Abstract When performing an image analysis pipeline, a programming language like Python is mainly used for two distinctive applications: (1) the of acquired images, such as background removal, noise reduction, object segmentation, measurements biological structures and events, etc. (2) data obtained result analysis, calculating histogram from noise-removed or statistics on shape segmented object.

nowadays, due to increasing the complexity of ic engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. in this paper four network base...

Biological data has more variation in type and format compared to other types of data. Thus, it poses new challenges. However, it encapsulates critical information; thus, handling it is of primary interest. Data handling includes storage and retrieval of data with associated formats and methods of data transfer, data format conversion, algorithms that run on the data and the output methods incl...