LEADER 02089oam 2200517Ia 450 001 9910701733403321 005 20120502111036.0 035 $a(CKB)5470000002420766 035 $a(OCoLC)792943666 035 $a(EXLCZ)995470000002420766 100 $a20120502d1985 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChemoviscosity modeling for thermosetting resins$b[electronic resource] $efinal report for the period ended August 31, 1985 /$fby J.M. Bai, graduate research assistant, T.H. Hou, co-principal investigator, and Surendra N. Tiwari, principal investigator 210 1$aNorfolk, Va. :$cDept. of Mechanical Engineering and Mechanics, School of Engineering, Old Dominion University ;$aHampton, VA :$cNational Aeronautics and Space Administration, Langley Research Center,$d[1985] 215 $a1 online resource (iv, 18 pages) $cillustrations 225 1 $a[NASA contractor report] ;$vNASA CR-176409 300 $aTitle from title screen (viewed on Apr. 25, 2012). 300 $a"November 1985." 320 $aIncludes bibliographical references (page 12). 517 $aChemoviscosity modeling for thermosetting resins 606 $aChemical properties$2nasat 606 $aMathematical models$2nasat 606 $aThermal diffusivity$2nasat 606 $aThermosetting resins$2nasat 606 $aViscosity$2nasat 615 7$aChemical properties. 615 7$aMathematical models. 615 7$aThermal diffusivity. 615 7$aThermosetting resins. 615 7$aViscosity. 700 $aTiwari$b S. N$g(Surendra N.)$01401272 701 $aHou$b T. H$01393498 701 $aBai$b J. M$01403529 712 02$aOld Dominion University.$bDepartment of Mechanical Engineering and Mechanics. 712 02$aLangley Research Center. 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910701733403321 996 $aChemoviscosity modeling for thermosetting resins$93476423 997 $aUNINA LEADER 03260oam 2200553 450 001 9910159456403321 005 20190911103516.0 010 $a1-5225-1751-0 024 7 $a10.4018/978-1-5225-1750-4 035 $a(OCoLC)967761377 035 $a(MiFhGG)GVRL02DC 035 $a(EXLCZ)993710000001018832 100 $a20161219h20172017 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aBig data applications in the telecommunications industry /$fYe Ouyang and Mantian Hu, editors 210 1$aHershey, PA :$cInformation Science Reference,$d[2017] 210 4$d?2017 215 $a1 online resource (xv, 216 pages) $cillustrations (chiefly color) 225 1 $aAdvances in wireless technologies and telecommunication (AWTT) book series 311 $a1-5225-1750-2 320 $aIncludes bibliographical references and index. 327 $aDetecting abnormal traffic in wireless networks using unsupervised models / Alexis Huet -- Evaluating wireless network accessibility performance via clustering-based model: an analytic methodology / Yan Wang, Zhensen Wu -- Modeling for time generating network: an advanced Bayesian model / Yirui Hu -- Identifying dissatisfied 4G customers from network indicators: a comparison between complaint and survey data / Xinling Dai -- Predicting 4G adoption with Apache Spark: a field experiment / Mantian (Mandy) Hu -- Mining of leaders in mobile telecom social networks / Mantian (Mandy) Hu -- Network-based targeting: big data application in mobile industry / Chu (Ivy) Dang -- Anomaly detection in wireless networks: an introduction to multi-cluster technique / Yirui Hu -- Continuous-time Markov chain-based reliability analysis for future cellular networks / Hasan Farooq, Md Salik Parwez, Ali Imran -- Spectral efficiency self-optimization through dynamic user clustering and beam steering / Md Salik Parwez [and 3 others]. 330 3 $a"This book is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction"--Provided by publisher. 410 0$aResearch essentials. 410 0$aAdvances in wireless technologies and telecommunication (AWTT) book series. 606 $aNetwork performance (Telecommunication)$xReliability 606 $aBig data 610 $aAnomaly detection 610 $aCo-occurrence data modeling 610 $aConsumer feedback 610 $aCustomer satisfaction and retention 610 $aNetwork accessibility 610 $aSocial networks 610 $aTraffic data 615 0$aNetwork performance (Telecommunication)$xReliability. 615 0$aBig data. 676 $a384.30285/57 702 $aOuyang$b Ye$f1981- 702 $aHu$b Mantian$f1981- 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910159456403321 996 $aBig data applications in the telecommunications industry$92888288 997 $aUNINA