K. Tharageswari, Laxmi Raja, D. Selvapandian, R. Dhanapal
{"title":"Collective Learning Ambiance of Human Pursuance with Intelligent Revival and Prediction Analysis","authors":"K. Tharageswari, Laxmi Raja, D. Selvapandian, R. Dhanapal","doi":"10.1109/I-SMAC49090.2020.9243396","DOIUrl":null,"url":null,"abstract":"The work that has been taken enforces the artificial intelligent technique in providing framework to design and make calculations based upon the discovers made by following the examples in learning technology to make a relationship successful for the appraisal of the work done with the enormous amount of information shared using collective learning ambience. The Collective learning ambience will be help for the larger team members for a problem in real time world and bring out a solution for the same. Visualizing these organized work flow in a multilayered frame work gives more difficulties in finding out a perfect solution. So to make the process much easier we are going to use a technique that deals around the machine learning framework in obtaining the required data and fulfill the information gathering as an easy process which is to be taken place in the collective learning ambience(CLA). After which the data and information that has been obtained enhanced with the integration technique in finding out the psychometric analysis and deep learning techniques to figure out feature extraction, skill recognition, pattern finding and also finding out the behaviors in human begin based upon the input that has been obtained from various resources. Thereafter the process will also be helpful in finding out the lower level process involved in the learning process.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC49090.2020.9243396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The work that has been taken enforces the artificial intelligent technique in providing framework to design and make calculations based upon the discovers made by following the examples in learning technology to make a relationship successful for the appraisal of the work done with the enormous amount of information shared using collective learning ambience. The Collective learning ambience will be help for the larger team members for a problem in real time world and bring out a solution for the same. Visualizing these organized work flow in a multilayered frame work gives more difficulties in finding out a perfect solution. So to make the process much easier we are going to use a technique that deals around the machine learning framework in obtaining the required data and fulfill the information gathering as an easy process which is to be taken place in the collective learning ambience(CLA). After which the data and information that has been obtained enhanced with the integration technique in finding out the psychometric analysis and deep learning techniques to figure out feature extraction, skill recognition, pattern finding and also finding out the behaviors in human begin based upon the input that has been obtained from various resources. Thereafter the process will also be helpful in finding out the lower level process involved in the learning process.