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Innovations and Advances in Cognitive Systems [electronic resource] : ICIACS 2024, Volume 1 / edited by S. D. Prabu Ragavendiran, Vasile Daniel Pavaloaia, M. S. Mekala, Antonio Sarasa Cabezuelo.

Contributor(s): Material type: TextSeries: Information Systems Engineering and Management ; 15Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XII, 503 p. 320 illus., 273 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031691973
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q342
Online resources:
In: Springer Nature eBookSummary: This book is a collection of carefully selected quality research contributions that report the advances in Artificial Intelligence (AI). Composed of 37 individual research chapters, this book explores how AI is transforming health care, agriculture, security, image processing, and more to describe how artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies improve patient care, enhance agriculture, develop smarter transportation systems, and automate tasks across industries. This book is for researchers, professionals, and enthusiasts who want to understand the future of AI and its potential applications. It also serves as a valuable resource for professionals who are seeking to understand how AI will impact their industry, or tech enthusiasts captivated by the potential of this transformative technology.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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This book is a collection of carefully selected quality research contributions that report the advances in Artificial Intelligence (AI). Composed of 37 individual research chapters, this book explores how AI is transforming health care, agriculture, security, image processing, and more to describe how artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies improve patient care, enhance agriculture, develop smarter transportation systems, and automate tasks across industries. This book is for researchers, professionals, and enthusiasts who want to understand the future of AI and its potential applications. It also serves as a valuable resource for professionals who are seeking to understand how AI will impact their industry, or tech enthusiasts captivated by the potential of this transformative technology.

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