Deep Learning-Based Intelligent Sensing in IoT
V A Velvizhi, G. Senbagavalli, S. Malini · Advances in computational intelligence and robotics book series · 2022
The heart of Industry 4.0 is established by a new technology called the internet of things (IoT). Through the internet, the IoT makes it possible for machines and gadgets to share signals. Using artificial intelligence (AI) approaches to manage and regulate the communications between various equipment based on intelligent decisions is made possible by the internet of things (IoT) technology. Data collection devices can be fundamentally altered to “lock in” to the best sensing data with regard to a user-defined cost function or design constraint by utilizing inverse design and machine learning techniques. By allowing low-cost and small sensor implementations developed through iterative analysis of data-driven sensing outcomes, a new generation of intelligence sensing systems reduces the data load while significantly enhancing sensing capabilities. Machine learning-enabled computational sensors can encourage the development of widely distributed applications that leverage the internet of things to build robust sensing networks that have an influence across a variety of industries.