The Annals of Computer Science and Intelligence Systems (ACSIS) is a multidisciplinary, peer-reviewed, open-access journal dedicated to promoting high-quality research and innovation in the broad areas of computer science, artificial intelligence, and intelligent systems.
Aims
The primary aim of ACSIS is to advance scientific knowledge by publishing original, significant, and high-impact research that contributes to the understanding, development, and application of computational and intelligent technologies.
The journal seeks to:
- Provide an international platform for the exchange of innovative ideas and emerging trends in computer science and AI.
- Encourage collaboration between academia, research institutions, and industry.
- Support young researchers by offering an accessible and transparent publishing process.
- Promote open access to scientific information for the global research community.
- Uphold the highest standards of research ethics, peer review, and editorial quality.
ACSIS strives to deliver quality publishing services and guaranteed results by maintaining fairness, timeliness, and professionalism throughout the publication process.
Scope
ACSIS covers a wide spectrum of topics related to computer science, artificial intelligence, data systems, and emerging intelligent technologies.
The journal welcomes original research papers, review articles, technical notes, short communications, and case studies that explore theoretical foundations, innovative algorithms, experimental results, and real-world applications.
1. Artificial Intelligence (AI) and Machine Learning
- Deep learning, neural networks, and reinforcement learning
- Explainable AI, trustworthy AI, and AI safety
- Knowledge representation and reasoning
- Intelligent decision-making systems and cognitive computing
2. Data Science and Analytics
- Data mining, big data processing, and data warehousing
- Predictive analytics, information retrieval, and data visualization
- Data engineering and database management
- Statistical modeling and computational intelligence in data analysis
3. Software Engineering and Information Systems
- Software design, architecture, testing, and quality assurance
- Agile development, DevOps, and continuous integration
- Enterprise information systems and software project management
- Requirements engineering and human–computer collaboration
4. Computer Vision and Image Processing
- Image segmentation, pattern recognition, and 3D vision
- Object detection, tracking, and scene understanding
- Medical imaging, biometrics, and video analytics
- Visual computing for automation and robotics
5. Natural Language Processing (NLP)
- Text mining, semantic analysis, and sentiment detection
- Machine translation and speech recognition
- Chatbots, question answering systems, and conversational AI
- Computational linguistics and multilingual data processing
6. Internet of Things (IoT) and Cyber-Physical Systems
- Sensor networks, embedded systems, and real-time analytics
- Smart cities, smart grids, and intelligent transportation systems
- Edge and fog computing in IoT environments
- Security, scalability, and energy-efficient IoT architectures
7. Robotics and Automation
- Autonomous systems, mobile robots, and swarm intelligence
- Human–robot interaction and collaborative robots (cobots)
- Robotic perception, control, and navigation
- AI-driven industrial and service automation
8. Cloud, Edge, and Distributed Computing
- Virtualization, containerization, and cloud orchestration
- Edge computing architectures and resource optimization
- Distributed databases, fault tolerance, and system scalability
- Parallel and high-performance computing applications
9. Cybersecurity and Privacy
- Cryptography, network security, and intrusion detection
- Cyber defense, threat intelligence, and digital forensics
- Secure data storage, blockchain for security, and privacy-preserving computation
- Ethical hacking and risk assessment methodologies
10. Emerging and Intelligent Technologies
- Blockchain technology and decentralized systems
- Quantum computing and quantum information science
- Digital twins, metaverse, and simulation-based intelligence
- Intelligent decision support systems and smart automation
11. Human–Computer Interaction and Intelligent Interfaces
- Usability, accessibility, and interactive system design
- Emotion recognition and affective computing
- Virtual reality (VR), augmented reality (AR), and mixed reality (MR) applications
- Adaptive and personalized user experience systems
12. Computational Theory and Algorithms
- Algorithm design and analysis, optimization techniques
- Computational complexity and numerical methods
- Graph theory, combinatorial optimization, and computational geometry
- Theoretical foundations of artificial intelligence
Conclusion
ACSIS encourages submissions that cross disciplinary boundaries, blending computer science with data-driven intelligence, cognitive modeling, and emerging digital technologies.
By fostering academic excellence, innovation, and integrity, ACSIS continues to contribute to the growth of global scientific knowledge and to the advancement of smart, sustainable, and intelligent systems worldwide.