物联网和机器学习的最新进展：真实世界应用（True EPUB）

这本书涵盖了一个受到软计算发展显著影响的领域。随着越来越多的设备接入，物联网相关应用越来越受到关注，它们成为一些智能应用的潜在组件。
因此，一股全球性的热情已经在健康、农业、能源、安全和零售等各个领域引发。因此，在这本书中，主要目标是在一个地方捕捉物联网和机器学习的多方面性质。根据每章的贡献，本书还为物联网和机器学习研究提供了未来的方向。本书的目标是确定不同的问题，为这些确定的问题提出可行的解决方案，并使学术界和工业界的研究人员和从业人员能够就物联网和机器学习相关的新兴技术相互交流。在本书中，我们寻找新的章节，推荐新的方法、最新进展、系统架构和其他解决方案，以克服物联网和机器学习的局限性。
Recent Advances in Internet of Things and Machine Learning: Real-World Applications (True EPUB)
This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications.
Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

OR