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AI, Machine Learning, and IoT for Communication and Medical Applications

  • SKN Sinhgad College of Engineering
    ,
  • Istinye University
    ,
  • Symbiosis International University
Research Output:
Chapter in Book/Report/Conference proceeding
Chapter
Research
Peer-review

Abstract

The integration of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) into communication and healthcare systems presents a complex array of challenges. From data security and privacy concerns to ethical dilemmas and the need for regulatory frameworks, the adoption of these transformative technologies requires careful consideration and expertise. Additionally, the rapid pace of technological advancement often needs to improve the understanding and implementation of these innovations, leading to inefficiencies and missed opportunities in communication and medical practices.

Research Output Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Chapter
Research
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-381 (381 pages)

Publication milestones

  • Published - 2026

Publication status

Published - 2026

Publisher

IGI Global
9798369338643, 9798369348802

ISBN (Electronic)

9798369338650

Publication IDs

  • Scopus: 105032856908

Host publication title

Coresource 4

Publication metrics

Metrics

SciVal
FWCI
19.61
Scopus
citations

PlumX

Captures
1
Citation count
3