Aims and Scope

Aims 

Algorithms, Data & Intelligent Systems (ADIS) Journal aims to publish high-quality and original research articles and reviews in the fields of algorithms, data science, artificial intelligence, and intelligent systems.
The journal provides a scientific platform for researchers, academicians, and practitioners to exchange knowledge, share innovations, and promote advancements in data-driven technologies and computational intelligence.

Scope

ADIS Journal covers, but is not limited to, the following topics:

1. Algorithms and Computational Methods

  • Design and analysis of algorithms
  • Optimization algorithms (metaheuristics, evolutionary, swarm intelligence)
  • Graph theory and combinatorial algorithms
  • Distributed and parallel algorithms
  • Algorithmic complexity and performance evaluation

2. Data Science and Big Data Analytics

  • Data preprocessing, feature engineering, and data fusion
  • Predictive analytics and statistical learning
  • Machine learning and deep learning applications
  • Big data architecture and frameworks
  • Data visualization, explainability, and interpretability

3. Artificial Intelligence and Intelligent Systems

  • Knowledge representation and reasoning
  • Natural language processing (NLP) and sentiment analysis
  • Computer vision and pattern recognition
  • Multi-agent systems and decision support
  • Cognitive computing and autonomous systems

4. Applied Intelligent Systems

  • Intelligent control and robotics
  • IoT (Internet of Things) and cyber-physical systems
  • Smart city, smart healthcare, and intelligent manufacturing
  • AI ethics, trust, and human–AI collaboration
  • Edge/fog computing and embedded intelligence

5. Theoretical and Emerging Trends

  • Quantum computing algorithms
  • Bio-inspired and neural computation
  • Explainable AI (XAI) and fairness in AI systems
  • AI for social good and sustainable development
  • Integration of algorithms, data, and human intelligence