Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Avijit Kumar Chaudhuri"'
Autor:
Arkadip Ray, Avijit Kumar Chaudhuri
Publikováno v:
Machine Learning with Applications, Vol 3, Iss , Pp 100011- (2021)
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a large quantity of data. Many robust early detection services and other health-related technologies have developed from clinical and diagnostic evidence in both t
Externí odkaz:
https://doaj.org/article/ab597e841fc0494c8f05e0af07de4884
Publikováno v:
International Research Journal on Advanced Science Hub. 5:103-110
Autor:
null Saheb karan, null Abhik Roy Chowdhury, null Amit Pal, null Susmita Das, null Sulekha Das, null Avijit Kumar Chaudhuri
Publikováno v:
international journal of engineering technology and management sciences. 7:133-142
Breast cancer is the most frequently occurring cancer disease in women. It is reported almost 14% of cancers in Indian women are breast cancer. It becomes very crucial to predict breast cancer earlier to minimize the deaths. This research article hel
Autor:
null Gourab Karak, null Kishalay Ghosh, null Nur Muktada Hasan Ansari, null Sulekha Das, null Avijit Kumar Chaudhuri
Publikováno v:
international journal of engineering technology and management sciences. 7:38-46
Suicide is nowadays a crucial public health issue. In various communities, people are much more affected by this severe tendency. Nowadays, suicide connects to mental illness. Along with depression, drug misuse is an equally important risk factor. Al
Autor:
null Ankur Kumar, null Soumayadip Saha, null Joyitree Mondal, null Animesh Mitra, null Avijit Kumar Chaudhuri
Publikováno v:
international journal of engineering technology and management sciences. 7:195-209
For a happy and healthy life, a happy married life is very much essential. But nowadays, divorce cases are increasing rapidly day by day. According to a study, the divorce rate worldwide was 4.08% per 1000 married people in May 2022. For this reason,
Autor:
null Debanjan Paul, null Mayurima Sarkar, null Avijit Kumar Chaudhuri, null Sulekha Das, null Moumita Chakraborty
Publikováno v:
international journal of engineering technology and management sciences. 7:302-308
COVID-19, a contagious disease which resulted in a worldwide pandemic just like “The Great Plague of Marseille” in 1720, “The First Cholera Pandemic” in 1820, and “The Spanish Flu” in 1920, claimed many lives. In December 2019 this diseas
Autor:
null Koushik Paul, null Sayandeep Paik, null Siddhartha Kuri, null Soumyadip Majumder, null Avijit Kumar Chaudhuri
Publikováno v:
international journal of engineering technology and management sciences. 7:75-86
The internet is no doubt the biggest and the most important tool of modern civilisation. But along with its numerous benefits, it also comes with its own set of risks, the most important of them being breaches in security and privacy. An anomaly-base
Autor:
null Dip Das, null Arnam Ghosh, null Aishik Banerjee, null Sulekha Das, null Avijit Kumar Chaudhuri
Publikováno v:
international journal of engineering technology and management sciences. 7:47-55
Blood pressure (BP) is the pressure of circulating blood against the walls of blood vessels. Cholesterol is any of a class of certain organic particles called lipids [1]. High blood pressure along with high cholesterol are two of the main causes of h
Autor:
null Shah Alam, null Bhaskar Bakshi, null Rupjit Maity, null Sulekha Das, null Avijit Kumar Chaudhuri
Publikováno v:
international journal of engineering technology and management sciences. 7:210-221
The correct prediction of heart disease can prevent life threats, and incorrect prediction can prove to be fatal at the same time. In this paper machine learning algorithm is applied to compare the results and analysis of primary dataset. The dataset
Autor:
null Rajdeep Dey, null Sayantika Bose, null Nandini Ghosh, null Shamba Chakraborty, null Avijit Kumar Chaudhuri, null Sulekha Das
Publikováno v:
international journal of engineering technology and management sciences. 7:254-270
Machine Learning (ML) is a specific type of artificial intelligence that allows systems to learn from data and detect patterns without much human intervention. As technology expands, machine learning provides an exciting opportunity in the health sec