Focus And Scope

The Ascendium Journal of Intelligent Computing and Engineering (AJICE) is an open-access, peer-reviewed scientific journal dedicated to publishing high-quality original research, review articles, and case studies that advance the theory and practice at the intersection of Intelligent Computing and Engineering Disciplines. AJICE's primary goal is to serve as a global forum for sharing innovations and applications of artificial intelligence technologies in solving real-world engineering problems.

The journal specifically focuses on:

  1. Development of Novel Methodologies: The creation of innovative intelligent computing models, algorithms, and frameworks.

  2. Cross-Disciplinary Applications: The application of intelligent technologies across various engineering fields (electrical, mechanical, civil, industrial, biomedical, etc.).

  3. Integration of AI and Physical Systems: Research on cyber-physical systems, robotics, and intelligent automation.

AJICE welcomes contributions covering (but not limited to) the following topics:

I. Intelligent Computing & Artificial Intelligence (AI)

  • Machine Learning (ML): Reinforcement Learning, Supervised/Unsupervised Learning, Transfer Learning, AutoML, and ensemble methods.

  • Deep Learning (DL): Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and other deep learning architectures.

  • Evolutionary Computation & Optimization: Genetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization (PSO), and other intelligent metaheuristics.

  • Expert Systems & Cognitive Computing: Development of intelligent decision-making systems and Natural Language Processing (NLP) for engineering purposes.

  • Data Science for Engineering: Big Data Analytics, Data Mining, and data visualization within engineering contexts.

II. Engineering Applications

  • Electrical & Electronics Engineering: Load forecasting, Smart Grids management, AI-optimized circuit design, and renewable energy systems.

  • Mechanical Engineering & Automation: Predictive Maintenance, machine vision-based quality control, industrial robotics, and intelligent simulations.

  • Civil Engineering & Infrastructure: Structural Health Monitoring, Smart City planning, and AI-based Building Information Modeling (BIM).

  • Manufacturing & Industrial Engineering: Smart Manufacturing, Industrial Internet of Things (IIoT), intelligent Supply Chain Optimization, and intelligent process control.

  • Biomedical Engineering & Digital Health: Computer-Aided Diagnosis (CAD), medical image processing, smart wearable devices, and surgical robotics.

  • Intelligent Control Systems: Design of adaptive controllers, non-linear control, and Fuzzy Logic-based control systems.

III. Related Systems & Technologies

  • Internet of Things (IoT) & Intelligent Edge Computing: Smart data processing on edge devices and smart sensor development.

  • Intelligent Cybersecurity: AI-driven anomaly detection and attack mitigation within engineering systems.

  • Parallel & Distributed Computing for AI: Enhancing computational efficiency for large-scale AI models.