Bayesian reliability
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward.
Basics of PET Imaging : Physics, Chemistry, and Regulations
This unparalleled text on the basics of PET imaging technology is an ideal resource for technologists and residents preparing for board examinations. the book also serves as a useful reference for practicing nuclear medicine professionals. Chapters are concise but comprehensive and emphasize the fundamentals, including physics, instrumentation and data acquisition, image reconstruction, production of PET radionuclides and radiopharmaceuticals, and regulatory and reimbursement issues.
Artificial intelligence based cancer nanomedicine : Diagnostics, therapeutics and bioethics
Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.
Architectural graphics ; Vol.1 : Graphics for analysis
Reports on several advances in architectural graphics, with a special emphasis on education, training, and research. It gathers a selection of contributions to the 19th International Conference on Graphic Design in Architecture, EGA 2022, held on June 2–4, 2022, in Cartagena, Spain, with the motto: "Beyond drawings. The use of architectural graphics".
Advances on testing and experimentation in civil engineering : Materials, structures and buildings
Presents the most recent advances on testing and experimentation in civil engineering, especially in the branches of materials, structures, and buildings, complementing the authors’ publication Advances on Testing and Experimentation in Civil Engineering - Geotechnics, Transportation, Hydraulics and Natural Resources. It includes advances in physical modelling, monitoring techniques, data acquisition and analysis, and provides an invaluable contribution to the installation of new civil engineering experimental facilities.
Advances in Biometrics: Sensors, Algorithms and Systems
This book presents a comprehensive treatment of biometrics and offers coverage of the entire gamut of topics in the field, including data acquisition, pattern-matching algorithms, and issues that impact at the system level, such as standards, security, networks, and databases.
Advances in Biometrics ; International Conference, ICB 2007, Seoul, Korea, August 27-29, 2007, Proceedings
Biometrics technology continues to stride forward with its wider acceptance and its real need in various new security facets of modern society. From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management. This book presents a comprehensive treatment of biometrics and offers coverage of the entire gamut of topics in the field, including data acquisition, pattern-matching algorithms, and issues that impact at the system level, such as standards, security, networks, and databases. It has been organized under three sections: sensors, advances in biometric matching algorithms, and topics that deal with issues at the systems level.






