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Books on the topic 'Clouds Classification'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Welch, Ronald M. The effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset: Semi-annual progress report, period: January-June 1996. [Washington, DC: National Aeronautics and Space Administration, 1996.

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2

Collins, Michael B. Clovis blade technology: A comparative study of the Keven Davis Cache, Texas. Austin: University of Texas Press, 1999.

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3

Haynes, Gary. The early settlement of North America: The Clovis era. New York: Cambridge University Press, 2002.

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4

Thelin, Marta, and Julienne Maheux. Clouds: Classification, Microbiology and Environmental Effects. Nova Science Publishers, Incorporated, 2013.

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5

Cloud classsification from satellite data using a fuzzy sets algorithm: A polar example. [Washington, DC: National Aeronautics and Space Administration, 1989.

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6

M, Welch Ronald, and United States. National Aeronautics and Space Administration., eds. Global single and multiple cloud classification with a fuzzy logic expert system. [Washington, DC: National Aeronautics and Space Administration, 1996.

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7

Professor, Baby. Classification of Clouds Atmosphere, Weather and Climate Grade 5 Children's Science Education Books. Speedy Publishing LLC, 2021.

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8

Professor, Baby. Classification of Clouds Atmosphere, Weather and Climate Grade 5 Children's Science Education Books. Speedy Publishing LLC, 2021.

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9

Series, Michigan Historical Reprint. Storms: Their nature, classification and laws. With the means of predicting them by their embodiments the clouds. Scholarly Publishing Office, University of Michigan Library, 2005.

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10

United States. National Aeronautics and Space Administration., ed. TRMM final report for the first three years of NASA grant NAG5-1586: TRMM-related research tropical rainfall and energy analysis experiment. [Washington, DC: National Aeronautics and Space Administration, 1994.

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11

Cloud classification in polar and desert regions and smoke classification from biomass burning using a hierarchical neural network. [Washington, DC: National Aeronautics and Space Administration, 1996.

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12

M, Welch Ronald, and United States. National Aeronautics and Space Administration., eds. Global single and multiple cloud classification with a fuzzy logic expert system. [Washington, DC: National Aeronautics and Space Administration, 1996.

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13

National Aeronautics and Space Administration (NASA) Staff. Cloud Classification from Satellite Data Using a Fuzzy Sets Algorithm: A Polar Example. Independently Published, 2018.

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14

United States. National Aeronautics and Space Administration., ed. CLOUD CLASSIFICATION IN POLAR AND DESERT REGIONS AND SMOKE CLASSIFICATION FROM BIOMASS BURNING USING A... NASA-CR-204861... OCT. 21, 1997. [S.l: s.n., 1998.

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15

United States. National Aeronautics and Space Administration., ed. The Effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset. [Washington, DC: National Aeronautics and Space Administration, 1992.

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16

United States. National Aeronautics and Space Administration., ed. The effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset. [Washington, DC: National Aeronautics and Space Administration, 1994.

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17

Buscombe, William. MK spectral classifications: Twelfth general catalogue epoch 2000 including UBV photometry, with new data for the membership of the Small Magellanic Cloud and selected galactic glusters. Northwestern University, 1995.

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18

Brower, Andrew V. Z., and Randall T. Schuh. Biological Systematics. 3rd ed. Cornell University Press, 2021. http://dx.doi.org/10.7591/cornell/9781501752773.001.0001.

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Understanding the history and philosophy of biological systematics (phylogenetics, taxonomy and classification of living things) is key to successful practice of the discipline. In this thoroughly revised third edition, the authors provide an updated account of cladistic principles and techniques, emphasizing their empirical and epistemological clarity. The book covers the history and philosophy of systematics; the mechanics and methods of character analysis, phylogenetic inference, and evaluation of results; the practical application of systematic results to biological classification, adaptation and coevolution, biodiversity, and conservation; along with new chapters on species and molecular clocks. The book is both a textbook for students studying systematic biology and a desk reference for practicing systematists. Part explication of concepts and methods, part exploration of the underlying epistemology of systematics, the edition addresses why some methods are more empirically sound than others.

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19

R, Frouin, and United States. National Aeronautics and Space Administration., eds. Analysis of long-term cloud cover, radiative fluxes, and sea surface temperature in the eastern tropical Pacific. [Washington, DC: National Aeronautics and Space Administration, 1996.

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20

R, Frouin, and United States. National Aeronautics and Space Administration., eds. Analysis of long-term cloud cover, radiative fluxes, and sea surface temperature in the eastern tropical Pacific. [Washington, DC: National Aeronautics and Space Administration, 1996.

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21

R, Frouin, and United States. National Aeronautics and Space Administration., eds. Analysis of long-term cloud cover, radiative fluxes, and sea surface temperature in the eastern tropical Pacific. [Washington, DC: National Aeronautics and Space Administration, 1996.

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22

Analysis of long-term cloud cover, radiative fluxes, and sea surface temperature in the eastern tropical Pacific. [Washington, DC: National Aeronautics and Space Administration, 1996.

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23

Webb, Paul D., Thomas Poguntke, and Susan E. Scarrow. Conclusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198758631.003.0013.

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This chapter briefly recaps the findings of this volume, then addresses more general questions concerning the types of organizational patterns that researchers should expect to find, and the most fruitful approaches to understanding the origins and implications of those patterns. The authors review the PPDB data in order to assess the empirical applicability of various well-known ideal-types of parties. They find that only a minority of the cases in the dataset fit into one of these ideal-type categories—even when the bar is set low for such classification. It is argued that the ideal-type approach, while it has its merits, is less useful as a practical guide for empirical research than analytical frameworks based on the key dimensions of party organization—resources, structures, and representational strategies. The chapter closes by emphasizing the very real consequences that the organizational choices made by parties can have for representative democracy.

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24

Madhu, G., Sandeep Kautish, A. Govardhan, and Avinash Sharma, eds. Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150792721220101.

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This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand. Chapters cover the following topics: - A COVID-19 care system for virus precaution, prevention, and treatment - The Internet of Things (IoT) in Telemedicine, - Artificial Intelligence for Remote Patient Monitoring systems - Machine Learning in Telemedicine - Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions - COVID-19 virus contact tracing via mobile apps - IoT and Cloud convergence in healthcare - Lung cancer classification and detection using deep learning - Telemedicine in India This book will assist students, academics, and medical professionals in learning about cutting-edge telemedicine technologies. It will also inform beginner researchers in medicine about upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control and cancer diagnosis.

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25

Sherman, S. Murray, and W. Martin Usrey. Exploring Thalamocortical Interactions. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197503874.001.0001.

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The thalamus and cerebral cortex are active and necessary partners in the processing of signals essential for sensory, motor, and cognitive functions. This partnership is absolute, as neither the thalamus nor the cortex can be understood in any meaningful way in isolation from the other. This book provides readers with fundamental knowledge about the cells and circuits that mediate thalamocortical interactions and then explores new ideas that often challenge conventional understanding. Some of the major themes emphasized throughout the book include the need for a proper classification of thalamocortical and corticothalamic circuits, the role of spike timing for thalamocortical and corticothalamic communication and the mechanisms for modulating spike timing, the organization and function of corticothalamic feedback projections, the role of higher order thalamic nuclei in cortico-cortical communication and cortical functioning, attentional modulation of thalamocortical interactions, and a rethinking of efference copies and distinguishing neural signals as sensory versus motor. Importantly, to encourage readers to think beyond the material and views provided throughout the book, each chapter closes with a section on “Some Outstanding Questions” to stimulate creative approaches to increase our understanding of thalamocortical interactions.

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26

Bhushan, Megha, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, and Arun Negi, eds. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150492511220101.

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Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due to advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart solutions for urban and rural environments. This book is divided into three sections to impart a better understanding of the topics to readers. These sections are: 1) Demystifying smart cities and villages: A traditional perspective, 2) Smart innovations for rural lifestyle management solutions, and 3) Case studies. Through this book, readers will be able to understand various advanced technologies that are vital to the development of smart cities and villages. The book presents 15 chapters that present effective solutions to urban and rural challenges. Concepts highlighted in chapters include smart farms, indoor object classification systems, smart transportation, blockchains for medical information, humanoid robots for rural education, IoT devices for farming, and much more. This book is intended for undergraduate and graduate engineering students across all disciplines, security providers in the IT and related fields, and trainees working for infrastructure management companies. Researchers and consultants at all levels working in the areas of artificial intelligence, machine learning, IoT, blockchain, network security, and cloud computing will also find the contents beneficial for planning projects involving smart environments.

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27

Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.

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Advances in online technology and news systems, such as automated reasoning across digital resources and connectivity to cloud servers for storage and software, have changed digital journalism production and publishing methods. Integrated media systems used by editors are also conduits to search systems and social media, but the lure of big data and rise in fake news have fragmented some layers of journalism, alongside investments in analytics and a shift in the loci for verification. Data has generated new roles to exploit data insights and machine learning methods, but access to big data and data lakes is so significant it has spawned newsworthy partnerships between media moguls and social media entrepreneurs. However, digital journalism does not even have its own semantic systems that could protect the values of journalism, but relies on the affordances of other systems. Amidst indexing and classification systems for well-defined vocabulary and concepts in news, data leaks and metadata present challenges for journalism. By contrast data visualisations and real-time field reporting with short-form mobile media and civilian drones set new standards during the European asylum seeker crisis. Aerial filming with drones also adds to the ontological base of journalism. An ontology for journalism and intersecting ontologies can inform the design of new semantic learning systems. The Semantic CAT Method, which draws on participatory design and game design, also assists the conceptual design of synthetic players with emotion attributes, towards a meta-model for learning. The design of context-aware sensor systems to protect journalists in conflict zones is also discussed.

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