{"title":"Wage Equity Impact on Customer Service in the Indian Hotel Sector","authors":"Sanchita Tuli","doi":"10.61137/ijsret.vol.9.issue6.101","DOIUrl":"https://doi.org/10.61137/ijsret.vol.9.issue6.101","url":null,"abstract":"","PeriodicalId":488792,"journal":{"name":"International Journal of Scientific Research and Engineering Trends","volume":"15 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138592646","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}
{"title":"An Automated Fire Detection and Reporting System Based on AI and IoT Technologies","authors":"Abubakari Abdul-Rahaman","doi":"10.61137/ijsret.vol.9.issue5.102","DOIUrl":"https://doi.org/10.61137/ijsret.vol.9.issue5.102","url":null,"abstract":"","PeriodicalId":488792,"journal":{"name":"International Journal of Scientific Research and Engineering Trends","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135779950","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}
{"title":"A Survey of the Self-Operative Trust Scheme against MANET Disruptions","authors":"Sujeet Gautam","doi":"10.61137/ijsret.vol.9.issue5.101","DOIUrl":"https://doi.org/10.61137/ijsret.vol.9.issue5.101","url":null,"abstract":"-A mobile ad hoc network is a group of nodes that lacks an infrastructure, making it simple to set up and deploy right away. All nodes in this type of network perform the role of routers in addition to their normal operations. All nodes are allowed to move at random in a MANET because of the network's mobility and dynamic nature, which causes frequent changes in topology. The complexity of routing the packets from source to destination is therefore invited. The numerous difficulties and problems relating to the trust value or scheme in the mobile ad hoc network are discussed in this article, and we also offer the survey for the network's trust scheme.","PeriodicalId":488792,"journal":{"name":"International Journal of Scientific Research and Engineering Trends","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135032282","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}
{"title":"A Deep Learning Based Approach for Heart Disease Classification using PCG Datasets","authors":"Smita Waskale","doi":"10.61137/ijsret.vol.9.issue4.101","DOIUrl":"https://doi.org/10.61137/ijsret.vol.9.issue4.101","url":null,"abstract":"-Heart related diseases presently pose one of the major threat worldwide. Heart abnormalities show a wide variation because of which accurate diagnosis becomes challenging. Phonocardigram (PCG) signals and their analysis has opened up a new paradigm in telemedicine. The abrupt fluctuations and the randomness of the PCG signals make them difficult to analyze and extract key parameters called features. Conventional Fourier techniques fail in this regard. In this paper, we have proposed a wavelet based technique wherein the discrete wavelet transform (DWT) have been used for the processing and feature extraction of the PCG signals has been done subsequently. The features extracted are energy, variance, entropy and standard deviation. The features extracted can be subsequently utilized for the classification of the PCG signals using the Conjugate Gradient Algorithm. The three categories of classified are: stenosis, regurgidation and normal. It has been shown that the proposed algorithm attains an accuracy of 93%.","PeriodicalId":488792,"journal":{"name":"International Journal of Scientific Research and Engineering Trends","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135936697","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}