Artificial Intelligence & Machine Learning
Deep learning, neural networks, reinforcement learning, NLP, computer vision, generative AI, expert systems, and cognitive computing.
GJOCAI focuses on the publication of original, authentic, and high-quality research in computer science, artificial intelligence, machine learning, data science, cybersecurity, software engineering, cloud computing, robotics, and emerging digital technologies.
GJOCAI welcomes submissions across the following ten subject areas.
Deep learning, neural networks, reinforcement learning, NLP, computer vision, generative AI, expert systems, and cognitive computing.
Data mining, predictive analytics, data visualization, large-scale data processing, business intelligence, and database technologies.
Network security, cryptography, malware analysis, ethical hacking, secure software development, and privacy-preserving computation.
Cloud architecture, edge computing, fog computing, distributed ledger technologies, blockchain, and virtualization.
IoT architecture, sensor networks, smart cities, industrial IoT, embedded systems, and IoT security.
Autonomous systems, human-robot interaction, robotic process automation (RPA), control systems, and drone technologies.
Agile methodologies, software testing, DevOps, software architecture, requirements engineering, and software maintenance.
User experience (UX), user interface (UI) design, usability engineering, augmented reality (AR), and virtual reality (VR).
Quantum algorithms, quantum cryptography, high-performance computing (HPC), and next-generation computing architectures.
CS education, AI ethics, algorithmic bias, digital divide, tech policy, and the societal impact of computing technologies.
A manuscript must make a clear contribution to computing, artificial intelligence, software engineering, or an allied discipline. Interdisciplinary papers may be considered when their connection with the journal's scope is adequately established.
If your work fits our aims, submit today. Manuscripts are evaluated through external double-blind peer review.