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Learn Google Photos 2020 Color Edition
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Book Synopsis Learn Google Photos 2020 Color Edition by : Chris Guld
Download or read book Learn Google Photos 2020 Color Edition written by Chris Guld and published by . This book was released on 2020-08-19 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Learn Google Photos 2020 by : Chris Guld
Download or read book Learn Google Photos 2020 written by Chris Guld and published by . This book was released on 2020-08-31 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mrs. Geek's Guide to Google Photos 2nd Edition by : Chris Guld
Download or read book Mrs. Geek's Guide to Google Photos 2nd Edition written by Chris Guld and published by Createspace Independent Publishing Platform. This book was released on 2018-06-25 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Google Photos with this easy to follow 2nd Edition to the Guide. It's been over a year and a half of changes to the apps and how you manage and edit your photos and videos. Google Photos is the best way to save your precious memories for free in your account at Google. It's private to you but easy to share.
Book Synopsis Learn Google Photos 2021 by : Chris Guld
Download or read book Learn Google Photos 2021 written by Chris Guld and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "With Learn Google Photos 2021, you will understand how to gather all the photos from your phone, your computer's hard drives, old CD's, and wherever else you keep your photos and videos."--Page 4 of cover.
Book Synopsis Computational Intelligence for Oncology and Neurological Disorders by : Mrutyunjaya Panda
Download or read book Computational Intelligence for Oncology and Neurological Disorders written by Mrutyunjaya Panda and published by CRC Press. This book was released on 2024-07-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.
Book Synopsis Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) by : Ruidan Su
Download or read book Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) written by Ruidan Su and published by Springer Nature. This book was released on 2021-08-14 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Deep Sciences for Computing and Communications by : Annie Uthra R.
Download or read book Deep Sciences for Computing and Communications written by Annie Uthra R. and published by Springer Nature. This book was released on with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Auto-Segmentation for Radiation Oncology by : Jinzhong Yang
Download or read book Auto-Segmentation for Radiation Oncology written by Jinzhong Yang and published by CRC Press. This book was released on 2021-04-19 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Application of Machine Learning in Agriculture by : Mohammad Ayoub Khan
Download or read book Application of Machine Learning in Agriculture written by Mohammad Ayoub Khan and published by Academic Press. This book was released on 2022-05-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021) by : Jian Yao
Download or read book The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021) written by Jian Yao and published by Springer Nature. This book was released on 2022-03-03 with total page 1174 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.
Book Synopsis The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) by : Aboul Ella Hassanien
Download or read book The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2022-04-16 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Urban Transformational Landscapes in the City-Hinterlands of Asia by : Debnath Mookherjee
Download or read book Urban Transformational Landscapes in the City-Hinterlands of Asia written by Debnath Mookherjee and published by Springer Nature. This book was released on 2023-05-16 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Federated Learning and AI for Healthcare 5.0 by : Hassan, Ahdi
Download or read book Federated Learning and AI for Healthcare 5.0 written by Hassan, Ahdi and published by IGI Global. This book was released on 2023-12-18 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advanced Deep Learning with TensorFlow 2 and Keras by : Rowel Atienza
Download or read book Advanced Deep Learning with TensorFlow 2 and Keras written by Rowel Atienza and published by Packt Publishing Ltd. This book was released on 2020-02-28 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning for Sustainable Development by : Kamal Kant Hiran
Download or read book Machine Learning for Sustainable Development written by Kamal Kant Hiran and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-07-19 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.
Book Synopsis Computer Vision and Machine Learning in Agriculture, Volume 3 by : Jagdish Chand Bansal
Download or read book Computer Vision and Machine Learning in Agriculture, Volume 3 written by Jagdish Chand Bansal and published by Springer Nature. This book was released on 2023-07-31 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
