Vivek Kumar, Hitesh Singh, Kumud Saxena, B. Bonev, R. Prasad, V. Kapse
{"title":"6G网络设计中基于信号强度的降雨分类机器智能方法","authors":"Vivek Kumar, Hitesh Singh, Kumud Saxena, B. Bonev, R. Prasad, V. Kapse","doi":"10.1109/TELECOM56127.2022.10017308","DOIUrl":null,"url":null,"abstract":"As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.","PeriodicalId":359231,"journal":{"name":"2022 30th National Conference with International Participation (TELECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Intelligence Method for Rain Classification by Using Signal Strength for Designing of 6G Networks\",\"authors\":\"Vivek Kumar, Hitesh Singh, Kumud Saxena, B. Bonev, R. Prasad, V. Kapse\",\"doi\":\"10.1109/TELECOM56127.2022.10017308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.\",\"PeriodicalId\":359231,\"journal\":{\"name\":\"2022 30th National Conference with International Participation (TELECOM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 30th National Conference with International Participation (TELECOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELECOM56127.2022.10017308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th National Conference with International Participation (TELECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELECOM56127.2022.10017308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Intelligence Method for Rain Classification by Using Signal Strength for Designing of 6G Networks
As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.