A review of Machine Learning techniques for breast cancer diagnosis in medical applications

P Tumuluru, CP Lakshmi, T Sahaja… - 2019 Third International …, 2019 - ieeexplore.ieee.org
During their life, among 8% of ladies are determined to have Breast cancer (BC), after Lung
Cancer. Breast cancer is the second predominant cause for the increasing fatal rate. Breast …

[PDF][PDF] GOA-based DBN: Grasshopper optimization algorithm-based deep belief neural networks for cancer classification

P Tumuluru, B Ravi - International Journal of Applied Engineering …, 2017 - academia.edu
Cancer is a dreadful disease in the world and it drains human life and hence, the accurate
identification of the disease is required in the early stages. The early detection causes the …

Twitter spam detection using naïve bayes classifier

KU Santoshi, SS Bhavya, YB Sri… - 2021 6th international …, 2021 - ieeexplore.ieee.org
Twitter is the well liked social media platform that has over 300 million monthly users which
post 500 million tweets per day. This is the main reason why spammers use Twitter for their …

[PDF][PDF] Deep learning and fuzzy rule-based hybrid fusion model for data classification

BL Ramani, P Poosapati, P Tumuluru… - International Journal of …, 2019 - academia.edu
Data mining is the promising field that attracted the industries to manage huge volumes of
data. The most effective and challenging techniques of data mining is data classification …

Lung nodule detection through CT scan images and DNN models

VVK Shukla, M Tanmisha, R Aluru… - 2021 6th …, 2021 - ieeexplore.ieee.org
This paper focuses on detecting the nodules present in the lung CT scan images. The
primary goal is to detect the lung cancer at the early stage. The step for detecting will follow …

Global Web Based Shopping from the Customers and Merchants View

B Venkateswarlu, B Revathi, DB Dasari… - … and Smart Systems …, 2021 - ieeexplore.ieee.org
Nowadays, every country has a market, and people could even shop at international stores
in their own neighbourhoods. Numerous components are based on the client's satisfaction …