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E-BooksGrowth Curve Models and Statistical Diagnostics



Growth Curve Models and Statistical Diagnostics
Free Download Growth Curve Models and Statistical Diagnostics by Jian-Xin Pan , Kai-Tai Fang
English | PDF | 2002 | 405 Pages | ISBN : 0387950532 | 29.4 MB
Growth-curve models are generalized multivariate analysis-of-variance models. These models are especially useful for investigating growth problems on short times in economics, biology, medical research, and epidemiology. This book systematically introduces the theory of the GCM with particular emphasis on their multivariate statistical diagnostics, which are based mainly on recent developments made by the authors and their collaborators. The authors provide complete proofs of theorems as well as practical data sets and MATLAB code.



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E-BooksAccelerated Windows API for Software Diagnostics With Category Theory in View



Accelerated Windows API for Software Diagnostics  With Category Theory in View
Accelerated Windows API for Software Diagnostics
by Dmitry Vostokov

English | 2022 | ISBN-10 : 1912636638, ISBN-13 : 978-1912636631 | 305 Pages | PDF | 13 MB



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E-BooksZagirnyak M The Diagnostics of Induction Motor Broken Rotor Bars 2018




Zagirnyak M  The Diagnostics of Induction Motor Broken Rotor Bars   2018

Zagirnyak M The Diagnostics of Induction Motor Broken Rotor Bars 2018 | 6.45 MB
N/A | 205 Pages

Title: The Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis
Author: Author Unknown
Year: 2020




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E-BooksThe Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis



The Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis
The Diagnostics of Induction Motor Broken Rotor Bars on the Basis of the Electromotive Force Analysis
by Author Unknown

English | 2018 | ISBN: 1536126837 | 205 pages | True PDF | 6.45 MB



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E-BooksPocket Guide to Gene Level Diagnostics in Clinical Practice



Pocket Guide to Gene Level Diagnostics in Clinical Practice
Victor A. Bernstam, "Pocket Guide to Gene Level Diagnostics in Clinical Practice"
English | 2019 | pages: 561 | ISBN: 1138430129, 0849344859 | PDF | 46,9 mb
Pocket Guide to Gene Level Diagnostics in Clinical Practice is an abbreviated, pocket-size, quick-reference guide that provides a point-by-point synopsis of the vast wealth of information contained in CRC Handbook of Gene Level Diagnostics in Clinical Practice. All sections and subsections in the Pocket Guide are cross-referenced to corresponding pages in the Handbook. The book works well on its own as a quick reference, but also can be used in conjunction with the larger Handbook for detailed coverage and references to specific information.



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E-BooksDeep Learning in Cancer Diagnostics



Deep Learning in Cancer Diagnostics
Deep Learning in Cancer Diagnostics: A Feature-Based Transfer Learning Evaluation
English | 2023 | ISBN: 9811989362 | 69 Pages | PDF EPUB (True) | 7 MB
Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer.



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E-BooksRecent Advances in Cancer Diagnostics and Therapy



Recent Advances in Cancer Diagnostics and Therapy
Recent Advances in Cancer Diagnostics and Therapy: A Nano-Based Approach
English | 2022 | ISBN: 1032062177 | 219 Pages | PDF (True) | 8 MB
This book provides information about different types and stages of cancer and their subtypes with their respective molecular mechanisms, etiology, histopathology, and cellular origins. This book also provides detailed information about cancer incidence, mortality, and different types of technologies both bio and nano employed in cancer diagnosis and screening, and their applications in cancer therapies. This book informs readers about molecular mechanisms of cancer, diagnosis, and therapies along with different computational techniques used on a single platform.



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E-BooksNeutral-atom Astronomy Plasma Diagnostics From The Aurora To The Interstellar Medium



Neutral-atom Astronomy Plasma Diagnostics From The Aurora To The Interstellar Medium
Neutral-atom Astronomy: Plasma Diagnostics From The Aurora To The Interstellar Medium
by Hsieh, Ke Chiang;Mobius, Eberhard;

English | 2022 | ISBN: 9813279192 | 328 pages | True PDF EPUB | 55.08 MB



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E-BooksLow-Cost Veterinary Clinical Diagnostics



Low-Cost Veterinary Clinical Diagnostics
Low-Cost Veterinary Clinical Diagnostics
by Dial, Sharon M.;Englar, Ryane E.;, Sharon M. Dial

English | 2022 | ISBN: 1119714508 | 367 pages | True PDF EPUB | 150.68 MB



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E-BooksBreath Analysis An Approach for Smart Diagnostics



Breath Analysis An Approach for Smart Diagnostics
Breath Analysis
by Stefan Weigl

English | 2023 | ISBN: 3031185250 | 248 pages | True PDF EPUB | 22.66 MB
This volume highlights the potentials as well as the limits and challenges of human breath analysis and describes the current efforts made to advance this promising technology from bench to bed. Human breath analysis is a young, interdisciplinary and innovative research field aiming to provide a smart and non-invasive diagnostic tool, which can be used for screening, detecting and monitoring of diseases or metabolic disorders. This book presents different approaches for breath analysis including real-time and offline mass spectrometry as well as optical and semiconductor gas sensing methods. Besides, the role of smart algorithms to improve the performance of those technologies and the importance of pulmonary function diagnostics for more reliable and meaningful breath analysis are highlighted. Finally, current application scenarios and future perspectives of breath analysis and pulmonary functioning tests are addressed.



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