REAL TIME WORK ETHICS
A Project on LIBRARY CONTROL AUTHENTICATION was developed for the Departmental Library of Dept. of CS&E, P.E.S. College of Engineering, Mandya. During the year 2017-2018 under the guidance of Dr. Nagarathna and T M Ragavendra Babu.
A project on BIOMEDICAL IMAGE SEGMENTATION USING CNN was developed using python along with machine learning concepts.
Abstract: A variety of DNN is applied in the segmentation of the medical images and has achieved acceptable performance. Unlike natural pictures, medical pictures of a similar imaging modality are characterized by a similar pattern that indicates the same traditional organs or tissues found at similar positions within the pictures. Thus, we tend to attempt to incorporate the previous information of medical pictures for correct segmentation into the structure of neural networks. Supporting this idea, we would like to propose a project paper on a deep network known as Segmentation and analysis of Lung organ using CNN. The segmentation operation is analyzed. Experiments validate our information assumption concerning the incorporation of previous information into the convolution kernels and to show that we have attained an affordable segmentation and a satisfactory accuracy.
A project on Blood bank and donor Management System was developed using mark-up Language(frontend), PHP(Backend), and MySQL(Database). This was developed in a team of three members.
Abstract:The main aim of this project was to build a bug-free application, where the existing application has its own drawbacks with respect to application automation and UI Features. To overcome all the drawbacks, we came up with the best application and awesome UI. This can be implemented for real-time usage.
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