About the Journal

Cognitech Journal is a peer-reviewed academic journal dedicated to publishing high-quality, original research at the intersection of Information Technology, Intelligent Systems, Artificial Intelligence, and Data Science. The journal serves as a vital platform for researchers, academics, practitioners, and students to disseminate innovative findings, transformative ideas, and the latest advancements within these rapidly evolving fields.

Focus and Scope

Cognitech Journal welcomes manuscript submissions covering, but not limited to, the following topics:

1. Information Technology: Information system architectures, database management, cybersecurity, cloud computing, computer networks, software engineering, and IT applications across various sectors.
2. Intelligent Systems: Development and implementation of systems capable of exhibiting intelligent behavior, including expert systems, agent-based systems, and adaptive systems.
3. Artificial Intelligence (AI): Machine learning, deep learning, natural language processing (NLP), computer vision, robotics, fuzzy logic, and inference systems.
4. Data Science: Big data analytics, data mining, data visualization, computational statistics, and the application of data science in decision-making and pattern discovery.
5. Other Relevant Topics: AI-powered Internet of Things (IoT), edge computing, blockchain for intelligent applications, human-computer interaction in the context of intelligent systems, and ethics in AI and data science.