Artificial intelligence tools in complex monitoring systems1991

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

10.1109/IMTC.1991.161568

By means of artificial intelligence tools, which are relatively consolidated, such as fuzzy logic and representation of knowledge by means of frames, it is possible to solve a number of problems related to measurements and the first interpretation of behavior of particular systems.

Instrumentation and Measurement Technology Conference

– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.

– Artificial intelligence tools can solve problems in complex monitoring systems.
– The advantages and opportunities of using AI in water treatment systems are discussed.

– Artificial intelligence tools such as fuzzy logic and knowledge representation by frames can solve problems in complex monitoring systems.
– The paper provides an overview of the advantages and opportunities of using these tools in water treatment monitoring and control systems.

The paper discusses the use of artificial intelligence tools such as fuzzy logic and knowledge representation by frames to solve problems in complex monitoring systems.

– Artificial intelligence tools can solve problems in complex monitoring systems.
– These tools can be applied in water treatment for monitoring and control.

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.

– The paper discusses the application of stored programs in Artificial Intelligence.
– It focuses on production systems and their role in rule-based expert systems.