To make human life easy and compact, XAI has developed a lot with more innovations and contributed its own share. To make a suitable treatment while diagnosed with brain tumour, one needs to classify the tumour and detect it in a proper way where the explained result is most important. With the help of different analysis processes where marker-based approaches can help in proper segmentation and noise reduction analysis, numerous imaging modalities exist for tumour detection that are utilized to identify tumours in the brain. One of the most important issues of XAI system is medical diagnosis through ML in medical image processing. In this chapter, the authors present a modified marker-controlled watershed transformation approach to detect brain tumour with XAI and machine learning approaches. They include CNN and data augmentation algorithms. Image pre-processing takes the main area to detect and diagnose disease and diagnose properly. The statistical measurements have been introduced to get the mathematical abstractions of different approaches for result analysis.

Subsequent to tremendous prominence and development of cell innovation, 5G network is being considered as a focal area for future correspondence design. 5G will be supporting a great many existing gadgets without satisfactory inherent security, just as new gadgets whose outrageous processing force will make them appealing focuses for programmers. 5G will relate normal structures that will require greater security to undertake well-being of the basic foundation as well as security of the general public all in all. Here, a portion of the identified security problems of 5G networks is being discussed. The majority of the data depends on writing survey and reports distributed by unmistakable media transmission giants and different books part. Subsequently, this article edifies its per users on what is anticipated from 5G network and what are the fundamental security and protection issues in accomplishing those objectives.

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The traditional teaching mode of the digital image processing, which is centered on teachers, textbooks and classrooms, hinders the requirements of the image technology development and impedes the cultivation of the innovative talents. Though the digital image processing is one of the emerging technologies, it has been rapidly developed and widely used in the electronic information technology. In order to adapt to its development, this paper has explored the teaching and practice reform on the digital image processing by different color mode and to improve the understanding of students as well as teacher by clustered image which will enhance the core idea of a particular image by exploring all the colors present in every part of image. Students can better gain their knowledge skill by observing those images in colored clustered form.

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