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Bibliographies thématiques / Human Activity Prediction / Livres

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Livres sur le sujet « Human Activity Prediction »

Auteur : Grafiati

Publié le 15 mars 2025

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1

Fu, Yun, dir. Human Activity Recognition and Prediction. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27004-3.

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2

Human Activity Recognition and Prediction. Springer, 2016.

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3

Fu, Yun. Human Activity Recognition and Prediction. Springer, 2018.

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4

Fu, Yun. Human Activity Recognition and Prediction. Springer London, Limited, 2015.

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5

Andersson, Jenny. The Future as Social Technology. Prediction and the Rise of Futurology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814337.003.0005.

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Chapter 5 examines the experiments at RAND with a new future science, a “general theory of the future” capable of explaining human behavior and developments in the world system. The chapter also proposes that futurology was ultimately a failure, as forms of prediction encountered criticism and led to a discussion within RAND about the epistemological limits of prediction. As RAND researchers came to the conclusion that prediction was logically and empirically impossible, they shifted their interest from predicting actual future developments, to prediction as a “social technology”—a means of actively intervening into the future and shape desirable developments. The chapter zeroes in on the so called Delphi technology, the purpose of which was to conduct an expert driven reflection on a possible wide array of social futures, produce judgments on desirable and undesirable futures, and choose the optimal future.

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Cook, Diane J., et Narayanan C. Krishnan. Activity Learning : Discovering, Recognizing, and Predicting Human Behavior from Sensor Data. Wiley & Sons, Incorporated, John, 2015.

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7

Cook, Diane J., et Narayanan C. Krishnan. Activity Learning : Discovering, Recognizing, and Predicting Human Behavior from Sensor Data. Wiley & Sons, Incorporated, John, 2015.

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8

Cook, Diane J., et Narayanan C. Krishnan. Activity Learning : Discovering, Recognizing, and Predicting Human Behavior from Sensor Data. Wiley & Sons, Limited, John, 2015.

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9

Activity Learning : Discovering, Recognizing, and Predicting Human Behavior from Sensor Data. Wiley, 2015.

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10

Andersson, Jenny. The Future of the World. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814337.001.0001.

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The book is devoted to the intriguing post-war activity called—with different terms—futurism, futurology, future research, or futures studies. It seeks to understand how futurists and futurologists imagined the Cold War and post-Cold War world and how they used the tools and methods of future research to influence and change that world. Forms of future research emerged after 1945 and engaged with the future both as an object of science and as an object of the human imagination. The book carefully explains these different engagements with the future, and inscribes them in the intellectual history of the post-war period. Futurists were a motley crew of Cold War warriors, nuclear scientists, journalists, and peace activists. Futurism also drew on an eclectic range of repertoires, some of which were deduced from positivist social science, mathematics, and nuclear physics, and some of which came from new strands of critical theory in the margins of the social sciences or sprung from alternative forms of knowledge in science fiction, journalism, or religion. Different forms of prediction lay very different claims to how, and with what accuracy, futures could be known, and what kind of control could be exerted over coming and not yet existing developments. Not surprisingly, such different claims to predictability coincided with radically different notions of human agency, of morality and responsibility, indeed of politics.

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Berwick, Robert C., et Edward P. Stabler, dir. Minimalist Parsing. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198795087.001.0001.

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This book is the first dedicated to linguistic parsing—the processing of natural language according to the rules of a formal grammar—in the minimalist framework. While the Minimalist Program has been at the forefront of generative grammar for several decades, it often remains inaccessible to computer scientists and others in adjacent fields. In particular, minimalism reveals a surprising paradox: human language is simpler than we thought, and yet it cannot be processed by the machinery used by computer scientists. In this volume, experts in the field show how to resolve this apparent paradox, and how to turn Chomsky’s abstract theories into working computer programs that can process sentences or make predictions about the time course of brain activity when dealing with language. The book will appeal to graduate students and researchers in formal syntax, computational linguistics, psycholinguistics, and computer science.

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Cullen, Christopher. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733119.003.0001.

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The narrative I construct in this book lays emphasis on technical practice in observation, instrumentation and calculation, and the steady accumulation of data over many years—but it centres on the activity of the individual human beings who observed the heavens, recorded what they saw, and made calculations to analyse and eventually make predictions about the motions of the celestial bodies. Some of these people had official posts that gave them responsibility for work of this kind; others held official rank without such responsibilities, but still played a major role in technical discussions about celestial phenomena. A few others held no official rank at all, but showed themselves well capable of talking and writing about the heavens at an expert level. It is these individuals, their observations, their calculations and the words they left to us that provide the narrative thread that runs through this work....

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Butz, Martin V., et Esther F. Kutter. Brain Basics from a Computational Perspective. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0007.

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This chapter provides a crude overview of current knowledge in neuroscience about the human nervous system and its functionality. The distinction between the peripheral and central nervous systems is introduced. Next, brain anatomy is introduced, as well as nerve cells and the information processing principles that unfold in biological neural networks. Moreover, brain modules are covered, including their interconnected communication. With modularizations and wiring systematicities in mind, functional and structural systematicities are surveyed, including neural homunculi, cortical columnar structures, and the six-layered structure of the cerebral cortex. Finally, different available brain imaging techniques are contrasted. In conclusion, evidence is surveyed that suggests that the brain can be viewed as a highly modularized predictive processing system, which maintains internal activity and produces internal structures for the purpose of maintaining bodily needs in approximate homeostasis.

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Frankham, Richard, Jonathan D. Ballou, Katherine Ralls, Mark Eldridge, Michele R. Dudash, Charles B. Fenster, Robert C. Lacy et Paul Sunnucks. Genetic Management of Fragmented Animal and Plant Populations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198783398.001.0001.

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The biological diversity of the planet is being rapidly depleted due to the direct and indirect consequences of human activity. As the size of animal and plant populations decrease and fragmentation increases, loss of genetic diversity reduces their ability to adapt to changes in the environment, with inbreeding and reduced fitness inevitable consequences for many species. Many small isolated populations are going extinct unnecessarily. In many cases, such populations can be genetically rescued by gene flow into them from another population within the species, but this is very rarely done. This novel and authoritative book addresses the issues involved in genetic management of fragmented animal and plant populations, including inbreeding depression, loss of genetic diversity and elevated extinction risk in small isolated populations, augmentation of gene flow, genetic rescue, causes of outbreeding depression and predicting its occurrence, desirability and implementation of genetic translocations to cope with climate change, and defining and diagnosing species for conservation purposes.

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Cullen, Christopher. Heavenly Numbers. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733119.001.0001.

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This book is a history of the development of mathematical astronomy in China, from the late third century BCE, to the early third century CE—a period often referred to as ‘early imperial China’. It narrates the changes in ways of understanding the movements of the heavens and the heavenly bodies that took place during those four and a half centuries, and tells the stories of the institutions and individuals involved in those changes. It gives clear explanations of technical practice in observation, instrumentation and calculation, and the steady accumulation of data over many years—but it centres on the activity of the individual human beings who observed the heavens, recorded what they saw, and made calculations to analyse and eventually make predictions about the motions of the celestial bodies. It is these individuals, their observations, their calculations and the words they left to us that provide the narrative thread that runs through this work. Throughout the book, the author gives clear translations of original material that allow the reader direct access to what the people in this book said about themselves and what they tried to do. This book is designed to be accessible to a broad readership interested in the history of science, the history of China and the comparative history of ancient cultures, while still being useful to specialists in the history of astronomy.

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Schelbert, Heinrich R. Image-Based Measurements of Myocardial Blood Flow. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0024.

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Image-based measurements of myocardial blood flow afford the assessment of coronary circulatory function. They reflect functional consequences of coronary stenoses, diffuse epicardial vessel disease and microvascular dysfunction and structural changes and thus provide a measure of the total ischemic burden. Measured flows contain therefore clinically important predictive information. Fundamental to flow measurements are the tissue tracer kinetics, their description through tracer kinetic models, high spatial and temporal resolution imaging devices and accurate extraction of radiotracer tissue concentrations from dynamically acquired images for estimating true flows from the tissue time activity curves. A large body of literature on measurements of myocardial blood flow exists for defining in humans normal values for flow at baseline and during hyperemic stress as well as for the myocardial flow reserve. The role of PET for flow measurements has been well established; initial results with modern SPECT devices are encouraging. Responses of myocardial blood flow to specific challenges like pharmacologic vasodilation and to sympathetic stimulation can uncover functional consequences of focal epicardial coronary stenoses, of conduit vessel disturbances and disease and impairments of microvascular function. Apart from risk stratification, flow measurements may allow detection of early preclinical disease, influence treatment strategies and identify therapy responses.

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