The Intelligent System Review
Frequency: Quarterly
Language: English
ISSN [E]: XXX-X
ISSN [P]: XXX-X
Publisher: Factum Research Institute
Scope
The Intelligent System Review (ISR) publishes high-quality, original research and review articles that advance knowledge in Artificial Intelligence (AI) and Computer Science. The journal encourages contributions that address theoretical foundations, methodological innovations, and practical applications across diverse domains.
Key areas within the journal’s scope include, but are not limited to:
- Artificial Intelligence & Machine Learning: supervised/unsupervised learning, reinforcement learning, deep learning, neural networks, generative models.
- Natural Language Processing (NLP): computational linguistics, speech recognition, language modeling, text mining, and conversational systems.
- Computer Vision & Pattern Recognition: image/video analysis, object detection, recognition, and visual computing.
- Data Science & Big Data Analytics: data mining, predictive analytics, scalable computing frameworks, and knowledge discovery.
- Robotics & Intelligent Systems: autonomous systems, human–robot interaction, and multi-agent systems.
- Computational Intelligence: fuzzy systems, evolutionary computing, swarm intelligence, and hybrid intelligent methods.
- Human–Computer Interaction (HCI) and Cognitive Computing.
- Cybersecurity & Privacy in AI: secure AI systems, adversarial learning, and data protection.
- Software Engineering & Systems: algorithms, programming languages, distributed and cloud computing, IoT, and edge computing.
- AI Applications: healthcare, education, finance, smart cities, transportation, agriculture, and industry 4.0.
The journal particularly values research that integrates interdisciplinary approaches, addresses real-world challenges, and contributes to the responsible and ethical use of AI and computer science technologies.
