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10.1007/s11042-020-09050-x http://scihub22266oqcxt.onion/10.1007/s11042-020-09050-x C7244940!7244940!32837246     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 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Multimed+Tools+Appl 2021 ; 80 (11): 16805-25 Nephropedia Template TP {{tp|p=32837246|t=2021. A re-organizing biosurveillance framework based on fog and mobile edge computing |pdf=|usr=}}{{32837246}} gab.com Text A re-organizing biosurveillance framework based on fog and mobile edge computing JO: Multimed Tools Appl http://www.kidney.de/pget.php?&tw=1&pmid=32837246 #FOAvip Biological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate responses to biological threats and consequently save human lives. Nevertheless, biosurveillance systems are costly to implement and hard to operate. Furthermore, they rely on static infrastructures that might not cope with the evolving dynamics of the monitored environment. In this paper, we present a reorganizing biosurveillance framework for the detection and localization of biological threats with fog and mobile edge computing support. In the proposed framework, a hierarchy of fog nodes are responsible for aggregating monitoring data within their regions and detecting potential threats. Although fog nodes are deployed on a fixed base station infrastructure, the framework provides an innovative technique for reorganizing the monitored environment structure to adapt to the evolving environmental conditions and to overcome the limitations of the static base station infrastructure. Evaluation results illustrate the ability of the framework to localize biological threats and detect infected areas. Moreover, the results show the effectiveness of the reorganization mechanisms in adjusting the environment structure to cope with the highly dynamic environment. Twit Text FOAVip A re-organizing biosurveillance framework based on fog and mobile edge computing ????Multimed Tools Appl http://www.kidney.de/pget.php?&tw=1&pmid=32837246 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837246 #FOAvip English Wikipedia <ref>{{Cite pmid|32837246}}</ref> A re-organizing biosurveillance framework based on fog and mobile edge computing #MMPMID32837246 Al-Zinati M; Alrashdan R; Al-Duwairi B; Aloqaily M Multimed Tools Appl 2021[]; 80 (11): 16805-25 PMID32837246show ga Biological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate responses to biological threats and consequently save human lives. Nevertheless, biosurveillance systems are costly to implement and hard to operate. Furthermore, they rely on static infrastructures that might not cope with the evolving dynamics of the monitored environment. In this paper, we present a reorganizing biosurveillance framework for the detection and localization of biological threats with fog and mobile edge computing support. In the proposed framework, a hierarchy of fog nodes are responsible for aggregating monitoring data within their regions and detecting potential threats. Although fog nodes are deployed on a fixed base station infrastructure, the framework provides an innovative technique for reorganizing the monitored environment structure to adapt to the evolving environmental conditions and to overcome the limitations of the static base station infrastructure. Evaluation results illustrate the ability of the framework to localize biological threats and detect infected areas. Moreover, the results show the effectiveness of the reorganization mechanisms in adjusting the environment structure to cope with the highly dynamic environment. äA re-organizing biosurveillance framework based on fog and mobile edge(epmc).pdf DeepDyve Pubget Overpricing