Conference Papers
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Item Critical Review on Heart Disease Prediction: A Machine Learning Approach(Institute of Electrical and Electronics Engineers Inc., 2023) Mahapatro, S.R.; Mahapatra, R.K.; Shet, N.S.V.; Prusty, S.B.; Satapathi, G.S.; Manjukiran, B.; Reddy, G.; Chandana, O.; Divya, N.; DImri, P.The heart is the second-most significant organ in the human body after the brain, which is the most significant organ. All of the body's organs are nourished and the blood is circulated. In the medical field, it might be difficult to anticipate the development of heart diseases. Data analytics is crucial for developing predictions based on new information, and it helps hospitals predict diseases. Every year, cardiovascular diseases account for more than 31 % of all fatalities globally. Different Machine learning algorithms are in this paper to predict heart disease. It presents a general overview of the previous work and offers insight into the current algorithm. © 2023 IEEE.Item 3D-Printing Technology: A Review(Institute of Electrical and Electronics Engineers Inc., 2024) Mahapatra, R.K.; Kaliyath, Y.; Shet, N.S.V.; Satapathi, G.S.; Mahapatro, S.R.; Lakshmu Naidu, M.L.The process of digital fabrication, commonly known as 3D printing, involves gradually adding materials to a geometric representation to produce actual items. The advantages of 3D printing for industrial use include little material waste, simple manufacturing, minimal human participation, minimal post-processing, and energy efficiency. In this study, we provide insights on the development of 3D printing, its history, current state, uses, and potential future directions. There is a detailed explanation of various materials that work with each sort of 3D printing procedure. © 2024 IEEE.