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The Journal of Artificial Intelligence and Information Technology publishes high-quality research and innovative studies in the fields of artificial intelligence (AI) and information technology (IT). This journal serves as a platform for researchers, academics, and professionals to share their latest findings, methodologies, and applications of AI in various industries and daily life. Scope of the Journal: The journal covers, but is not limited to, the following areas: Machine Learning & Deep Learning – Algorithms, models, and applications in AI-driven decision-making. Natural Language Processing (NLP) – Text analysis, sentiment detection, speech recognition, and conversational AI. Computer Vision & Pattern Recognition – Image and video processing, facial recognition, and object detection. Expert Systems & Decision Support – AI-based decision-making systems and automation. AI in Big Data & IoT – AI-driven data analytics, smart devices, and interconnected systems. Cybersecurity & AI – AI applications in network security, fraud detection, and threat analysis. Blockchain & AI Integration – Secure and intelligent distributed systems. Robotics & Automation – AI applications in autonomous systems, industrial automation, and smart robotics. AI Ethics & Regulations – Social, legal, and ethical implications of AI technologies. Information Technology Innovations – Emerging IT trends, cloud computing, and intelligent systems.