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A sophisticated commonsense knowledgebase is essential for many intelligent system applications.
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In future many intelligent systems are integrated into complex distributed systems.
Decision trees are a critical component of many intelligent systems.
In systems such as ALEKS, and in many intelligent tutoring systems, items are problems or problem sets.
Many Intelligent Transport Systems (ITS) services that are nowadays performed with expensive infrastructure, like reliable traffic monitoring and car accident detection, can be enhanced and even entirely provided through this technology.
There were many intelligent irrigation systems (IISs) available and were used to compute crop water requirements based on climatic data.
Route prediction is an essential requirement for many intelligent transport systems (ITS) services like VANETS, traffic congestion estimation, resource prediction in grid computing etc.
These will include pervasive nanotechnologies to support remote neurological assessment systems, robotic neurosurgery, thought-controlled prosthetics, wear technologies with screening algorithms, neurocognitive testing linked to remote patient medical histories, and many other novel intelligent system applications in emergency medicine [61].
Though system performance is optimized by many different techniques, however, intelligent system design is an useful technique to optimize the efficiency of such systems.
(2016) proposed a multiagent system combining many intelligent techniques such as: multivariate control charts, neural networks, bayesian networks, and expert systems, for complex process monitoring tasks that are: detection, diagnosis, identification, and reconfiguration.
The intelligent system has many heuristic rules to implement the automation of the start-up procedures, like the opening of many on off valves while simultaneously monitoring process variables.
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