Qinghua Peng's Books

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

By: Qinghua Peng,Cara O. Frank,Portia Barnblatt

Write a review Read reviews Take a Quiz Solve Book Puzzle

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

By: Qinghua Peng,Cara O. Frank,Portia Barnblatt

Eye, Ear, Nose and Throat Disorders include many of the most common conditions encountered in clinical practice, affecting women and men , children and the elderly equally. This book is designed primarily for overseas readers. It aims to provide real-life case studies and references for teachers and students of international TCM, acupuncture colleges, acupuncturists, and biomedical doctors who are interested in TCM and acupuncture. It is also geared to the general reader to familiarize them with the advantages of treating ophthalmic and otolaryngological disorders with TCM. This book is practical and is highly readability. It took more than two years to complete. During the writing process, there were many group discussions where the book was reviewed and revised. However, despite the authors’ best efforts, this book is still a work on progress. We invite the readers to send their comments, corrections and suggestions to supplement, amend, and improve when reprinted.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

655

Publisher

PMPH-USA

Published Date

ISBN 10

7117198214

ISBN 13

9787117198219

LiDAR Principles, Processing and Applications in Forest Ecology

By: Qinghua Guo,Yanjun Su,Tianyu Hu

Write a review Read reviews Take a Quiz Solve Book Puzzle

LiDAR Principles, Processing and Applications in Forest Ecology

By: Qinghua Guo,Yanjun Su,Tianyu Hu

LiDAR Principles, Processing and Applications in Forest Ecology introduces the principles of LiDAR technology and explains how to collect and process LiDAR data from different platforms based on real-world experience. The book provides state-of the-art algorithms on how to extract forest parameters from LiDAR and explains how to use them in forest ecology. It gives an interdisciplinary view, from the perspective of remote sensing and forest ecology. Because LiDAR is still rapidly developing, researchers must use programming languages to understand and process LiDAR data instead of established software. In response, this book provides Python code examples and sample data. Sections give a brief history and introduce the principles of LiDAR, as well as three commonly seen LiDAR platforms. The book lays out step-by-step coverage of LiDAR data processing and forest structure parameter extraction, complete with Python examples. Given the increasing usefulness of LiDAR in forest ecology, this volume represents an important resource for researchers, students and forest managers to better understand LiDAR technology and its use in forest ecology across the world. The title contains over 15 years of research, as well as contributions from scientists across the world. - Presents LiDAR applications for forest ecology based in real-world experience - Lays out the principles of LiDAR technology in forest ecology in a systematic and clear way - Provides readers with state-of the-art algorithms on how to extract forest parameters from LiDAR - Offers Python code examples and sample data to assist researchers in understanding and processing LiDAR data - Contains over 15 years of research on LiDAR in forest ecology and contributions from scientists working in this field across the world

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

510

Publisher

Academic Press

Published Date

ISBN 10

0128242116

ISBN 13

9780128242117

Responsible AI

Best Practices for Creating Trustworthy AI Systems

By: CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu

Write a review Read reviews Take a Quiz Solve Book Puzzle

Responsible AI

Best Practices for Creating Trustworthy AI Systems

By: CSIRO,Qinghua Lu,Liming Zhu,Jon Whittle,Xiwei Xu

THE FIRST PRACTICAL GUIDE FOR OPERATIONALIZING RESPONSIBLE AI ̃FROM MUL TI°LEVEL GOVERNANCE MECHANISMS TO CONCRETE DESIGN PATTERNS AND SOFTWARE ENGINEERING TECHNIQUES. AI is solving real-world challenges and transforming industries. Yet, there are serious concerns about its ability to behave and make decisions in a responsible way. Operationalizing responsible AI is about providing concrete guidelines to a wide range of decisionmakers and technologists on how to govern, design, and build responsible AI systems. These include governance mechanisms at the industry, organizational, and team level; software engineering best practices; architecture styles and design patterns; system-level techniques connecting code with data and models; and trade-offs in design decisions. Responsible AI includes a set of practices that technologists (for example, technology-conversant decision-makers, software developers, and AI practitioners) can undertake to ensure the AI systems they develop or adopt are trustworthy throughout the entire lifecycle and can be trusted by those who use them. The book offers guidelines and best practices not just for the AI part of a system, but also for the much larger software infrastructure that typically wraps around the AI. First book of its kind to cover the topic of operationalizing responsible AI from the perspective of the entire software development life cycle. Concrete and actionable guidelines throughout the lifecycle of AI systems, including governance mechanisms, process best practices, design patterns, and system engineering techniques. Authors are leading experts in the areas of responsible technology, AI engineering, and software engineering. Reduce the risks of AI adoption, accelerate AI adoption in responsible ways, and translate ethical principles into products, consultancy, and policy impact to support the AI industry. Online repository of patterns, techniques, examples, and playbooks kept up-to-date by the authors. Real world case studies to demonstrate responsible AI in practice. Chart the course to responsible AI excellence, from governance to design, with actionable insights and engineering prowess found in this defi nitive guide.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

425

Publisher

Addison-Wesley Professional

Published Date

ISBN 10

0138073880

ISBN 13

9780138073886

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

By: Qinghua Peng,Cara O. Frank,Portia Barnblatt

Write a review Read reviews Take a Quiz Solve Book Puzzle

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

By: Qinghua Peng,Cara O. Frank,Portia Barnblatt

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

655

Publisher

PMPH-USA

Published Date

ISBN 10

7117198214

ISBN 13

9787117198219

Book's by Qinghua Peng

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

LiDAR Principles, Processing and Applications in Forest Ecology

LiDAR Principles, Processing and Applications in Forest Ecology

Responsible AI

Responsible AI

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

TCM Case Studies: Eye, Ear, Nose and Throat Disorders

Username

Password

Username

Password

Password again

Birthday

Email