000 02771naaaa2200637uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/76443
005 20220220042915.0
020 _abooks978-3-0365-0231-1
020 _a9783036502304
020 _a9783036502311
024 7 _a10.3390/books978-3-0365-0231-1
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aAP
_2bicssc
100 1 _ade Pablos Heredero, Carmen
_4edt
700 1 _ade Pablos Heredero, Carmen
_4oth
245 1 0 _aFuture Intelligent Systems and Networks 2019
260 _aBasel, Switzerland
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2021
300 _a1 electronic resource (100 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aIn this Special Issue, we present current developments and future directions of future intelligent systems and networks. This is the second Special Issue regarding the future of the Internet. This subject remains of interest for firms applying technological possibilities to promote more innovative business models. This Special Issue widens the application of intelligent systems and networks to firms so that they can evolve to more innovative models. The five contributions highlight useful applications, business models, or innovative practices based on intelligent systems and networks. We hope our findings become an inspiration for firms operating in various industries.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aFilm, TV & radio
_2bicssc
653 _apolymediation
653 _aYouTube
653 _aYouTubers
653 _aaudio-visual genre
653 _aSocialBlade
653 _aelRubius
653 _afeatures prediction
653 _asentiment analysis
653 _aLSTM
653 _aopen data
653 _aopen innovation
653 _aliterature review
653 _aauthors
653 _ajournals
653 _aknowledge areas
653 _amethodological characteristics
653 _atax fraud
653 _aneural networks
653 _aintelligent systems and networks
653 _apersonal income tax
653 _aprediction
653 _afootball
653 _aclubs
653 _awebs
653 _adigital communication
653 _amarketing
653 _aengagement
653 _adigital transformation
653 _ainnovation in communication models, prediction
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/3878
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/76443
_70
_zDOAB: description of the publication
999 _c65132
_d65132