Tabla de Contenidos: “…4.3 Valorization of Mine Waste for Construction Applications -- 4.3.1 Recycling of Mining Solid Waste for Construction Materials -- 4.3.2 CE Concept Implementation in Mining Sector -- 4.3.3 Technical Advances and Future Perspectives -- 4.4 Conclusions -- References -- Chapter 5: Sustainable Geopolymer Bricks Manufacturing Using Rice Husk Ash: An Alternative to Fired Clay Bricks -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Results and Discussion -- 5.3.1 Bulk Density and Strength Behavior of Geopolymer Bricks -- 5.3.2 Water Absorption Capacity of Geopolymer Bricks -- 5.3.3 Micro-Structural Behavior of Geopolymer Bricks -- 5.3.4 Sustainability Aspects of Geopolymer Bricks -- 5.4 Conclusions -- References -- Chapter 6: Façade Fires in High-Rise Buildings: Challenges and Artificial Intelligence Solutions -- 6.1 Introduction -- 6.2 Fire Growth: From Internal (Enclosure) Fires to External Spread -- 6.3 Façade Systems and Types -- 6.4 Design Fire Scenarios for Façades - Internal and External Fires -- 6.4.1 Internal Fires -- 6.4.2 External Fires -- 6.5 Vertical Fire Propagation Mechanism over Façades -- 6.6 Dynamics of Cavity Fires -- 6.7 Façade Materials - Fire Safety and Toxicity -- 6.8 Artificial Intelligence/Deep Learning Framework for Early Warning and Fire Risk Assessment -- 6.9 Concluding Remarks -- References -- Chapter 7: Experimental Study on Self-Healing of Micro-Cracks in Concrete with Combination of Environmentally Friendly Bacteria -- 7.1 Introduction -- 7.2 Materials -- 7.2.1 Cement, Aggregates, and Water -- 7.2.2 Selection of Bacteria -- 7.2.3 Preparation of Bacterial Solution -- 7.2.4 Preparation of Bacterial Concrete -- 7.2.4.1 Mix Design -- 7.2.4.2 Mixing -- 7.2.4.3 Casting -- 7.3 Experimental Investigation -- 7.4 Results and Discussion -- 7.4.1 Slump Value -- 7.4.2 Compressive Strength -- 7.4.3 Splitting Tensile Strength…”

Tabla de Contenidos: “…Chapter 11 Advanced interactive 3D characters - Advanced character animation: blending motions - Cloning motions - Crowd control - Path finding and terrain analysis - Project: characters from a movie set are controlled by cellular phones - Interview: virtual sets designer, Colin Green, from Pixel Liberation Front, The Matrix, Panic Room, discusses movie previsualization for virtual sets Chapter 12 Artificial intelligence and gameplay for virtual sets - Introduction to AI - Decision making and self-determination - Managing crowd in an open space - Integrating AI in a game with AI - Project: virtual agora in the antique city of Aphrodisias - Interview: 3D interavtive designer, Zach Rosen, about using AI inside virtual sets Chapter 13 Multi-user server and database - Database administration - Connection to database - Saving and loading - Managing characters in multi-player environment - Chat in 3D world - Project: Multi player virtual movie set - Interview: CEO of SIA-TV, Adrian Simonovitch, about database driven virtual sets for interactive TV games…”

Tabla de Contenidos: “…2.5 Threat: Transportation and service corridors -- 2.6 Threat: Biological resource use -- 2.6.1 Hunting -- 2.6.2 Guano harvesting -- 2.6.3 Logging and wood harvesting -- 2.7 Threat: Human disturbance - caving and tourism -- 2.8 Threat: Natural system modification - natural fire and fire suppression -- 2.9 Threat: Invasive species -- 2.9.1 Invasive species -- 2.9.2 White-nose syndrome -- 2.10 Threat: Pollution -- 2.10.1 Domestic and urban waste water -- 2.10.2 Agricultural and forestry effluents -- 2.10.3 Light and noise pollution -- 2.10.4 Timber treatments -- 2.11 Providing artificial roost structures for bats -- 2.12 Education and awareness raising -- 3. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Deep Neural Networks - Overview -- Building blocks of a neural network -- Introduction to TensorFlow -- Installing TensorFlow -- For macOS X/Linux variants -- TensorFlow basics -- Basic math with TensorFlow -- Softmax in TensorFlow -- Introduction to the MNIST dataset -- The simplest artificial neural network -- Building a single-layer neural network with TensorFlow -- Keras deep learning library overview -- Layers in the Keras model -- Handwritten number recognition with Keras and MNIST -- Retrieving training and test data -- Flattened data -- Visualizing the training data -- Building the network -- Training the network -- Testing -- Understanding backpropagation -- Summary -- Chapter 2: Introduction to Convolutional Neural Networks -- History of CNNs -- Convolutional neural networks -- How do computers interpret images? …”

Tabla de Contenidos: “…Chapter 8: Ensemble Learning -- Ensemble learning fundamentals -- Random forests -- Example of random forest with Scikit-Learn -- AdaBoost -- AdaBoost.SAMME -- AdaBoost.SAMME.R -- AdaBoost.R2 -- Example of AdaBoost with Scikit-Learn -- Gradient boosting -- Example of gradient tree boosting with Scikit-Learn -- Ensembles of voting classifiers -- Example of voting classifiers with Scikit-Learn -- Ensemble learning as model selection -- Summary -- Chapter 9: Neural Networks for Machine Learning -- The basic artificial neuron -- Perceptron -- Example of a perceptron with Scikit-Learn -- Multilayer perceptrons -- Activation functions -- Sigmoid and hyperbolic tangent -- Rectifier activation functions -- Softmax -- Back-propagation algorithm -- Stochastic gradient descent -- Weight initialization -- Example of MLP with Keras -- Optimization algorithms -- Gradient perturbation -- Momentum and Nesterov momentum -- SGD with momentum in Keras -- RMSProp -- RMSProp with Keras -- Adam -- Adam with Keras -- AdaGrad -- AdaGrad with Keras -- AdaDelta -- AdaDelta with Keras -- Regularization and dropout -- Dropout -- Example of dropout with Keras -- Batch normalization -- Example of batch normalization with Keras -- Summary -- Chapter 10: Advanced Neural Models -- Deep convolutional networks -- Convolutions -- Bidimensional discrete convolutions -- Strides and padding -- Atrous convolution -- Separable convolution -- Transpose convolution -- Pooling layers -- Other useful layers -- Examples of deep convolutional networks with Keras -- Example of a deep convolutional network with Keras and data augmentation -- Recurrent networks -- Backpropagation through time (BPTT) -- LSTM -- GRU -- Example of an LSTM network with Keras -- Transfer learning -- Summary -- Chapter 11: Autoencoders -- Autoencoders -- An example of a deep convolutional autoencoder with TensorFlow…”

Tabla de Contenidos: “…Acknowledgments Further Reading; References; 2 Large-scale, Small-scale Systems; 1 INTRODUCTION; 1.1 State of the Art; 1.2 Key Open Questions; 2 INTRODUCTION; 2.1 Biology in Cognitive Systems: Science and Engineering; 2.2 Applications of BICAS; 2.2.1 Circuit-level Computation; 2.2.2 Networked and Distributed Computing; 2.2.3 Artificial Autonomous Agents; 2.3 Opportunities for BICAS; 2.4 Structure of this Chapter; 3 CIRCUIT-BASED SYSTEMS; 3.1 Introduction; 3.2 Key Questions; 3.2.1 Dynamics; 3.2.2 Self-organization; 3.2.3 Synchronization; 3.2.4 Processing Speed; 3.2.5 Timing; 3.2.6 Robustness…”

Tabla de Contenidos: “…7.1 Objectives and outcomes -- 7.2 Applications of finite automata and regular expressions -- 7.3 Applications of grammars -- 7.4 Applications of pushdown automata -- 7.5 Applications of Turing machine -- 7.6 Concept of cellular automata -- 7.7 Chapter summary -- 7.8 Multiple choice questions -- References -- 8 Automata theory with recent trends -- 8.1 Objectives and outcomes -- 8.2 Introduction -- 8.3 Automata and cybersecurity -- 8.3.1 System software -- 8.3.2 Network testing -- 8.3.3 Protocol testing -- 8.3.4 Cloud security testing -- 8.3.5 Application testing -- 8.4 Automata and artificial intelligence (AI)/machine learning (ML) -- 8.5 Chapter summary -- 8.6 Multiple choice questions -- References -- A Answers to multiple choice questions -- B Notations -- Index -- Back Cover…”

“…Luigi Amara desgrana uno tras otro los curiosos episodios que la peluca ha protagonizado a lo largo de la historia: mamífera y artificial, juguete del yo que ha sido insignia del poder y cómplice de una idea maleable de belleza, atrezo del disfraz y la simulación, la peluca ha estado del lado de la búsqueda de identidad tanto como de la parodia y la irreverencia, y si hasta hace muy poco, pese a su anacronismo y ridiculez manifiesta, cumplía una función ritual en el sistema de justicia británico, en una época contribuyó a que lo aparatoso e inútil se elevara a la categoría de buen gusto. …”

Tabla de Contenidos: “…Reflexiones en torno a la revista cultural Punto de vista / Piglia, patriarcalismo y mujeres. Respiración artificial: ¿novela masculina? / Algunos escritores de los últimos veinte años / LITERATURA URUGUAYA -- El largo camino de la vida breve rioplatense / Narrativa uruguaya y cultura de la impunidad / El sueño de la nación produce muertos: Sobre la obra de Tomás de Mattos / DOCUMENTACIÓN: AUTORES Y OBRAS -- Los colaboradores de este volumen -- Indice Onomástico -- americana eystettensia…”
Enlace del recurso

Tabla de Contenidos: “…II Del alumbramiento artificial; . III De la asfixia de los recién nacidos…”

Tabla de Contenidos: “…/ Raquel Álamo Cerrillo -- Las administraciones tributarias 5G: la era de la inteligencia artificial tributaria / Yohan Andrés Campos Martínez -- El deber de información impuesto a los intermediarios de viviendas turísticas. …”

Tabla de Contenidos: “…Thinking beyond means-ends analysis: the role of impulse-driven human creativity in the design of artificially intelligent systems Dongming Xu Yonggui Wang Sukanto Bhattacharya University of Queensland 11. …”

Tabla de Contenidos: “…""Classification metrics""""Extensions of the binary logistic classifier""; ""Multinomial logistic regression""; ""Predicting glass type""; ""Ordinal logistic regression""; ""Predicting wine quality""; ""Summary""; ""Chapter 4 : Neural Networks""; ""The biological neuron""; ""The artificial neuron""; ""Stochastic gradient descent""; ""Gradient descent and local minima""; ""The perceptron algorithm""; ""Linear separation""; ""The logistic neuron""; ""Multilayer perceptron networks""; ""Training multilayer perceptron networks""; ""Predicting the energy efficiency of buildings""…”

Tabla de Contenidos: “…5.2 International guidelines for surround sound room acoustics5.3 Loudspeakers for surround sound: placement and directivity; 5.4 Monitor level alignment; 5.5 Virtual control room acoustics and monitors; 6 Two- and three-channel recording techniques; 6.1 Science versus aesthetics in spatial recording; 6.2 Two-channel microphone techniques; 6.3 Spot microphones and two-channel panning laws; 6.4 Three-channel techniques; 7 Surround sound recording techniques; 7.1 Surround sound microphone technique; 7.2 Multichannel panning techniques; 7.3 Artificial reverberation and room simulation…”

Tabla de Contenidos: “…Mitchell -- Information networks in the history of life / Robert Giegengack and Yvette Bordeaux -- On artificial intelligence, evolutionary computation, and networks / Steven O. …”

Tabla de Contenidos: “…WAVELETS FOR VARIANCE-COVARIANCE ESTIMATION; 7.1 Introduction; 7.2 The Wavelet Variance; 7.3 Testing Homogeneity of Variance; 7.4 The Wavelet Covariance and Cross-Covariance; 7.5 The Wavelet Correlation and Cross-Correlation; 7.6 Applications; 7.7 Univariate and Bivariate Spectrum Analysis; CHAPTER 8. ARTIFICIAL NEURAL NETWORKS; 8.1 Introduction…”

Tabla de Contenidos: “…Oxygen transport -- Gas exchange and diffusion -- Overall gas exchange -- Diffusion -- Fick's law of diffusion -- Summary of diffusion properties -- Gas exchange limited by diffusion and perfusion -- Oxygen in the blood -- Blood: plasma and red blood cells -- Hemoglobin (heme + globin) -- Binding of oxygen to hemoglobin: oxygen saturation (dissociation) curve -- Allosteric effectors of oxygen binding to hemoglobin -- Overall oxygen transport -- Carboxyhemoglobin -- Artificial oxygen carriers -- Hemoglobin-based oxygen carriers -- Perfluorocarbon emulsions --…”

Tabla de Contenidos: “…Co-Verbal Gestures and Other Non-Verbal Cues in Map-Task Activities: Language for the SelfA Case Study of Map-Task Activity: Full Transcripts; Co-Verbal Gestures and Planning in Conditions of Blocked Visibility and Face-to-Face: An Overall View; Lateralization Phenomena in Gesture; Instances of Lateralized Gestural Processing; Discussion; Summary; The Importance of Gesture and Other Non-Verbal Cues in Human-Machine Interaction: Applications; Overview; State of the Art; Architecture of ECAs; Architecture of a Robot; Expressions and Gestures in Artificial Agents…”

Tabla de Contenidos: “…EIGHT: Problem SolvingWhen Problems Are Well-Defined; When Problems Are Not So Well-Defined; Finding the Way There; Artificial Intelligence: Machines That Think; How Experts Solve Problems; Insight and Genius; NINE: Analogical Reasoning; Analogy as It Should Be Done; Analogy: How It Is Actually Done; Why Analogy Is the Core of Cognition; References; Index…”

“…La primera edición del seminario "Los otros toman la palabra" trató los problemas éticos que suscitan tres cuestiones de mucha actualidad: el velo que llevan algunas musulmanas de los centros educativos públicos; algunas reivindicaciones de personas sordas, por ejemplo poder escoger, en la fecundación artificial, un donante con sorera hereditaria para aumentar las posibilidades de tener un hijo también sordo, y, por último, la negacion de la sexualidad a muchas personas con discapacidad intelectual, a pesar de habérseles reconocido el derecho (y el deber) de trabajar, propio de las personas adultas…”