G. Krishna Sriharsha, D. Lakshmi Padmaja, G. R. Ramana Rao, G. Surya Deepa
{"title":"A Modified Approach of Hyper-parameter Optimization to Assess The Classifier Performance","authors":"G. Krishna Sriharsha, D. Lakshmi Padmaja, G. R. Ramana Rao, G. Surya Deepa","doi":"10.1109/PuneCon55413.2022.10014931","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014931","url":null,"abstract":"Modern algorithms are remarkably adept at identifying data that is too large or complex for humans to comprehend. It has become difficult to identify the list of hyperparameters that deliver an improvement in performance for a given geometry of the data set. This has shifted the emphasis from processing data (model improvement) to the hyper parameters (tuning) of the classifier. Since hyper parameters are set to default values for a generic case, they need not be specially tuned to the given classification task. The purpose of this paper is to demonstrate a strategy that avoids unnecessary tuning attempts and shows the best performance for various classifiers on various shapes of geometry. The findings of this experiment will assist the user in determining whether hyper parameter tuning activities is worth the time and computational resources.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124643590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Ramesh, Sandeep Patil, Akshansh Jaiswal, Vikramjit Banerjee, Aman Shinde, Manali Kaswa
{"title":"A Covid-19 Tracker for Medical Front-liners","authors":"R. Ramesh, Sandeep Patil, Akshansh Jaiswal, Vikramjit Banerjee, Aman Shinde, Manali Kaswa","doi":"10.1109/PuneCon55413.2022.10014723","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014723","url":null,"abstract":"The management of Covid-19 affected patients is a very difficult task. The current healthcare system of India is not able to cope with the enormous flow of patients and is in a dire need for improvement. This implementation paper provides a system which will manage all the affected patients right from the time they are Covid-19 positive till the time they are treated and discharged. This paper includes all the technical details of a fully implemented healthcare management system which is a significant improvement in the current system. The proposed system is a cross platform multi user web app which can be used by multiple stakeholders to carry out smooth management of the patients. It consists of a lot of key features like dynamic location-wise patient status, an accurate tracking system of ambulances, a statistical trend analysis of patients and categorical report generation of patients. This system aims to help the medical Front-liners in efficient management of Covid-19 patients, and it is a common site for all the different health workers like field workers and medical officers to work togetherand fight against this deadly disease affecting our country.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134337959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}