Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.compeleceng.2022.107864 http://scihub22266oqcxt.onion/10.1016/j.compeleceng.2022.107864 35283542!8898670!35283542     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\35283542.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Comput+Electr+Eng 2022 ; 100 (ä): 107864 Nephropedia Template TP {{tp|p=35283542|t=2022. Use of supervised machine learning to detect abuse of COVID-19 related domain names |pdf=|usr=}}{{35283542}} gab.com Text Use of supervised machine learning to detect abuse of COVID-19 related domain names JO: Comput Electr Eng http://www.kidney.de/pget.php?&tw=1&pmid=35283542 #FOAvip A comprehensive evaluation of supervised machine learning models for COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementations are evaluated. The deep learning implementation architectures evaluated include the recurrent, convolutional, and hybrid models. The detection rate metrics and the computing time metrics are considered in the evaluation. The result reveals that advanced deep learning models outperform conventional machine learning models in terms of detection rate. The results also show evidence of a tradeoff between detection rate and computing speed for the selection of machine learning models/architectures. High-frequency lexical analysis is provided for a better understanding of the COVID-19 related domain names. The limitations, implications, and considerations of the use of supervised machine learning to detect abuse of COVID-19 related domain names are discussed. Twit Text FOAVip Use of supervised machine learning to detect abuse of COVID-19 related domain names ????Comput Electr Eng http://www.kidney.de/pget.php?&tw=1&pmid=35283542 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35283542 #FOAvip English Wikipedia <ref>{{Cite pmid|35283542}}</ref> Use of supervised machine learning to detect abuse of COVID-19 related domain names #MMPMID35283542 Wang Z Comput Electr Eng 2022[May]; 100 (ä): 107864 PMID35283542show ga A comprehensive evaluation of supervised machine learning models for COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementations are evaluated. The deep learning implementation architectures evaluated include the recurrent, convolutional, and hybrid models. The detection rate metrics and the computing time metrics are considered in the evaluation. The result reveals that advanced deep learning models outperform conventional machine learning models in terms of detection rate. The results also show evidence of a tradeoff between detection rate and computing speed for the selection of machine learning models/architectures. High-frequency lexical analysis is provided for a better understanding of the COVID-19 related domain names. The limitations, implications, and considerations of the use of supervised machine learning to detect abuse of COVID-19 related domain names are discussed. äUse of supervised machine learning to detect abuse of COVID-19 related(epmc).pdf DeepDyve Pubget Overpricing