Arama Sonuçları - University of Konstanz~

Multiple Constant Multiplication Optimizations for Field Programmable Gate Arrays Yazar: Kumm, Martin

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Does the black middle class exist and are we members? : reflections from a research team / Yazar: Khunou, Grace, Marsh, Kris, Chauke, Polite, Plank, Lesego, Igbanoi, Leo, Kgosiemang, Mabone

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Muslim Women in Austria and Germany Doing and Undoing Gender Making Gender Differences and Hierarchies Relevant or Irrelevant / Yazar: Volkmann, Constanze

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Teaching leaders to lead teachers educational administration in the era of constant crisis /

İçindekiler: “…Introduction: teaching leaders to lead teachers: educational administration in the era of constant crisis / Saran Donahoo, Richard C. Hunter -- Becoming a leader of content knowledge / Alan C. …”
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Management and administration of higher education institutions at times of change /

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Fuel cell systems explained / Yazar: Dicks, Andrew, Rand, D. A. J. (David Anthony James), 1942-

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International Steam Tables Properties of Water and Steam based on the Industrial Formulation IAPWS-IF97 / Yazar: Kretzschmar, Hans-Joachim, Wagner, Wolfgang

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Fatigue Crack Growth Detect - Assess - Avoid / Yazar: Richard, Hans Albert, Sander, Manuela

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Class, Ethnicity and State in the Polarized Metropolis Putting Wacquant to Work /

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Intelligent Systems for Computer Modelling Proceedings of the 1st European-Middle Asian Conference on Computer Modelling 2015, EMACOM 2015 /

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Technology and education issues in administration, policy, and applications in K12 schools /

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Emerging Applications of Control and Systems Theory A Festschrift in Honor of Mathukumalli Vidyasagar /

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Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018)

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Theory Beyond Structure and Agency Introducing the Metric/Nonmetric Distinction / Yazar: Guy, Jean-Sébastien

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Dental Applications of Nanotechnology

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Fundamentals of Machine Theory and Mechanisms Yazar: Simón Mata, Antonio, Bataller Torras, Alex, Cabrera Carrillo, Juan Antonio, Ezquerro Juanco, Francisco, Guerra Fernández, Antonio Jesús, Nadal Martínez, Fernando, Ortiz Fernández, Antonio

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New Trends in Mechanism and Machine Science Theory and Industrial Applications /

İçindekiler: “…Sánchez -- Industrial and non-industrial applications 1 -- Winmecc: Software for the Analysis of Planar Mechanisms, by Antonio Ortiz, Juan Antonio Cabrera, Fernando Nadal and Alex Bataller -- Manipulator Motion Planning in Redundant Robotic System for Fiber Placement Process, by Jiuchun Gao, Anatol Pashkevich and Stéphane Caro -- Free and Open Source Software Applications for Education of TMM Discipline in Bauman University, by Andrei Vukolov -- A Novel One-DoF Gravity Balancer Based on Cardan Gear Mechanism, by Yu-Chun Hung and Chin-Hsing Kuo -- Galvanometer laser scanning: Custom-made input signals for maximum duty cycles in high-end imaging applications, by Virgil-Florin Duma -- Control issues -- Optimal Motion of Flexible Objects with Oscillations Elimination at the Stop Point, by Natalia Varminska and Damien Chablat -- Alternating Error Effects on Decomposition Method in Function Generation Synthesis, by Omar W Maaroof, Mehmet İsmet Can Dede and Gökhan Kiper -- Control-based Design of a Five-bar Mechanism, by Lila Kaci, Sébastien Briot, Clément Boudaud and Philippe Martinet -- History of mechanisms -- F. …”
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Advances in Italian Mechanism Science Proceedings of the First International Conference of IFToMM Italy /

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Deep Learning with Python, Second Edition. Yazar: Chollet, Francois

İçindekiler: “…-- 3.3 Keras and TensorFlow: A brief history -- 3.4 Setting up a deep learning workspace -- 3.4.1 Jupyter notebooks: The preferred way to run deep learning experiments -- 3.4.2 Using Colaboratory -- 3.5 First steps with TensorFlow -- 3.5.1 Constant tensors and variables -- 3.5.2 Tensor operations: Doing math in TensorFlow -- 3.5.3 A second look at the GradientTape API -- 3.5.4 An end-to-end example: A linear classifier in pure TensorFlow -- 3.6 Anatomy of a neural network: Understanding core Keras APIs -- 3.6.1 Layers: The building blocks of deep learning -- 3.6.2 From layers to models -- 3.6.3 The "compile" step: Configuring the learning process -- 3.6.4 Picking a loss function -- 3.6.5 Understanding the fit() method -- 3.6.6 Monitoring loss and metrics on validation data -- 3.6.7 Inference: Using a model after training -- Summary -- 4 Getting started with neural networks: Classification and regression -- 4.1 Classifying movie reviews: A binary classification example -- 4.1.1 The IMDB dataset -- 4.1.2 Preparing the data -- 4.1.3 Building your model -- 4.1.4 Validating your approach.…”
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Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017)

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