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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:344614814:3592
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:344614814:3592?format=raw

LEADER: 03592cam a22005897c 4500
001 15274773
005 20220430231126.0
006 m o d
007 cr cn|||||||||
008 201221t20202021enka ob 000 0 eng d
035 $a(OCoLC)on1228888932
035 $a(NNC)15274773
040 $aUKAHL$beng$erda$epn$cUKAHL$dCUV$dCUS$dOCLCF$dOCLCO
020 $a9781785618536$qelectronic bk.
020 $a1785618539$qelectronic bk.
020 $z9781785618529
020 $z1785618520
035 $a(OCoLC)1228888932
050 4 $aTK6575
049 $aZCUA
245 00 $aDeep neural network design for radar applications$cedited by Sevgi Zubeyde Gurbuz
264 1 $aLondon$bSciTech Publishing, an imprint of The Institution of Engineering and Technology$c2020
264 4 $c©2021
300 $a1 online resource$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 $aDescription based on online resource; title from PDF title page (IET Digital Library , viewed on March 17, 2021)
504 $aIncludes bibliographical references and index
505 0 $aPrologue : perspectives on deep learning of RF data / Sevgi Zubeyde Gurbuz and Eric S. Mason -- Radar systems, signals, and phenomenology / Sevgi Zubeyde Gurbuz, Shunqiao Sun, and David Tahmoush -- Basic principles of machine learning / Ali Cafer Gurbuz and Fauzia Ahmad -- Theoretical foundations of deep learning / Stefan Brüggenwirth and Simon Wagner -- Radar data representation for classification of activities of daily living / Baris Erol and Moeness G. Amin -- Challenges in training DNNs for classification of radar micro-Doppler signatures / Sevgi Z. Gurbuz, Moeness G. Amin, Mehmet S. Seyfioğlu, and Baris Erol -- Machine learning techniques for SAR data augmentation / Benjamin Lewis, Theresa Scarnati, Michael Levy, John Nehrbass, Edmund Zelnio, and Elizabeth Sudkamp -- Classifying micro-Doppler signatures using deep convolutional neural networks / Youngwook Kim -- Deep neural network design for SAR/ISAR-based automatic target recognition / Simon Wagner and Stefan Brüggenwirth -- Deep learning for passive synthetic aperture radar imaging / Samia Kazemi, Eric Mason, Bariscan Yonel, and Birsen Yazici --Fusion of deep representations in multistatic radar networks / Jarez Satish Patel, Francesco Fioranelli, Matthew Ritchie and Hugh Griffiths -- Application of deep learning to radar remote sensing / John Rogers, Lucas Cagle, John E. Ball, Mehmet Kurum and Sevgi Z. Gurbuz -- Epilogue : looking toward the future / Sevgi Zubeyde Gurbuz.
650 0 $aRadar.
650 0 $aMachine learning.
650 0 $aNeural networks (Computer science)
650 0 $aRemote sensing.
650 0 $aDoppler radar.
650 2 $aRadar
650 2 $aNeural Networks, Computer
650 2 $aRemote Sensing Technology
650 6 $aRadar.
650 6 $aApprentissage automatique.
650 6 $aRéseaux neuronaux (Informatique)
650 6 $aTélédétection.
650 6 $aRadar Doppler.
650 7 $aradar.$2aat
650 7 $aDoppler radar$2fast$0(OCoLC)fst00896950
650 7 $aMachine learning$2fast$0(OCoLC)fst01004795
650 7 $aNeural networks (Computer science)$2fast$0(OCoLC)fst01036260
650 7 $aRadar$2fast$0(OCoLC)fst01086712
650 7 $aRemote sensing$2fast$0(OCoLC)fst01094469
700 1 $aGurbuz, Sevgi Zubeyde$eeditor
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15274773$zACADEMIC - Aerospace & Radar Technology
852 8 $blweb$hEBOOKS