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This paper explores the integration of machine learning (ML), the Internet of Things (IoT), and cloud computing and their combined role in revolutionizing smart homes. By providing real-time data collection, analysis, and decision-making capabilities, these technologies enhance comfort, security, and energy efficiency in home automation. The paper aims to evaluate the tangible impact of IoT, ML, and cloud computing on smart homes through the analysis of representative case studies, focusing on their practical implementation, benefits, challenges, and potential for future advancement. This study also highlights emerging research directions and opportunities, contributing insights for researchers, developers, and industry experts involved in smart home technology.

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Leveraging Machine Learning, IoT, and Cloud Computing for Smart Homes

  • 会议论文

  • 发表日期：

    2025年

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  • Ritu Ranjani Singh,
  • Sana Khan,
  • Shilpa Tripathi,
  • Princy Shrivastava

摘要

This paper explores the integration of machine learning (ML), the Internet of Things (IoT), and cloud computing and their combined role in revolutionizing smart homes. By providing real-time data collection, analysis, and decision-making capabilities, these technologies enhance comfort, security, and energy efficiency in home automation. The paper aims to evaluate the tangible impact of IoT, ML, and cloud computing on smart homes through the analysis of representative case studies, focusing on their practical implementation, benefits, challenges, and potential for future advancement. This study also highlights emerging research directions and opportunities, contributing insights for researchers, developers, and industry experts involved in smart home technology.