probability distribution
Predicting the location where a lost person could be found is crucial for
search and rescue operations with limited resources.
To improve the
precision and efficiency of these predictions,
simulated agents can be
created to emulate the behavior of the lost person.
Within this study,
we introduce an innovative agent-based model designed
to replicate diverse psychological profiles of lost persons,
allowing these agents to navigate real-world landscapes while making
decisions autonomously
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This dataset is used to design patent and many machines can be designed using this dataset.
This is a very important dataset to do breakthrough. One of the secrets behind invention is revealed in these datasets.
Part of this design, with manually done tabulated calculations were submitted as the proposal design (for innovation challenge) proposed by the author, in the small concept paper to Ministry of Railways, Govt. of India in the year 2017.
As the Excel files(using LibreOffice) are given, so no paper is written is for it.
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