human-robot interaction (HRI), and the implications for user experience and system design.

• Social and Affective Computing: Exploring the impact of AI on social computing, including emotional recognition, sentiment analysis, and AI's role in social media and communication platforms.

• Image and Video Processing Techniques: Advanced research in AI-driven image and video processing, analysis, and interpretation.

• Development of Multi-Agent Systems: Investigations into the creation and management of multi-agent systems, focusing on coordination, cooperation, and competition among intelligent agents.

• Intelligent Information Systems: Insight into the design and application of intelligent systems for information retrieval, processing, and management.

• Control Theory and System Control Applications: Detailed exploration of modern control theories, including linear and nonlinear control, and their practical applications in various industries.

• Innovations in Robotics and Automation: Studies on the latest trends in robotics and automation, including the integration of AI and IoT in automated systems.

• Ethical and Social Implications of Intelligent Systems: Addressing the ethical, legal, and social implications of AI and intelligent system deployment in various sectors.