Search Results - (( do NOT adjust four set ) OR ( do NOT adjust our set ))*
Suggested Topics within your search.
Suggested Topics within your search.
- Methodology 7
- Education 6
- General 6
- Social aspects 6
- Artificial intelligence 4
- Communications Engineering, Networks 4
- Control engineering 4
- Ethnology 4
- History 4
- Linguistics 4
- Research Methods in Language and Linguistics 4
- Sociology 4
- Telecommunication 4
- Administration 3
- Artificial Intelligence 3
- Computer networks 3
- Culture 3
- Environmental sciences 3
- Innovation and Technology Management 3
- Mechanics, Applied 3
- Organization & management of education 3
- Social Science 3
- Sociological Methods 3
- Technological innovations 3
- Automation 2
- Climate Sciences 2
- Climatology 2
- Communication in politics 2
- Computational Intelligence 2
- Computational intelligence 2
-
1
-
2
Proceedings of International Conference on ICT for Sustainable Development ICT4SD 2015 Volume 2 /
Published 2016Table of Contents: “…Network Analysis of ICMP Ping Flood DoS Attack in Wi-Max and Wireless LAN -- Chapter 11. …”
Full-text access
View in OPAC
e-Book -
3
Reading /
Published 2020Table of Contents: “…-- 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? …”
Full-text access
View in OPAC
e-Book -
4
Man-eating monsters : anthropocentrism and popular culture /
Published 2019Full-text access
View in OPAC
e-Book -
5
Future Studies and Counterfactual Analysis Seeds of the Future /
Published 2019Table of Contents: “…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.…”
Full-text access
View in OPAC
e-Book -
6
Urban Transformations Sustainable Urban Development Through Resource Efficiency, Quality of Life and Resilience /
Published 2018Table of Contents: “…-- 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? …”
Full-text access
View in OPAC
e-Book -
7
-
8
Trade Unions on YouTube Online Revitalization in Sweden /
Published 2019Table of Contents: “…Introduction -- 2. Audiences: Who Do Unions Target? -- 3. Messages: Political Action - Agenda-Setting, Elections and Protest -- 4. …”
Full-text access
View in OPAC
e-Book -
9
-
10
-
11
-
12
-
13
Digital materialism : origins, philosophies, prospects /
Published 2018Full-text access
View in OPAC
e-Book -
14
-
15
-
16
-
17
-
18
Modeling, Analysis and Control of Hydraulic Actuator for Forging
Published 2018Full-text access
View in OPAC
e-Book -
19
From Bench to Boardroom The R&D Leader's Guide /
Published 2018Full-text access
View in OPAC
e-Book -
20
Deep Learning with Python, Second Edition.
Published 2021Table of Contents: “…-- 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.…”
Full-text access
View in OPAC
e-Book