Breast cancer is the most frequent type of cancer in women; however, early identification has reduced the mortality rate associated with the condition. Studies have demonstrated that the earlier this sickness is detected by mammography, the lower the death rate. Breast mammography is a critical technique in the early identification of breast cancer since it can detect abnormalities in the breast months or years before a patient is aware of the presence of such abnormalities. Mammography is a type of breast scanning used in medical imaging that involves using x-rays to image the breasts. It is a method that produces high-resolution digital pictures of the breasts known as mammography. Immediately following the capture of digital images and transmission of those images to a piece of high-tech digital mammography equipment, our radiologists evaluate the photos to establish the specific position and degree of the sickness in the breast. When compared to the many classifiers typically used in the literature, the suggested Multiclass Support Vector Machine (MSVM) approach produces promising results, according to the authors. This method may pave the way for developing more advanced statistical characteristics based on most cancer prognostic models shortly. It is demonstrated in this paper that the suggested 2C algorithm with MSVM outperforms a decision tree model in terms of accuracy, which follows prior findings. According to our findings, new screening mammography technologies can increase the accuracy and accessibility of screening mammography around the world.
We use social networking sites to stay connected with others. Social networking sites provide online platform to build social networks or social relations with other people who share similar personal or career interests, activities or backgrounds. We often want to connect withpeoplewith certain characteristics such as "People belonging to a particular school, college or working in a certain organization" butthe present Social Networking sites do not support such feature. We can only connect with a person who we know by name. Here we present a method to represent and process social network profile information so that we can search people on a social network by querying in English Language. In this paper, we present our work in building a system for translating English sentences into SQL queries for a database system. INTRODUCTION A R T I C L E I N F O A B S T R A C TWe use social networking sites to stay connected with others. Social networking sites provide online platform to build social networks or social relations with other people who share similar personal or career interests, activities or backgrounds. We often want to connect withpeoplewith certain characteristics such as "People belonging to a particular school, college or working in a certain organization" butthe present Social Networking sites do not support such feature. We can only connect with a person who we know by name.Here we present a method to represent and process social network profile information so that we can search people on a social network by querying in English Language. In this paper, we present our work in building a system for translating English sentences into SQL queries for a database system. INTRODUCTION Assistant Professors in Computer Science Department who go to BIT MesraAll of these results are not as expected by the user. In this work we want to add a search option in the social networking sites where we can find people based on their characteristics. International Journal of Current Advanced Research A R T I C L E I N F O A B S T R A C TWe use social networking sites to stay connected with others. Social networking sites provide online platform to build social networks or social relations with other people who share similar personal or career interests, activities or backgrounds. We often want to connect withpeoplewith certain characteristics such as "People belonging to a particular school, college or working in a certain organization" butthe present Social Networking sites do not support such feature. We can only connect with a person who we know by name.Here we present a method to represent and process social network profile information so that we can search people on a social network by querying in English Language. In this paper, we present our work in building a system for translating English sentences into SQL queries for a database system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.