Focus & Scope

Transactions on Intelligent Computing and Emerging Technologies (TICET)

TICET focuses on publishing high-quality research that advances intelligent computational systems and next-generation digital technologies. The journal promotes innovative theoretical contributions, experimental studies, frameworks, and real-world deployments that drive the evolution of intelligent and sustainable computing.

Core Research Domains

  • Artificial Intelligence & Machine Learning
  • Deep Learning & Neural Networks
  • Generative AI & Large Language Models (LLMs)
  • Data Science & Big Data Analytics
  • Computer Vision & Image Processing
  • Natural Language Processing (NLP)
  • Internet of Things (IoT) & Smart Systems
  • Robotics & Intelligent Automation
  • Cyber-Physical Systems (CPS)
  • Blockchain & Web3 Ecosystems
  • Quantum Computing & Quantum-Inspired Algorithms
  • Edge, Fog & Cloud Computing
  • Biomedical & Healthcare AI
  • Trustworthy, Explainable, Secure & Ethical AI
  • Smart Cities, Smart Environments & Sustainable Computing

Research Themes Encouraged

  • Interdisciplinary applications across science, engineering, and society
  • Hybrid and multi-modal intelligent systems
  • Data-centric and model-centric AI methodologies
  • Autonomous decision-making and adaptive systems
  • Energy-efficient and resource-aware computing
  • Scalable architectures for intelligent infrastructure
  • Ethical, inclusive, and human-centered AI design

Application Areas of Interest

  • Healthcare & biomedical systems
  • Transportation & autonomous mobility
  • Smart manufacturing & Industry 4.0
  • Cybersecurity & digital forensics
  • Education technology & smart learning
  • Finance & digital economy
  • Environmental monitoring & sustainability

Research Contribution Expectations

  • Novel methodologies or major improvements to existing approaches
  • Practical relevance supported by theoretical and/or experimental validation
  • Clear impact on scientific progress or industrial advancement