About the Journal
About the Journal
EJSIR Journal of Advances and Applications in Computing, Data Science and Intelligent Systems, published by EJSIR Publisher, is a scholarly journal for research whose main contribution advances computing, data science or intelligent systems.
Journal focus: Rigorous computing research with clear, evidence-based applications.
Aims and Scope
The journal considers theoretical, methodological, systems-oriented and applied research when the computing contribution is central and clearly explained. Submissions should state the research question and technical contribution, describe suitable methods, and support their conclusions with evidence appropriate to the claims. Interdisciplinary work is welcome when computing, data science or intelligent systems form a substantive part of the contribution.
Journal Sections and Acceptable Research Topics
Select the section that best represents the manuscript's primary scholarly contribution. The topics below define the journal's 13 submission sections and guide author selection, editorial assignment, and peer-review routing.
Artificial Intelligence & Machine Learning
- Machine Learning Algorithms
- Deep Learning and Neural Networks
- Reinforcement Learning
- Federated and Distributed Learning
- Explainable and Trustworthy AI
- Transfer Learning and Meta-Learning
- AI-Based Decision Support Systems
- Multimodal Artificial Intelligence
Computer Vision & Pattern Recognition
- Image Classification and Object Detection
- Image Segmentation and Recognition
- Video Understanding and Analysis
- Medical Image Processing Using AI
- Remote Sensing Image Analysis
- 3D Computer Vision and Reconstruction
- Vision Transformers
- Multimodal Visual Recognition
Natural Language Processing & Generative AI
- Natural Language Understanding
- Large Language Models
- Generative Artificial Intelligence
- Machine Translation
- Text Classification and Summarization
- Information Extraction
- Retrieval-Augmented Generation
- Language Model Evaluation and Safety
Software Engineering
- Software Development Methodologies
- Software Testing and Verification
- Software Reliability and Quality
- Automated Program Repair
- AI-Assisted Software Engineering
- Software Architecture and Design
- DevOps and Continuous Integration
- Program Analysis and Optimization
Algorithms & Theory of Computing
- Algorithm Design and Analysis
- Computational Complexity
- Graph Algorithms
- Optimization Algorithms
- Data Structures
- Randomized and Approximation Algorithms
- Formal Methods and Verification
- Quantum Computing Algorithms
Computer Architecture & Operating Systems
- Advanced Computer Architecture
- Operating System Design
- Parallel and High-Performance Computing
- Memory and Storage Management
- Energy-Efficient Computing
- GPU and Heterogeneous Computing
- Virtualization Technologies
- Computer System Performance Optimization
Databases & Information Management
- Database Management Systems
- Big Data Storage and Processing
- Data Integration and Transformation
- Distributed Databases
- Knowledge Graphs
- Data Quality and Governance
- Information Retrieval Systems
- Database Query Optimization
Networks, Cloud & Distributed Computing
- Computer Networks and Protocols
- Cloud Computing Architecture
- Distributed Computing Systems
- Edge and Fog Computing
- Network Performance Optimization
- Software-Defined Networking
- Distributed System Reliability
- Cloud Resource Scheduling
Cybersecurity & Privacy
- Network and System Security
- AI-Based Intrusion Detection
- Privacy-Preserving Machine Learning
- Applied Cryptography
- Blockchain Security
- Secure Distributed Systems
- Malware Detection and Analysis
- Security and Privacy Risk Assessment
Human–Computer Interaction
- Human–Computer Interaction
- User Interface and Experience Research
- Human-Centered AI
- Accessible Computing
- Intelligent User Interfaces
- Interactive Visualization
- Human–AI Collaboration
- Usability Evaluation
IoT, Edge & Embedded Computing
- Internet of Things
- Intelligent IoT Applications
- Edge AI and TinyML
- Embedded Software Systems
- IoT Security
- Distributed Sensor Data Analytics
- Real-Time Edge Computing
- Smart Computing Infrastructure
Data Science & Intelligent Computing
- Data Mining and Knowledge Discovery
- Predictive Analytics
- Time-Series Forecasting
- Intelligent Data Analytics
- Big Data Analytics
- Computational Decision Support
- Anomaly Detection
- Data-Driven Optimization
Mathematical Foundations & Computational Methods
- Applied and Computational Mathematics
- Numerical Analysis and Scientific Computing
- Mathematical Modeling and Simulation
- Mathematical Optimization
- Computational Statistics
- Mathematical Foundations of AI and Data Science
This section welcomes original research on mathematical foundations, numerical and computational methods, modeling, simulation, optimization, and computational statistics that contribute to the advancement of computing, data science, artificial intelligence, and intelligent systems. Submissions should demonstrate clear computational, methodological, or application-oriented relevance to the journal's scope.
Methods and evidence
Evaluation should match the research question and the type of contribution. Depending on the work, suitable evidence may include formal analysis, experiments, benchmark comparisons, system validation or user evaluation. Authors should explain relevant data, measures, baselines, assumptions and limitations so readers can assess how the findings were produced and what they support. No single method, dataset or public-code requirement applies to every topic.
Scope boundaries
A manuscript is a stronger fit when computing, data science or intelligent systems are central to its question and contribution. Work where computing is incidental, or whose primary contribution belongs to another discipline or a separate EJSIR journal, may be a better fit elsewhere.
