Verfügbarkeit: Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics:

Gespeichert in:

Bibliographische Detailangaben
Weitere beteiligte Personen:	Dash, Sujata 1964- (HerausgeberIn), Acharya, Biswa Ranjan (HerausgeberIn), Mittal, Mamta (HerausgeberIn), Abraham, Ajith 1968- (HerausgeberIn), Kelemen, Arpad (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer [2020]
Schriftenreihe:	Studies in Big Data 68
Schlagwörter:	Computational Intelligence Data Engineering Biomedical Engineering and Bioengineering Big Data Artificial Intelligence Computational intelligence Engineering—Data processing Biomedical engineering Big data Artificial intelligence Aufsatzsammlung
Links:	https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1 https://doi.org/10.1007/978-3-030-33966-1
Umfang:	1 Online-Ressource (xxv, 383 Seiten)
ISBN:	9783030339661
DOI:	10.1007/978-3-030-33966-1

Internformat

MARC


LEADER	00000nam a2200000zcb4500
001	BV046284044
003	DE-604
005	20200511
007	cr\|uuu---uuuuu
008	191204s2020 xx o\|\|\|\| 00\|\|\| eng d
020			\|a 9783030339661 \|c Online \|9 978-3-030-33966-1
024	7		\|a 10.1007/978-3-030-33966-1 \|2 doi
035			\|a (ZDB-2-INR)9783030339661
035			\|a (OCoLC)1130266763
035			\|a (DE-599)BVBBV046284044
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-1028 \|a DE-739 \|a DE-1050 \|a DE-860 \|a DE-91 \|a DE-1046 \|a DE-1043 \|a DE-Aug4 \|a DE-898 \|a DE-523 \|a DE-859 \|a DE-863 \|a DE-862 \|a DE-92 \|a DE-522 \|a DE-573 \|a DE-M347 \|a DE-703 \|a DE-706 \|a DE-634
082	0		\|a 006.3 \|2 23
084			\|a DAT 000 \|2 stub
245	1	0	\|a Deep Learning Techniques for Biomedical and Health Informatics \|c Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen - editors
264		1	\|a Cham \|b Springer \|c [2020]
300			\|a 1 Online-Ressource (xxv, 383 Seiten)
336			\|b txt \|2 rdacontent
337			\|b c \|2 rdamedia
338			\|b cr \|2 rdacarrier
490	1		\|a Studies in Big Data \|v 68
650		4	\|a Computational Intelligence
650		4	\|a Data Engineering
650		4	\|a Biomedical Engineering and Bioengineering
650		4	\|a Big Data
650		4	\|a Artificial Intelligence
650		4	\|a Computational intelligence
650		4	\|a Engineering—Data processing
650		4	\|a Biomedical engineering
650		4	\|a Big data
650		4	\|a Artificial intelligence
655		7	\|8 1\p \|0 (DE-588)4143413-4 \|a Aufsatzsammlung \|2 gnd-content
700	1		\|a Dash, Sujata \|d 1964- \|0 (DE-588)114171146X \|4 edt
700	1		\|a Acharya, Biswa Ranjan \|4 edt
700	1		\|a Mittal, Mamta \|4 edt
700	1		\|a Abraham, Ajith \|d 1968- \|0 (DE-588)123881315 \|4 edt
700	1		\|a Kelemen, Arpad \|4 edt
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-030-33965-4
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-030-33967-8
776	0	8	\|i Erscheint auch als \|n Druck-Ausgabe \|z 978-3-030-33968-5
830		0	\|a Studies in Big Data \|v 68 \|w (DE-604)BV041583423 \|9 68
856	4	0	\|u https://doi.org/10.1007/978-3-030-33966-1 \|x Verlag \|z URL des Erstveröffentlichers \|3 Volltext
912			\|a ZDB-2-INR
940	1		\|q ZDB-2-INR_2020
883	1		\|8 1\p \|a cgwrk \|d 20201028 \|q DE-101 \|u https://d-nb.info/provenance/plan#cgwrk
943	1		\|a oai:aleph.bib-bvb.de:BVB01-031661623
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-522 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-634 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-1043 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-1046 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-1028 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-Aug4 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-1050 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-573 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-M347 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-92 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-898 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-859 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-860 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-863 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-862 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-523 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-91 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-703 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-706 \|p ZDB-2-INR \|x Verlag \|3 Volltext
966	e		\|u https://doi.org/10.1007/978-3-030-33966-1 \|l DE-739 \|p ZDB-2-INR \|x Verlag \|3 Volltext

Datensatz im Suchindex

DE-BY-TUM_katkey	2446434
_version_	1821932732028026880
any_adam_object
author2	Dash, Sujata 1964- Acharya, Biswa Ranjan Mittal, Mamta Abraham, Ajith 1968- Kelemen, Arpad
author2_role	edt edt edt edt edt
author2_variant	s d sd b r a br bra m m mm a a aa a k ak
author_GND	(DE-588)114171146X (DE-588)123881315
author_facet	Dash, Sujata 1964- Acharya, Biswa Ranjan Mittal, Mamta Abraham, Ajith 1968- Kelemen, Arpad
building	Verbundindex
bvnumber	BV046284044
classification_tum	DAT 000
collection	ZDB-2-INR
ctrlnum	(ZDB-2-INR)9783030339661 (OCoLC)1130266763 (DE-599)BVBBV046284044
dewey-full	006.3
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
dewey-raw	006.3
dewey-search	006.3
dewey-sort	16.3
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
doi_str_mv	10.1007/978-3-030-33966-1
format	Electronic eBook
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04252nam a2200829zcb4500</leader><controlfield tag="001">BV046284044</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200511 </controlfield><controlfield tag="007">cr\|uuu---uuuuu</controlfield><controlfield tag="008">191204s2020 xx o\|\|\|\| 00\|\|\| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030339661</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-030-33966-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-030-33966-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-INR)9783030339661</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1130266763</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046284044</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1028</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-522</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep Learning Techniques for Biomedical and Health Informatics</subfield><subfield code="c">Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen - editors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxv, 383 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Studies in Big Data</subfield><subfield code="v">68</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical Engineering and Bioengineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering—Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomedical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dash, Sujata</subfield><subfield code="d">1964-</subfield><subfield code="0">(DE-588)114171146X</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Acharya, Biswa Ranjan</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mittal, Mamta</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abraham, Ajith</subfield><subfield code="d">1968-</subfield><subfield code="0">(DE-588)123881315</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kelemen, Arpad</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-33965-4</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-33967-8</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-33968-5</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Studies in Big Data</subfield><subfield code="v">68</subfield><subfield code="w">(DE-604)BV041583423</subfield><subfield code="9">68</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-INR</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-INR_2020</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031661623</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-522</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-634</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-1028</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-M347</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-863</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-862</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-523</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-703</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-33966-1</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-2-INR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection>
genre	1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content
genre_facet	Aufsatzsammlung
id	DE-604.BV046284044
illustrated	Not Illustrated
indexdate	2024-12-20T18:48:14Z
institution	BVB
isbn	9783030339661
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-031661623
oclc_num	1130266763
open_access_boolean
owner	DE-1028 DE-739 DE-1050 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-523 DE-859 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-522 DE-573 DE-M347 DE-703 DE-706 DE-634
owner_facet	DE-1028 DE-739 DE-1050 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-523 DE-859 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-92 DE-522 DE-573 DE-M347 DE-703 DE-706 DE-634
physical	1 Online-Ressource (xxv, 383 Seiten)
psigel	ZDB-2-INR ZDB-2-INR_2020
publishDate	2020
publishDateSearch	2020
publishDateSort	2020
publisher	Springer
record_format	marc
series	Studies in Big Data
series2	Studies in Big Data
spellingShingle	Deep Learning Techniques for Biomedical and Health Informatics Studies in Big Data Computational Intelligence Data Engineering Biomedical Engineering and Bioengineering Big Data Artificial Intelligence Computational intelligence Engineering—Data processing Biomedical engineering Big data Artificial intelligence
subject_GND	(DE-588)4143413-4
title	Deep Learning Techniques for Biomedical and Health Informatics
title_auth	Deep Learning Techniques for Biomedical and Health Informatics
title_exact_search	Deep Learning Techniques for Biomedical and Health Informatics
title_full	Deep Learning Techniques for Biomedical and Health Informatics Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen - editors
title_fullStr	Deep Learning Techniques for Biomedical and Health Informatics Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen - editors
title_full_unstemmed	Deep Learning Techniques for Biomedical and Health Informatics Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen - editors
title_short	Deep Learning Techniques for Biomedical and Health Informatics
title_sort	deep learning techniques for biomedical and health informatics
topic	Computational Intelligence Data Engineering Biomedical Engineering and Bioengineering Big Data Artificial Intelligence Computational intelligence Engineering—Data processing Biomedical engineering Big data Artificial intelligence
topic_facet	Computational Intelligence Data Engineering Biomedical Engineering and Bioengineering Big Data Artificial Intelligence Computational intelligence Engineering—Data processing Biomedical engineering Big data Artificial intelligence Aufsatzsammlung
url	https://doi.org/10.1007/978-3-030-33966-1
volume_link	(DE-604)BV041583423
work_keys_str_mv	AT dashsujata deeplearningtechniquesforbiomedicalandhealthinformatics AT acharyabiswaranjan deeplearningtechniquesforbiomedicalandhealthinformatics AT mittalmamta deeplearningtechniquesforbiomedicalandhealthinformatics AT abrahamajith deeplearningtechniquesforbiomedicalandhealthinformatics AT kelemenarpad deeplearningtechniquesforbiomedicalandhealthinformatics

Verfügbarkeit

Bestellen (Login erforderlich)

Online lesen