Imager's Challenge
Author | : L. E. Modesitt, Jr. |
Publisher | : Macmillan |
Total Pages | : 580 |
Release | : 2010-09-28 |
Genre | : Fiction |
ISBN | : 9780765360908 |
The second big novel in the Imager Portfolio, in a world where magic rules in secret
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Author | : L. E. Modesitt, Jr. |
Publisher | : Macmillan |
Total Pages | : 580 |
Release | : 2010-09-28 |
Genre | : Fiction |
ISBN | : 9780765360908 |
The second big novel in the Imager Portfolio, in a world where magic rules in secret
Author | : Charlie Naebeck |
Publisher | : Coffee x Cameras |
Total Pages | : 386 |
Release | : 2023-12-16 |
Genre | : Computers |
ISBN | : |
Embark on a Journey of Self-Discovery and Creative Expression!About the Book: Dive into the Coffee x Cameras "Ink and Images Challenge Guide," an innovative eBook designed to inspire mindfulness, self-exploration, and artistic expression. This unique guide combines the timeless art of journaling with the dynamic world of photography, offering 365 thoughtfully crafted prompts for each day of the year. What You'll Discover: Daily Writing Prompts: Engage in introspective writing exercises using your favorite fountain pen and journal. Each prompt is carefully curated to encourage deep reflection and personal growth. Photography Challenges: Complement your writing journey with daily photography tasks. Whether you're a seasoned photographer or just starting, these challenges will help you see the world through a new lens. Field notes Section: A dedicated space accompanies each prompt, allowing you to jot down reflections, observations, and breakthroughs. This personalized touch turns your eBook into a cherished keepsake of your year-long journey. Exclusive Early Access: Be among the first to embark on this transformative journey. Preordering ensures you receive your copy as soon as it's released. Special Price: Enjoy a discounted rate exclusive to our customers as a token of our appreciation for your early support. Perfect For: Individuals seeking a meaningful and creative self-exploration journey. Journaling enthusiasts and photography lovers looking for a structured yet flexible creative outlet. Anyone looking to cultivate mindfulness and presence in their daily life.
Author | : Jamis Buck |
Publisher | : |
Total Pages | : 292 |
Release | : 2019 |
Genre | : Computers |
ISBN | : 9781680502718 |
Brace yourself for a fun challenge: build a photorealistic 3D renderer from scratch! In just a couple of weeks, build a ray tracer that renders beautiful scenes with shadows, reflections, refraction effects, and subjects composed of various graphics primitives: spheres, cubes, cylinders, triangles, and more. With each chapter, implement another piece of the puzzle and move the renderer forward. Use whichever language and environment you prefer, and do it entirely test-first, so you know it's correct.
Author | : L. E. Modesitt, Jr. |
Publisher | : Macmillan |
Total Pages | : 516 |
Release | : 2009-03-17 |
Genre | : Fiction |
ISBN | : 1429962313 |
The Imager Porfolio is a bestselling and innovative epic fantasy series from L. E. Modesitt, Jr. that RT Book Reviews says “shines with engrossing characters, terrific plotting, and realistic world-building.” Begin the journey with Imager. Rhennthyl, son of a leading wool merchant in L'Excelsis, the capital of Solidar, has his entire life transformed when his master patron is killed in a flash fire, and Rhenn discovers he is an imager–-one of the few in the entire world of Terahnar who can visualize things and make them real. The Imager Portfolio #1 Imager / #2 Imager’s Challenge / #3 Imager’s Intrigue / #4 Scholar / #5 Princeps / #6 Imager’s Battalion / #7 Antiagon Fire / #8 Rex Regis / #9 Madness in Solidar / #10 Treachery’s Tools / #11 Assassin’s Price/#12 Endgames Other series by this author: The Saga of Recluce The Corean Chronicles The Spellsong Cycle The Ghost Books The Ecolitan Matter At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
Author | : Jamie McGhee |
Publisher | : Augsburg Fortress Publishers |
Total Pages | : 219 |
Release | : 2022-06-14 |
Genre | : Social Science |
ISBN | : 1506478948 |
It is not enough to hold progressive views on racial justice, LGBTQ+ identity, and economic inequality. Through a rich examination of James Baldwin's writing and interviews, You Mean It or You Don't spurs today's progressives from conviction to action, from dreaming of justice to living it out in our communities, churches, and neighborhoods.
Author | : Philip S. Harrington |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2010-10-21 |
Genre | : Science |
ISBN | : 113949368X |
Listing more than 500 sky targets, both near and far, in 187 challenges, this observing guide will test novice astronomers and advanced veterans alike. Its unique mix of Solar System and deep-sky targets will have observers hunting for the Apollo lunar landing sites, searching for satellites orbiting the outermost planets, and exploring hundreds of star clusters, nebulae, distant galaxies, and quasars. Each target object is accompanied by a rating indicating how difficult the object is to find, an in-depth visual description, an illustration showing how the object realistically looks, and a detailed finder chart to help you find each challenge quickly and effectively. The guide introduces objects often overlooked in other observing guides and features targets visible in a variety of conditions, from the inner city to the dark countryside. Challenges are provided for the naked eye, through binoculars and the largest backyard telescopes.
Author | : Anubha Gupta |
Publisher | : Springer Nature |
Total Pages | : 150 |
Release | : 2019-11-28 |
Genre | : Medical |
ISBN | : 9811507988 |
This book comprises select peer-reviewed proceedings of the medical challenge - C-NMC challenge: Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images. The challenge was run as part of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI) 2019 held at Venice, Italy in April 2019. Cell classification via image processing has recently gained interest from the point of view of building computer-assisted diagnostic tools for blood disorders such as leukaemia. In order to arrive at a conclusive decision on disease diagnosis and degree of progression, it is very important to identify malignant cells with high accuracy. Computer-assisted tools can be very helpful in automating the process of cell segmentation and identification because morphologically both cell types appear similar. This particular challenge was run on a curated data set of more than 14000 cell images of very high quality. More than 200 international teams participated in the challenge. This book covers various solutions using machine learning and deep learning approaches. The book will prove useful for academics, researchers, and professionals interested in building low-cost automated diagnostic tools for cancer diagnosis and treatment.
Author | : Oge Marques |
Publisher | : CRC Press |
Total Pages | : 157 |
Release | : 2024-02-12 |
Genre | : Computers |
ISBN | : 1003836445 |
Artificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows. This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration. This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI’s clinical applications, and anyone interested in the intersection of healthcare and technology.
Author | : Adrien Bartoli |
Publisher | : Springer Nature |
Total Pages | : 786 |
Release | : 2021-01-29 |
Genre | : Computers |
ISBN | : 3030670708 |
The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part III includes the Advances in Image Manipulation Workshop and Challenges.
Author | : Chad Brenner |
Publisher | : MDPI |
Total Pages | : 418 |
Release | : 2019-11-20 |
Genre | : Medical |
ISBN | : 3039217887 |
This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.