Titlebook: Emerging Technologies for Computing, Communication and Smart Cities; Proceedings of ETCCS Pradeep Kumar Singh,Maheshkumar H. Kolekar,Raj K.

IU421

書目名稱Emerging Technologies for Computing, Communication and Smart Cities影響因子(影響力)




書目名稱Emerging Technologies for Computing, Communication and Smart Cities影響因子(影響力)學科排名




書目名稱Emerging Technologies for Computing, Communication and Smart Cities網絡公開度




書目名稱Emerging Technologies for Computing, Communication and Smart Cities網絡公開度學科排名




書目名稱Emerging Technologies for Computing, Communication and Smart Cities被引頻次




書目名稱Emerging Technologies for Computing, Communication and Smart Cities被引頻次學科排名




書目名稱Emerging Technologies for Computing, Communication and Smart Cities年度引用




書目名稱Emerging Technologies for Computing, Communication and Smart Cities年度引用學科排名




書目名稱Emerging Technologies for Computing, Communication and Smart Cities讀者反饋




書目名稱Emerging Technologies for Computing, Communication and Smart Cities讀者反饋學科排名

FEAT

forestry

Christopher J. Lucas,John W. Murry Jr.ical domain with big data and predicting value points from this data will create a total difference in Medical industry. The prediction not only help health seekers but also helps in reducing the cost that a patient spend on health advises. The innovation in healthcare system storing information wil

Lyme-disease

Enervate

grandiose

,Woolf’s ‘Magical Garden of Women’,d query is used to find out the most relevant documents from the database. This database consists of various text documents of different formats like pdf, word files, excel sheets, online crawled data, etc. All this data is stored in a database name as ElasticSearch. The proposed system can be used

grandiose

肥料

Filter Design in the Frequency Domainormation or big data. Information science/engineering combines different fields of statistics and computer science to interpret information for decision-making purposes. The purpose of this article is to provide the method for detecting twitter the speech using Support vector machine and Machine Lea

explicit

D. Lutz,O. Krieger,H. Kasparu,E. Fiedlerc trees) to fetch all combinations of noun and verb families of word phrases, predominantly occupying free texts. In this paper, the computation of text semantic similarity is addressed by devising a novel set of generic similarity metrics based on both, word-sense of the phrases constituting the te

Blanch

Maurizio Atzeni,Pablo Ghiglianis (logistic regression, KNN, SVC, etc.) are compared to the hybrid ensemble model of the above seven techniques. The evaluation of the model is done in terms of numerous performance indicators, such as accuracy, precision and recall. Compared to stand-alone models, the results demonstrate that the e