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Eat, cook, grow : mixing human-computer interactions with human-food interactions
Published 2014Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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The Johns Hopkins guide to digital media
Published 2014Table of Contents: “…Ross -- Virtual reality / Ken Hillis -- Virtuality / Michael Heim -- Walkthrough / Frederik De Grove and Jan Van Looy -- Web comics / Karin Kukkonen -- Wiki writing / Seth Perlow -- Windows / Jay David Bolter -- Word-image / Maria Engberg -- Worlds and maps / Bjarke Liboriussen -- Writing under constraint / Anastasia Salter.…”
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Rediscovering mathematics : you do the math
Published 2011Full text (MFA users only)
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105
Debates in the digital humanities 2016
Published 2016Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
Published 2018Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Numerical Methods for Eigenvalue Problems.
Published 2012Full text (MFA users only)
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Learning OpenCV 3 Application Development.
Published 2016Full text (MFA users only)
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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients
Published 2013Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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Computational ecology : artificial neural networks and their applications
Published 2010Full text (MFA users only)
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Principles of artificial neural networks
Published 2013Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Principles of Quantum Computation and Information, Volume I : Basic Concepts.
Published 2004Full text (MFA users only)
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Experiencing architecture in the nineteenth century : buildings and society in the modern age
Published 2019Table of Contents: “…'The pressing public want of the age': The arrival of the grand hotel'Bitter competition in the London hotel world': The problem of publicity; 'A wealthy man's private mansion': The assurance of exclusivity; The 'spirit of the time': Cosmopolitanism and heterosociability; Conclusion; Chapter 10: 'The fullest fountain of advancing civilization': Experiencing Anthony Trollope's House of Commons, 1852-82; Experiences of Parliament; Progressive architecture; A political theatre; Conclusion: Reading experiences.…”
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Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age.
Published 2018Table of Contents: “…; Disrupting the Market; The Power of Algorithms; Beyond the Digital Age; Chapter 12 Don't Become a Human Bot!…”
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Frontiers of Artificial Intelligence in Medical Imaging.
Published 2023Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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Machine Learning with Swift : Artificial Intelligence for iOS.
Published 2018Full text (MFA users only)
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