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High Performance Computing, Smart Devices and Networks [electronic resource] : Select Proceedings of CHSN 2023 / edited by B. Annappa, Wei-Chiang Hong, Dasari Haritha, G. Lavanya Devi.

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Material type:

TextSeries: Lecture Notes in Electrical Engineering ; 1262Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVII, 314 p. 126 illus., 103 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819777945

Subject(s):

-- Evaluation

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:

Q342

Online resources:

Resursa online

Contents:

Secure Data Sharing using Enhanced Attribute Based Encryption for Blockchain Technology -- An Enhanced Text Classification Using Machine Learning -- Secure Data Sharing using Enhanced Attribute Based Encryption for Blockchain Technology.

In: Springer Nature eBookSummary: This book comprises the proceedings of the 4th International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2023). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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This book comprises the proceedings of the 4th International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2023). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.

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