Arama Sonuçları - (( do NOT adjust four set ) OR ( do NOT adjust our set ))*

Mental Health Care Services in Community Settings Discussions on NGO Approaches in India / Yazar: Balagopal, Gayathri, Kapanee, Aruna Rose Mary

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Proceedings of International Conference on ICT for Sustainable Development ICT4SD 2015 Volume 2 /

İçindekiler: “…Network Analysis of ICMP Ping Flood DoS Attack in Wi-Max and Wireless LAN -- Chapter 11. …”
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Reading / Yazar: Davis, Philip (Philip Maurice), Magee, Fiona

İçindekiler: “…-- Section 2: How to Do This Kind of Engaged Reading? -- Things To Do -- On My Own -- Things to do on my own (1): Try the reading app -- Things to do on my own (2): Making notes or writing a reading diary -- Things to Do -- With Others -- Things to Do -- for Others -- Things to See and Hear -- Notes -- 5: What Can Professionals Do to Help? …”
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Man-eating monsters : anthropocentrism and popular culture /

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Future Studies and Counterfactual Analysis Seeds of the Future / Yazar: Gordon, Theodore J., Todorova, Mariana

İçindekiler: “…Civility is Almost Gone, Debate is Almost Non-existent, yet the Sides are Firm in Their Positions and Sure They are Right -- Chapter 13: The Perfect Human: Unlocking the Mysteries of Human Genetics and Developing the Technologies to Manipulate Heredity Will Give, for Better or Worse, a New Dimension to Our Ability toSet the Fate of Our Children -- Chapter 14: Conclusions -- Appendix A Methodologies -- Appendix B Authors' Biographies -- Index.…”
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Urban Transformations Sustainable Urban Development Through Resource Efficiency, Quality of Life and Resilience /

İçindekiler: “…-- Adapting built-up areas to climate change - assessment of effects and feasibility of adaptation measures on thermal comfort -- Climate proofing in urban planning and permitting - a key to resilient urban development -- Decision support on natural hazards management in complex urban settings -- Is risk assessment the right approach or do we need decision heuristics? …”
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A Step by Step Approach to the Modeling of Chemical Engineering Processes Using Excel for simulation / Yazar: Ferrareso Lona, Liliane Maria

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Trade Unions on YouTube Online Revitalization in Sweden / Yazar: Jansson, Jenny, Uba, Katrin

İçindekiler: “…Introduction -- 2. Audiences: Who Do Unions Target? -- 3. Messages: Political Action - Agenda-Setting, Elections and Protest -- 4. …”
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Resilience to Climate Change Communication, Collaboration and Co-production / Yazar: Howarth, Candice

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The cryopolitics of reproduction on ice : a new Scandinavian ice age / Yazar: Kroløkke, Charlotte, Petersen, Thomas Søbirk, Herrmann, Janne Rothmar, Bach, Anna Sofie, Adrian, Stine Willum, Hansen, Rune Klingenberg, Petersen, Michael Nebeling

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Social contexts of early education, and reconceptualizing play (II)

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Humanizing Digital Reality Design Modelling Symposium Paris 2017 /

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Digital materialism : origins, philosophies, prospects / Yazar: Gottlieb, Baruch, 1966-

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Surface Wetting Characterization, Contact Angle, and Fundamentals / Yazar: Law, Kock-Yee, Zhao, Hong

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Discretionary behavior and performance in educational organizations the missing link in educational leadership and management /

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Identifying leaders for urban charter, autonomous and independent schools above and beyond the standards /

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Learning from research on teaching perspective, methodology, and representation /

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Modeling, Analysis and Control of Hydraulic Actuator for Forging Yazar: Lu, Xinjiang, Huang, Minghui

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From Bench to Boardroom The R&D Leader's Guide / Yazar: Spiro, Clifford L.

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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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