$GTCH GBT’s research is aiming to potentially investigate human organs imaging using Kirlian techniques, analyzing the data as a potential of health-related information source through PNN methods and algorithms for image’s density analysis and to identify unique region’s characteristics. The goal is to develop techniques that will potentially identify regions of interest within images, compute distances and train the PNN about the object’s energy traits. The approach aims to achieve fast image’s multilayer perception, deciding if a certain pattern belongs to a specific class, and categorize it as a potential health related topic.
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