AI is a broad, interdisciplinary research field that includes, but is not limited to, the following areas:
• Machine learning
• Computer science
The main aim of this study is to make machines act like humans. Returning to our main point: How can this artificial intelligence be used in sensors? The tools listed above require minimal computation effort and can easily be implemented with small or single systems.
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Further development of this tool will help create more complex sensor systems and applications. These systems can use techniques such as data retrieval, multi-agent systems, distributed systems.
Studies also show that the sensor system can be improved with the help of AI concepts. They can be used to solve many of the everyday problems that the human brain normally faces.
AI consists of a variety of modern technologies that machines can use to learn, make decisions, and display new behaviors. Using concept-based thinking can help machines learn from previous data and make decisions.
This type of approach is also known as predictive analysis, which is one of the most common ways to get data. If a problem occurs here, the machine compares the current situation with previously available information and selects the alternative that is closest to the problem.
They are best used when designing a specific sequence. Sometimes this may not be the case, but it can be very helpful with recurring problems. This approach is more or less similar to the case study approach used. Using AI in remote monitoring applications can help reduce errors and extend sensor life.