A groundbreaking framework for making better decisions by understanding – and mastering – confidence. What does our desire for certainty and control have to do with our decision-making? According to behavioral economics pioneer Peter Atwater, the answer is simple: everything. In The Confidence Map, Atwater explores the hidden role of confidence in the choices we make, and why events described as being unprecedented are often entirely predictable—if we know what to look for. Using compelling stories from the past and present, Atwater shows readers how to apply the same tools he teaches the world’s leading institutional investors, corporations, and policymakers to help them make sense of complex situations and optimize strategy. You will learn: • How psychological distance consistently affects the choices we make • Why "Me-Here-Now" decision-making is such a powerful force • What happens at confidence peaks that leads to our downfall • The five ways we respond to extreme vulnerability • When consumers' feelings of certainty and control - not price - drive demand The Confidence Map is a book about why we do what we do, where we can and cannot trust our natural instincts, and how we can make sense of a world that too often feels senseless. Whether you’re investing in technology stocks, designing menu items for a fast-food franchise, or running an emergency room, Atwater offers an all-weather guide to avoid psychological traps, spot opportunities, and navigate the road ahead with clarity and purpose.

§vImage processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.

Over the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses. AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges. Such insight may lead to a creative solution only when it is based on a thorough understanding of existing methods and unmet demands. This book focuses on advanced topics in medical imaging modalities, including CT and ultrasound, with the aim of providing practical applications in the healthcare industry. It strikes a balance between mathematical theory, numerical practice, and clinical applications, offering comprehensive coverage from basic to advanced levels of mathematical theories, deep learning techniques, and algorithm implementation details. Moreover, it provides in-depth insights into the latest advancements in dental cone-beam CT, fetal ultrasound, and bioimpedance, making it an essential resource for professionals seeking to stay up-to-date with the latest developments in the field of medical imaging.

This book gathers the proceedings of the Sixth International Conference on Computational Science and Technology 2019 (ICCST2019), held in Kota Kinabalu, Malaysia, on 29–30 August 2019. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.

"With foreword by Robert R. Prechter"--Cover. - "Minyanville"--Cover

This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022. The 67 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.