Learn Google Photos 2020 Color Edition PDF Download

Author: Chris Guld
Publisher:
ISBN:
Category :
Languages : en
Pages : 169

View

Book Description
Learn Google Photos will give you everything you need to finally get your lifetime of photo and video memories in one place. Then you can then use the powerful tools to edit, organize, and share them. All for free. Chris Guld, Mrs. Geek, is a Platinum Level Product Expert for Google Photos.

Author: Ruidan Su
Publisher: Springer Nature
ISBN: 9811638802
Category : Technology & Engineering
Languages : en
Pages : 447

View

Book Description
This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.

Author: Annie Uthra R.
Publisher: Springer Nature
ISBN: 3031689089
Category :
Languages : en
Pages : 527

View

Book Description

Author: Jinzhong Yang
Publisher: CRC Press
ISBN: 1000376346
Category : Science
Languages : en
Pages : 247

View

Book Description
This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations). This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use. Features: Up-to-date with the latest technologies in the field Edited by leading authorities in the area, with chapter contributions from subject area specialists All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine

Author: Mohammad Ayoub Khan
Publisher: Academic Press
ISBN: 0323906680
Category : Business & Economics
Languages : en
Pages : 332

View

Book Description
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. - Addresses the technology of smart agriculture from a technical perspective - Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop - Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

Author: Jian Yao
Publisher: Springer Nature
ISBN: 9811669635
Category : Technology & Engineering
Languages : en
Pages : 1174

View

Book Description
This book is a collection of the papers accepted by the ICIVIS 2021—The International Conference on Image, Vision and Intelligent Systems held on June 15–17, 2021, in Changsha, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.

Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3031039181
Category : Technology & Engineering
Languages : en
Pages : 708

View

Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

Author: Debnath Mookherjee
Publisher: Springer Nature
ISBN: 9811987262
Category : Science
Languages : en
Pages : 612

View

Book Description
In the context of mounting challenges stemming from a rapid transformation of the urban-regional landscapes in many Asian countries, this book highlights a multifaceted array of issues that increasingly engage the academic and planning communities in search of viable solutions to complex problems facing us. Even though cities continue to dominate development studies, urbanization of Asia is evolving toward a hybrid urban-rural nexus beyond the cities. This volume considers these shifting dynamics of Asian urbanization, including urban spatial transformations and their ramifications in the context of sustainability and planning. Through the lens of a set of empirical studies across diverse disciplines, geographies and methodologies. yet with an overarching concern for sustainability in varied (but interconnected) areas such as climate change, land use planning, infrastructure and urban mobility, and quality of life, these studies examine a range of important topics (e.g., flooding, transportation, housing, open space/ green space, urban garden and such) in city/regional settings. Together, they add insights into varied transformational processes or patterns at work on the urban-regional landscapes in a number of Asian countries while offering innovative approaches or alternatives. The proposed volume fills a gap in urban/regional studies in context of South and Southeast Asia that will be of interest to all stakeholders (e.g., planners, administrators, academicians and the citizenry), particularly those interested in sustainability and planning paradigms. It should be a timely and valuable addition to the Asian urbanization literature.

Author: Hassan, Ahdi
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 413

View

Book Description
The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise due to increased digitization. Federated Learning and AI for Healthcare 5.0 offers solutions, explaining cloud computing's role in managing data and advocating for security measures. It explores federated learning's use in maintaining data privacy during analysis, presenting practical cases for implementation. The book also addresses emerging tech like quantum computing and blockchain-based services, envisioning an innovative Healthcare 5.0. It empowers healthcare professionals, IT experts, and data scientists to leverage these technologies for improved patient care and system efficiency, making Healthcare 5.0 secure and patient centric.

Author: Rowel Atienza
Publisher: Packt Publishing Ltd
ISBN: 183882572X
Category : Computers
Languages : en
Pages : 513

View

Book Description
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsNew coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentationCompletely updated for TensorFlow 2.xBook Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects. Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques. Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance. Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI. What you will learnUse mutual information maximization techniques to perform unsupervised learningUse segmentation to identify the pixel-wise class of each object in an imageIdentify both the bounding box and class of objects in an image using object detectionLearn the building blocks for advanced techniques - MLPss, CNN, and RNNsUnderstand deep neural networks - including ResNet and DenseNetUnderstand and build autoregressive models – autoencoders, VAEs, and GANsDiscover and implement deep reinforcement learning methodsWho this book is for This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be helpful. Knowledge of Keras or TensorFlow 2.0 is not required but is recommended.