A Study on Integration of Deep Learning With IoT for Smart Engineering Solutions

The integration of Deep Learning with IoT technology is a significant advancement in the field of artificial intelligence. The chapter explores the integration of IoT architectures and deep learning frameworks, discussing important strategies for data collection, processing techniques, and deep learning model development, focusing on edge and cloud computing. The chapter showcases practical applications in smart engineering, including predictive maintenance, smart manufacturing, energy management, and environmental monitoring. Real-world case studies are presented to demonstrate the application of these technologies and address common challenges and solutions. The chapter predicts future trends in IoT and deep learning, highlighting emerging technologies and potential advancements in smart engineering, promising enhanced efficiency, predictive capabilities, and sustainability.