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024 7 _a10.1007/978-981-99-9445-8
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050 4 _aTA169-169.3
072 7 _aUK
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100 1 _aVishnevsky, Vladimir M.
_eauthor.
_0(orcid)0000-0001-7373-4847
_1https://orcid.org/0000-0001-7373-4847
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972639
245 1 0 _aReliability Assessment of Tethered High-altitude Unmanned Telecommunication Platforms
_h[electronic resource] :
_bk-out-of-n Reliability Models and Applications /
_cby Vladimir M. Vishnevsky, Dharmaraja Selvamuthu, Vladimir Rykov, Dmitry V. Kozyrev, Nika Ivanova, Achyutha Krishnamoorthy.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXX, 167 p. 58 illus., 42 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aInfosys Science Foundation Series in Mathematical Sciences,
_x2364-4044
505 0 _aChapter 1 On tethered high-altitude unmanned telecommunication platforms -- Chapter 2 Reliability function of a complex k-out-of-n model -- Chapter 3 Reliability characteristics for repairable k-out-of-n model -- Chapter 4 Preventive maintenance for k-out-of-n model -- Chapter 5 New approaches to reliability investigation of k-out-of-n models.
520 _aThis book provides a systematic presentation of the major results in the field of the theory of k-out-of-n systems obtained in recent years and their applications for the reliability assessment of high-altitude unmanned platforms. Mathematical models, methods, and algorithms, presented in the book, will make a significant contribution to the development of reliability theory and the theoretical foundations of unmanned UAV-based aerial communications networks in the framework of the concept of creating the 5G and beyond networks. The book gives a description of new mathematical methods and approaches (based on decomposable semi-regenerative processes, simulation and machine learning methods, and inventory models) to the study of the complex k-out-of-n systems, which makes it possible to carry out numerical calculations of reliability indicators. Organized into five chapters, each chapter begins with a summary of the main definitions and results contained in the chapter. The content of this book is based on the original results developed by the authors, many of which appear for the first time in book form.
650 0 _aComputers.
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650 0 _aProbabilities.
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650 0 _aQueuing theory.
_972640
650 0 _aNeural networks (Computer science) .
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650 1 4 _aHardware Performance and Reliability.
_971397
650 2 4 _aProbability Theory.
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650 2 4 _aQueueing Theory.
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650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
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700 1 _aSelvamuthu, Dharmaraja.
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700 1 _aRykov, Vladimir.
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700 1 _aKozyrev, Dmitry V.
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700 1 _aIvanova, Nika.
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700 1 _aKrishnamoorthy, Achyutha.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aInfosys Science Foundation Series in Mathematical Sciences,
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_969688
856 4 0 _uhttps://doi.org/10.1007/978-981-99-9445-8
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