Aims & Scope
Overview
The American Journal of Computer Science & AI (AJCSAI) aims to advance research and development in artificial intelligence, data science, and computational methodologies. The journal provides a platform for scientists, engineers, and industry professionals to present and discuss novel AI-driven solutions, emerging computational models, and the latest innovations in computer science.
Key Areas Of Focus
- Artificial Intelligence & Cognitive Computing
- Machine Learning & Deep Learning Architectures
- Explainable AI (XAI) & Trustworthy AI
- Natural Language Processing (NLP) & Speech Recognition
- Computer Vision, Image & Video Processing
- Data Science, Big Data Analytics & Predictive Modeling
- Blockchain Technologies, Cryptography & Secure Computing
- Cloud Computing, Edge Computing & AI-driven IoT
- Cybersecurity, AI Ethics & Fairness
- Quantum Computing & Neuromorphic Computing
- Human-Computer Interaction (HCI) & Augmented Reality
- Autonomous Systems, Drones & Robotics
- Reinforcement Learning & AI-driven Decision Making
- AI Applications in Healthcare, Finance, Smart Cities & Education
Objectives
- To publish high-quality research that advances the field of AI and computational sciences.
- To promote interdisciplinary collaboration in AI-driven innovations for solving real-world challenges.
- To facilitate open access to pioneering AI research for a global scientific audience.
- To ensure a rigorous and transparent peer-review process that maintains research integrity.
- To support AI ethics, fairness, and responsible AI development through high-impact research publications.
Open Access
Statement: All articles published in the American Journal of Computer Science & AI are permanently accessible online without restrictions. Our open-access model ensures global visibility and maximum impact for your research.
License: Articles are published under the Creative Commons Attribution License (CC BY 4.0), allowing unrestricted use, distribution, and reproduction with proper citation.
Major Topics And Keywords
- Artificial Intelligence (AI) & Cognitive Computing
- Machine Learning (ML) & Deep Learning
- Neural Networks & Explainable AI (XAI)
- Data Science, Big Data & Predictive Analytics
- NLP, Sentiment Analysis & AI-driven Chatbots
- Blockchain & AI-driven Cybersecurity
- Quantum Computing & Post-classical Computing Models
- Augmented Reality (AR), Virtual Reality (VR) & AI Interfaces
- Autonomous Vehicles, Drones & Robotics
- Smart Systems, IoT & AI in Industry 4.0
- AI in Finance, Healthcare & Smart Cities
- AI Ethics, Bias & Fairness in Machine Learning
- Edge Computing & Federated Learning
- Computational Neuroscience & Brain-Inspired AI