As the Smart city trend especially artificial intelligence,data science,and the internet of things has attracted lots of attention,many researchers have created various smart applications for improving people’s life ...
详细信息
As the Smart city trend especially artificial intelligence,data science,and the internet of things has attracted lots of attention,many researchers have created various smart applications for improving people’s life *** it is very essential to automatically collect and exploit information in the era of industry 4.0,a variety of models have been proposed for storage problem solving and efficient data *** this paper,we present our proposed system,Trendy Keyword Extraction System(TKES),which is designed for extracting trendy keywords from text *** system also supports storing,analyzing,and visualizing documents coming from text *** system first automatically collects daily articles,then it ranks the importance of keywords by calculating keywords’frequency of existence in order to find trendy keywords by using the Burst Detection Algorithm which is proposed in this paper based on the idea of *** method is used for detecting bursts.A burst is defined as a period of time when a keyword is continuously and unusually popular over the text stream and the identification of bursts is known as burst detection *** results from user requests could be displayed ***,we create a method in order to find a trendy keyword set which is defined as a set of keywords that belong to the same *** work also describes the datasets used for our experiments,processing speed tests of our two proposed algorithms.
this is a continuity of a series of taxonomic papers where materials are examined,described and novel combinations are proposed where necessary to improve our traditional species concepts and provide updates on their ...
详细信息
this is a continuity of a series of taxonomic papers where materials are examined,described and novel combinations are proposed where necessary to improve our traditional species concepts and provide updates on their *** addition to extensive morphological descriptions and appropriate asexual and sexual connections,DNA sequence data are also analysed from concatenated datasets(rDNA,TEF-a,RBP2 and b-Tubulin)to infer phylogenetic relationships and substantiate systematic position of taxa within appropriate *** new species or combinations are being proposed,we apply an integrative approach(morphological and molecular data as well as ecological features wherever applicable).Notes on 125 fungal taxa are compiled in this paper,including eight new genera,101 new species,two new combinations,one neotype,four reference specimens,new host or distribution records for eight species and one alternative *** new genera introduced in this paper are Alloarthopyrenia,Arundellina,Camarosporioides,Neomassaria,Neomassarina,Neotruncatella,Paracapsulospora and *** new species are Alfaria spartii,Alloarthopyrenia italica,Anthostomella ravenna,***,Arthrinium paraphaeospermum,Arundellina typhae,Aspergillus koreanus,Asterina cynometrae,Bertiella ellipsoidea,Blastophorum aquaticum,Cainia globosa,Camarosporioides phragmitis,Ceramothyrium menglunense,Chaetosphaeronema achilleae,Chlamydotubeufia helicospora,Ciliochorella phanericola,Clavulinopsis aurantiaca,Colletotrichum insertae,Comoclathris italica,Coronophora myricoides,Cortinarius fulvescentoideus,***,***,***,Cunninghamella gigacellularis,Cyathus pyristriatus,Cytospora cotini,Dematiopleospora alliariae,***,Diaporthe aseana,***,Distoseptispora multiseptata,***,***,Dothiora buxi,Emericellopsis persica,Gloniopsis calami,Helicoma guttulatum,Helvella floriforma,***,Hermatomyces subiculosa,Ju
暂无评论