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    Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis

    Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …

    Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article

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