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181
Routledge Handbook of Arabic Translation
Published 2019Table of Contents: “…The Arabic-IPA mapping algorithm and transcription tool: overviewThe SALMA Tagger; The two-stage mapping algorithm: SALMA pre-processing; The two-stage mapping algorithm: the rule-development stage; Further challenges and examples in full-form Arabic-IPA transcription; Automatically generated syllabified IPA transcriptions of Arabic words; Automatic assignment of primary stress; Automating stress assignment in pause form pronunciation; The tajwīd concept of prolongation or madd; Evaluation of automatic stress assignment over Quranic Arabic; Measuring inter-annotator agreement…”
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Introduction to graph theory
Published 2009Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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Deep Learning with Pytorch Quick Start Guide : Learn to Train and Deploy Neural Network Models in Python.
Published 2018Full text (MFA users only)
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Datafied society : studying culture through data
Published 2017Table of Contents: “…Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann & Asher Boersma ; 10. …”
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Content-based image classification : efficient machine learning using robust feature extraction techniques
Published 2020Full text (MFA users only)
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Slantwise moves : games, literature, and social invention in nineteenth-century America
Published 2018Full text (MFA users only)
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A practical guide to error-control coding using Matlab
Published 2010Full text (MFA users only)
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CUDA programming : a developer's guide to parallel computing with GPUs
Published 2013Table of Contents: “…ALGORITHMIC ISSUESFINDING AND AVOIDING ERRORS; DEVELOPING FOR FUTURE GPUS; FURTHER RESOURCES; CONCLUSION; References; Index.…”
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194
Principles of Quantum Computation and Information, Volume I : Basic Concepts.
Published 2004Full text (MFA users only)
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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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Building Machine Learning Systems with Python.
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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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Parallel Computing : Advances and Current Issues, Proceedings of the International Conference Parco2001.
Published 2002Table of Contents: “…Committees ; Preface ; Invited Papers ; Deploying Parallel Numerical Library Routines to Cluster Computing in a Self Adapting Fashion ; 1 Overview ; 2 Numerical libraries in shared homogeneous distributed environments ; 3 Sample software implementation and results.…”
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