Journals

• Transactions on Machine Learning, Artificial Intelligence, and Advanced Intelligent Systems

  Transactions on Machine Learning, Artificial Intelligence, and Advanced Intelligent Systems (TMLAI-AIS) aims to be a premier platform for publishing high-quality research in the fields of machine learning, artificial intelligence (AI), and advanced intelligent systems. The journal focuses on theoretical developments, novel algorithms, and real-world applications across various domains, including deep learning, reinforcement learning, neural networks, natural language processing, robotics, computer vision, and autonomous systems. It encourages interdisciplinary research that explores AI-driven solutions for complex problems, fostering innovation and collaboration between academia and industry to advance the frontiers of intelligent computing and decision-making.

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• Journal of Big Data Processing, Stream Analytics, and Real-Time Insights

  Journal of Big Data Processing, Stream Analytics, and Real-Time Insights (JBDSARI) aims to provide a high-impact platform for researchers, data scientists, and industry professionals to publish cutting-edge research in big data processing, real-time analytics, and streaming data insights. The journal covers advancements in large-scale data management, distributed computing, real-time data mining, AI-driven analytics, edge computing, and cloud-based big data architectures. It emphasizes novel methodologies, frameworks, and applications that enable organizations to process, analyze, and derive actionable insights from massive and dynamic data streams, driving innovation in fields such as finance, healthcare, IoT, smart cities, and cybersecurity.

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