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Measurement and Data Science
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From £32.99

Measurement and Data Science

Edited By: Gábor Péceli

From £32.99

This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.

Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission,…
From £32.99
From £32.99
Read sample
1-5275-6071-6 , , , ,
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Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission, storage and processing capabilities available and embedded everywhere. Thanks to the unbelievable amount of recorded information and the theoretical results of measurement and data science, a great deal of newly developed products invade our surroundings and enable previously unconceivable smart services and support.

This volume consists of a number of chapters covering the scientific results of researchers working in this field at the Department of Measurement and Information Systems of the Budapest University of Technology and Economics, Hungary. The book reports research results attained by carefully combining some of the classical theories of measurement and data processing. These new approaches and methods contribute to higher quality measurement design and measured data evaluation, and provide hints to find efficient implementations for instrumentation.

Gábor Péceli received his Electrical Engineering degree from the Technical University of Budapest in 1974, and his Doctor of Technical Sciences degree from the Hungarian Academy of Sciences in 1989. He is Life Fellow of the Institute of Electrical and Electronics Engineering and a Member of the Hungarian Academy of Sciences. He served as Chair of the Department of Measurement and Information Systems of the Technical University of Budapest for 20 years. His research interests include measurement and signal processing structures and embedded adaptive systems.

Tadeusz Dobrowiecki, Vilmos Palfi, Balazs Renczes, Laszlo Sujbert, Tamas Virosztek, Tamas Daboczi

Hardback

  • ISBN: 1-5275-6071-6
  • ISBN13: 978-1-5275-6071-0
  • Date of Publication: 2021-01-19

Paperback

  • ISBN: 1-0364-2674-2
  • ISBN13: 978-1-0364-2674-3
  • Date of Publication: 2024-12-13

Ebook

  • ISBN: 1-5275-6426-6
  • ISBN13: 978-1-5275-6426-8
  • Date of Publication: 2024-12-13
, , , ,
375

Subject Codes:

  • BIC: UB, TBMM, TJFM
  • THEMA: UB, TBMM, TJFM
375

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