Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dimensional material MXene is widely used due to its unique sensing properties but has limitations in ...

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

Improve this page Add a description, image, and links to the machine-learning-in-wireless topic page so that developers can more easily learn about it. Curate this topic ...

Wireless sensor networks (WSNs) have become essential elements in the advancement of smart cities, enabling the collection and analysis of data in real time for a wide range of urban applications.

The integration of artificial intelligence (AI) with wireless sensor networks (WSN) has created several possibilities, making it a highly discussed topic in the technological realm and holds promise ...

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal ...

Image-based machine learning methods are becoming among the most widely-used forms of data analysis across science, technology, engineering, and industry. These methods are powerful because they can ...

Wireless Sensor Networks Key players Gaetano Borriello at U. Washington; Intel, Small embedded computers and communications protocols; Deborah Estrin at U. California, Los Angeles, Networking ...