Matches in SemOpenAlex for { <https://semopenalex.org/work/W4304208060> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4304208060 abstract "In today’s digital era mobile phones have become a necessity and important part of every one’s life. The call quality is a developing research area in the field of cellular networking domain. The quality of call for a set of calls is predicted based on the aggregation of successful parameters of a call. The telecom operators face a major issue in their service which is referred as call drop. Call drop is a situation in which the ongoing conversation of a subscriber is ended in between abruptly. The unexpected drop in a call is becoming one of the biggest problems in telecom sector globally. The mobile call drop affects the call quality of subscribers which leads to reduction in revenue among telecom service. This research aims to design a machine learning model in predicting Call Quality of Telecom service providers. To overcome the call drop issue, this research has used a model of neural network to improve their performance and effectiveness of call. This research was conducted using Python software and Random Forest Classifier (machine learning algorithm) is used. The call parameters used in this research are call data, call rating, number of subscribers and call drop category. The main idea of the research is to develop a machine learning model to estimate the parameters of call during a call and presents an average rank at the termination of a call. This research conducts the research for three months only namely September, October and November month. The performance is evaluated in this research using accuracy, precision, recall, and f-score measures. The results of the research render an accuracy of 90% for call quality. This research suggests telecom operators to use machine learning technique on cellular network data for reducing the call drops and resolve it to improve subscribers call quality for a non-stop conversation in future." @default.
- W4304208060 created "2022-10-11" @default.
- W4304208060 creator A5039059240 @default.
- W4304208060 creator A5057069248 @default.
- W4304208060 creator A5069198878 @default.
- W4304208060 date "2022-08-26" @default.
- W4304208060 modified "2023-09-27" @default.
- W4304208060 title "Application of Machine Learning in Predicting Call Quality of Telecom Service Providers" @default.
- W4304208060 cites W1492039246 @default.
- W4304208060 cites W2687610941 @default.
- W4304208060 cites W2727698908 @default.
- W4304208060 cites W2938016644 @default.
- W4304208060 cites W3032454844 @default.
- W4304208060 cites W3131010162 @default.
- W4304208060 cites W3133754123 @default.
- W4304208060 cites W3179039649 @default.
- W4304208060 doi "https://doi.org/10.1109/asiancon55314.2022.9909099" @default.
- W4304208060 hasPublicationYear "2022" @default.
- W4304208060 type Work @default.
- W4304208060 citedByCount "0" @default.
- W4304208060 crossrefType "proceedings-article" @default.
- W4304208060 hasAuthorship W4304208060A5039059240 @default.
- W4304208060 hasAuthorship W4304208060A5057069248 @default.
- W4304208060 hasAuthorship W4304208060A5069198878 @default.
- W4304208060 hasConcept C102379954 @default.
- W4304208060 hasConcept C110875604 @default.
- W4304208060 hasConcept C111919701 @default.
- W4304208060 hasConcept C116537 @default.
- W4304208060 hasConcept C121955636 @default.
- W4304208060 hasConcept C131969451 @default.
- W4304208060 hasConcept C136764020 @default.
- W4304208060 hasConcept C142603982 @default.
- W4304208060 hasConcept C144133560 @default.
- W4304208060 hasConcept C162853370 @default.
- W4304208060 hasConcept C171246234 @default.
- W4304208060 hasConcept C195487862 @default.
- W4304208060 hasConcept C2779808267 @default.
- W4304208060 hasConcept C2780378061 @default.
- W4304208060 hasConcept C28819325 @default.
- W4304208060 hasConcept C41008148 @default.
- W4304208060 hasConcept C5119721 @default.
- W4304208060 hasConcept C519991488 @default.
- W4304208060 hasConcept C56961345 @default.
- W4304208060 hasConcept C76155785 @default.
- W4304208060 hasConceptScore W4304208060C102379954 @default.
- W4304208060 hasConceptScore W4304208060C110875604 @default.
- W4304208060 hasConceptScore W4304208060C111919701 @default.
- W4304208060 hasConceptScore W4304208060C116537 @default.
- W4304208060 hasConceptScore W4304208060C121955636 @default.
- W4304208060 hasConceptScore W4304208060C131969451 @default.
- W4304208060 hasConceptScore W4304208060C136764020 @default.
- W4304208060 hasConceptScore W4304208060C142603982 @default.
- W4304208060 hasConceptScore W4304208060C144133560 @default.
- W4304208060 hasConceptScore W4304208060C162853370 @default.
- W4304208060 hasConceptScore W4304208060C171246234 @default.
- W4304208060 hasConceptScore W4304208060C195487862 @default.
- W4304208060 hasConceptScore W4304208060C2779808267 @default.
- W4304208060 hasConceptScore W4304208060C2780378061 @default.
- W4304208060 hasConceptScore W4304208060C28819325 @default.
- W4304208060 hasConceptScore W4304208060C41008148 @default.
- W4304208060 hasConceptScore W4304208060C5119721 @default.
- W4304208060 hasConceptScore W4304208060C519991488 @default.
- W4304208060 hasConceptScore W4304208060C56961345 @default.
- W4304208060 hasConceptScore W4304208060C76155785 @default.
- W4304208060 hasLocation W43042080601 @default.
- W4304208060 hasOpenAccess W4304208060 @default.
- W4304208060 hasPrimaryLocation W43042080601 @default.
- W4304208060 hasRelatedWork W1752181680 @default.
- W4304208060 hasRelatedWork W1968895444 @default.
- W4304208060 hasRelatedWork W2090677037 @default.
- W4304208060 hasRelatedWork W2093958702 @default.
- W4304208060 hasRelatedWork W2949617132 @default.
- W4304208060 hasRelatedWork W3173849889 @default.
- W4304208060 hasRelatedWork W4233040899 @default.
- W4304208060 hasRelatedWork W4250116973 @default.
- W4304208060 hasRelatedWork W4304208060 @default.
- W4304208060 hasRelatedWork W1554140219 @default.
- W4304208060 isParatext "false" @default.
- W4304208060 isRetracted "false" @default.
- W4304208060 workType "article" @default.