… , the sensors will not work properly. By combining sensors with artificial intelligence, the …
The essential thing about artificial intelligence is to predict the “future”. For example, among …

… The majority of these technologies employ next-generation distributed sensors and vision-based
artificial intelligence (AI) methodologies to evaluate, classify and localize pavement …

… by a wide range of different types of sensors based on artificial intelligence (AI). These smart
AI-based sensors are typically characterized by onboard intelligence and have the ability to …

The increasing demand of smart agriculture has led to the significant growth and development
in the field of crop estimation and prediction improving its productivity. The analysis of …

… sensors for the benefit of patients and processing large, multimodal datasets with new Artificial
Intelligence (… non-invasive sensors along with different strategies for machine learning to …

… of artificial intelligence and that of smart sensing. Smart Sensing and, more generally, Smart
… In this kind of applications, smart sensors are spread into the environment of interest where …

… A section on smart technologies as defined in this review paper is included in Section 3.2,
which are considered the Internet of Things, smart sensors, and systems based on these …

… sensors, promising an avenue toward intelligent … smart flexible sensing driven by brain-inspired
AI innovations from both the algorithm (machine learning) and the framework (artificial …

… of Smart Cities highly encourages this prospect by promoting the incorporation of sensors
and … While Big Data processing through Artificial Intelligence (AI) can greatly contribute to the …

… Smart Sensing and efficient data transmission in underwater sensors are used in trending
IoT applications. Smart Sensing in the underwater system can discover the sea, and …