The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) [electronic resource] / edited by Muhammad Younas, Irfan Awan, Salima Benbernou, Dana Petcu.

Colaborador(es): Younas, Muhammad [editor.] | Awan, Irfan [editor.] | Benbernou, Salima [editor.] | Petcu, Dana [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 768Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: X, 141 p. 48 illus., 38 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031423178Tema(s): Computational intelligence | Engineering -- Data processing | Computational Intelligence | Data EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto En: Springer Nature eBookResumen: This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare. The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.
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This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare. The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

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