9786200000446 - internet of intelligent things (ioit): a large-scale evaluation di dionysiou, antreas (6 risultati)
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 66,48
EUR 11,71 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.
- Altre immagini
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 36,35
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Internet of Intelligent Things (IoIT): A Large-Scale Evaluation | Antreas Dionysiou | Taschenbuch | 76 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200000446 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de… | Anbieter: preigu.
- Altre immagini
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Internet of Things (IoT) and Machine Learning (ML) have been two among the most popular research topics for the last two decades. The benefits that these two technologies offer are indeed prominent. Nevertheless, the combination of… these two breakthrough technologies can even bring more groundbreaking advantages to society, also transforming the classic IoT to an enhanced version called Internet of Intelligent Things (IoIT). In this paper, a large-scale evaluation of this enhanced concept is conducted, analyzing all of its core aspects, as well as explaining the advantages and potentials of this groundbreaking concept. Nonetheless, many challenges, that may act as an impediment on the benefits received through the IoIT, exist. In our large-scale evaluation, these challenges are detected and carefully examined, also suggesting ways to effectively overcome them. Data Mining (DM) is the process of extracting useful insights from large volumes of data. In this paper, we explain how ML- based DM techniques and methodologies could be utilized for the effective and efficient extraction of insights and valuable information from complex sequential data volumes. 76 pp. Englisch.
- Altre immagini
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,25
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dionysiou AntreasAntreas Dionysiou,Deep Learning - Security - Wireless Networks Special ScientistUniversity of Cyprurs - Cyprus.Internet of Things (IoT) and Machine Learning (ML) have been two among th…e most popular research top.
- Altre immagini
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Internet of Things (IoT) and Machine Learning (ML) have been two among the most popular research topics for the last two decades. The benefits that these two technologies offer are indeed prominent. Nevertheless, the combination of the…se two breakthrough technologies can even bring more groundbreaking advantages to society, also transforming the classic IoT to an enhanced version called Internet of Intelligent Things (IoIT). In this paper, a large-scale evaluation of this enhanced concept is conducted, analyzing all of its core aspects, as well as explaining the advantages and potentials of this groundbreaking concept. Nonetheless, many challenges, that may act as an impediment on the benefits received through the IoIT, exist. In our large-scale evaluation, these challenges are detected and carefully examined, also suggesting ways to effectively overcome them. Data Mining (DM) is the process of extracting useful insights from large volumes of data. In this paper, we explain how ML- based DM techniques and methodologies could be utilized for the effective and efficient extraction of insights and valuable information from complex sequential data volumes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
- Altre immagini
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,66 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Internet of Things (IoT) and Machine Learning (ML) have been two among the most popular research topics for the last two decades. The benefits that these two technologies offer are indeed prominent. Nevertheless, the combination of thes…e two breakthrough technologies can even bring more groundbreaking advantages to society, also transforming the classic IoT to an enhanced version called Internet of Intelligent Things (IoIT). In this paper, a large-scale evaluation of this enhanced concept is conducted, analyzing all of its core aspects, as well as explaining the advantages and potentials of this groundbreaking concept. Nonetheless, many challenges, that may act as an impediment on the benefits received through the IoIT, exist. In our large-scale evaluation, these challenges are detected and carefully examined, also suggesting ways to effectively overcome them. Data Mining (DM) is the process of extracting useful insights from large volumes of data. In this paper, we explain how ML- based DM techniques and methodologies could be utilized for the effective and efficient extraction of insights and valuable information from complex sequential data volumes.
