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International Conference on Signal, Machines, Automation, and Algorithm [electronic resource] : Proceedings of SIGMAA 2023, Volume 2 / edited by Hasmat Malik, Sukumar Mishra, Y. R. Sood, Fausto Pedro García Márquez, Taha Selim Ustun.

Contributor(s): Material type: TextSeries: Advances in Intelligent Systems and Computing ; 1461Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: LIV, 841 p. 417 illus., 344 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819763528
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q342
Online resources:
Contents:
Computational Analysis of Autoclaved Aerated Concrete block walls for heat optimization: A case study of Frank & Debbie Islam management complex, Aligarh Muslim University, Aligarh India -- Power quality disturbance classification based on advanced auto encoder networks -- A Novel Approach in Estimating Wirelength in VLSI Placement Using Machine Learning -- Production of Wood Plastic Composites -- AN APPROACH FOR DAM MONITORING AND ALERTING SYSTEM USING IOT. .
In: Springer Nature eBookSummary: This book is a set of best quality peer-reviewed innovative research papers from the International Conference on Signals, Machines, Automation and Algorithm (SIGMAA 2023), held at Shoolini University, India, during 15–16 December 2023 in hybrid mode. This book has originality of work with the innovative ideas regarding artificial intelligence (AI) and its applications in the field of communication, computing, and power technologies.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Computational Analysis of Autoclaved Aerated Concrete block walls for heat optimization: A case study of Frank & Debbie Islam management complex, Aligarh Muslim University, Aligarh India -- Power quality disturbance classification based on advanced auto encoder networks -- A Novel Approach in Estimating Wirelength in VLSI Placement Using Machine Learning -- Production of Wood Plastic Composites -- AN APPROACH FOR DAM MONITORING AND ALERTING SYSTEM USING IOT. .

This book is a set of best quality peer-reviewed innovative research papers from the International Conference on Signals, Machines, Automation and Algorithm (SIGMAA 2023), held at Shoolini University, India, during 15–16 December 2023 in hybrid mode. This book has originality of work with the innovative ideas regarding artificial intelligence (AI) and its applications in the field of communication, computing, and power technologies.

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