Products related to Vision:
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Healthcare Industry 4.0 : Computer Vision-Aided Data Analytics
This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection.Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing.It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring. Features:Provides a state-of-the-art computer vision application in the digital health care industryReviews advances in computer vision and data science technologies for analyzing information on human function and disabilityIncludes practical implementation of computer vision application using recent tools and softwareExplores computer vision-enabled medical/clinical data security in the cloudIncludes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and GoogleThis book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.
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Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.
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Spatial Analysis with R : Statistics, Visualization, and Computational Methods
In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
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Spatial Epidemiological Approaches in Disease Mapping and Analysis
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries.Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data.Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.
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What is spatial vision?
Spatial vision refers to the ability of the visual system to perceive and interpret the spatial relationships between objects in the environment. It allows us to understand the size, shape, distance, and location of objects in our surroundings. Spatial vision is essential for tasks such as navigating through space, interacting with objects, and judging depth and perspective. It is a complex process that involves the integration of visual information from both eyes to create a coherent representation of the three-dimensional world.
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Don't you have spatial vision?
As an AI, I do not have physical senses or spatial vision like humans do. My capabilities are based on processing and analyzing information provided to me through text input. While I can understand and respond to questions about spatial concepts, my understanding is limited to the information I have been programmed with.
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How does spatial vision develop?
Spatial vision develops through a combination of genetic factors, environmental influences, and experience. Infants are born with basic visual abilities, but their spatial vision continues to develop and improve over time as they explore their environment, interact with objects, and receive visual input. As children grow and their brains mature, they become better at processing and interpreting visual information, which allows them to perceive and understand spatial relationships more accurately. Practice and exposure to a variety of visual stimuli also play a crucial role in the development of spatial vision, helping children to refine their visual skills and enhance their ability to navigate and interact with the world around them.
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Do you not have spatial vision?
As an AI, I do not have physical senses or spatial vision like humans do. I rely on the information provided to me through text input and data processing to generate responses. My capabilities are limited to processing and analyzing text-based information to provide accurate and helpful answers.
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Crime Mapping and Spatial Data Analysis using R
Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.
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Cable adapter Vision Vision Metron
The Vision Metron cable adapter is an essential accessory for tous avid cyclists. Designed by the renowned brand Vision, this cable adapter is specially engineered to enhance your bike's performance and provide you with an optimal cycling experience.This product is ideal for cyclists of tous levels, whether professionals or beginners. Thanks to its superior quality and reliability, the Vision Metron cable adapter will enable you to make the most of your training sessions and races.Made from high-quality materials, this cable adapter is designed to withstand daily wear and tear and the most extreme conditions. Whether you're riding on paved roads or mountain trails, this accessory will be your ally for a smooth, carefree ride.Not only is the Vision Metron cable adapter durable, it also offers great convenience. Thanks to its ergonomic design, it's easy to install and use. What's more, it's lightweight and compact, so you can easily carry it in your sac bike and take it with you wh...
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An Introduction to R for Spatial Analysis and Mapping
The ever-expanding availability of spatial data continues to revolutionise research.This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data. Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing functions to point pattern analysis and spatial attribute analysis. The book:Illustrates approaches to analysis on a range of datasets that are new to this edition. Enables you to put your skills into practice with embedded exercises and over 30 self-test questions. Showcases the possibilities of using spatial analysis to explore spatial inequalities. Whether you’re an R novice or experienced user, this book equips upper undergraduates, postgraduates and researchers with the tools needed for spatial data handling and rich analysis.
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Vision
Price: 24.49 £ | Shipping*: 3.99 £
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What is meant by spatial vision?
Spatial vision refers to the ability of the visual system to perceive and interpret the spatial relationships and positions of objects in the environment. It involves the perception of depth, distance, size, and shape of objects, as well as the ability to navigate and interact with the surrounding space. Spatial vision is essential for tasks such as judging distances, recognizing objects, and coordinating movements in the environment. It is a complex process that involves the integration of visual information from both eyes and the brain's interpretation of that information.
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Can missing spatial vision be compensated for by spatial imagination?
While spatial imagination can help individuals navigate and understand their surroundings to some extent, it may not fully compensate for missing spatial vision. Spatial imagination relies on mental imagery and memory, which may not always accurately represent the physical environment. Missing spatial vision can impact an individual's ability to perceive depth, distance, and obstacles in their surroundings, which may not be fully compensated for by imagination alone. However, individuals can develop strategies and adaptive skills to enhance their spatial awareness and compensate for their visual impairment to some degree.
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At what distance does spatial vision cease?
Spatial vision, or the ability to see and distinguish objects in detail, typically begins to decline beyond a distance of 20 feet. This is known as the limit of visual acuity, beyond which the ability to discern fine details diminishes. However, the exact distance at which spatial vision ceases can vary depending on individual factors such as age, visual health, and environmental conditions.
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Can you try to explain spatial vision?
Spatial vision refers to the ability of the visual system to perceive and interpret the spatial relationships between objects in the environment. It involves the perception of depth, distance, size, and shape of objects, as well as the ability to navigate and interact with the surrounding space. This process is achieved through the integration of visual information from both eyes, which allows for the perception of three-dimensional space. Spatial vision is essential for tasks such as depth perception, object recognition, and spatial orientation.
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