Arama Sonuçları - computer interaction - standards.

Multimodal Interaction with W3C Standards Toward Natural User Interfaces to Everything /

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Computational fluid-structure interaction : methods and applications / Yazar: Bazilevs, Yuri

İçindekiler: “…Computational Fluid-Structure Interaction; Contents; Series Preface; Preface; Acknowledgements; Chapter 1 Governing Equations of Fluid and Structural Mechanics; 1.1 Governing Equations of Fluid Mechanics; 1.1.1 Strong Form of the Navier -- Stokes Equations of Incompressible Flows; 1.1.2 Model Differential Equations; 1.1.3 Nondimensional Equations and Numbers; 1.1.4 Some Specific Boundary Conditions; 1.1.5 Weak Form of the Navier -- Stokes Equations; 1.2 Governing Equations of Structural Mechanics; 1.2.1 Kinematics.…”
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Neural Correlates of Quality During Perception of Audiovisual Stimuli Yazar: Arndt, Sebastian

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Multidisciplinary Approaches to Neural Computing

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Handbook of Camera Monitor Systems The Automotive Mirror-Replacement Technology based on ISO 16505 /

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Internet of Things From Hype to Reality The Road to Digitization / Yazar: Rayes, Ammar, Salam, Samer

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Internet of Things From Hype to Reality The Road to Digitization / Yazar: Rayes, Ammar, Salam, Samer

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Internet of Things: Novel Advances and Envisioned Applications

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Real-time Speech and Music Classification by Large Audio Feature Space Extraction Yazar: Eyben, Florian

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Tactile Display for Virtual 3D Shape Rendering Yazar: Mansutti, Alessandro, Covarrubias Rodriguez, Mario, Bordegoni, Monica, Cugini, Umberto

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Advances in Human Factors in Robots and Unmanned Systems Proceedings of the AHFE 2018 International Conference on Human Factors in Robots and Unmanned Systems, July 21-25, 2018, Lo...

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Advances in Human Factors in Robots and Unmanned Systems Proceedings of the AHFE 2016 International Conference on Human Factors in Robots and Unmanned Systems, July 27-31, 2016, Wa...

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Advances in Human Factors in Robots and Unmanned Systems Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, July 17−21, 2017, Th...

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Handbook of Driver Assistance Systems Basic Information, Components and Systems for Active Safety and Comfort /

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Robotics and Well-Being

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Ergonomics in Caring for People Proceedings of the International Conference on Humanizing Work and Work Environment 2015 /

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Beauty and the Norm Debating Standardization in Bodily Appearance /

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Applied Computing and Information Technology

İçindekiler: “…Business Sustainability Conceptualization -- A Replicated Study on Relationship between Code Quality and Method Comments -- A Predictive Model for Standardized Test Performance in Michigan Schools -- A Development Technique for Mobile Applications Program -- Identification Method Applications Development using Adapting Component Model -- Development of Guiding Walking Support Device for Visually Impaired People with the GPS -- User Evaluation Prediction Models Based on Conjoint Analysis and Neural Networks for Interactive Evolutionary Computation -- Emotional Video Scene Retrieval Using Multilayer Convolutional Network -- Proactive Approach for the Prevention of DDoS Attacks in Cloud Computing Environments -- Practical Uses of Memory Storage Extension -- How to Build a High Quality Mobile Applications Based on Improved Process -- A New Hybrid Discrete Firefly Algorithm for Solving the Traveling Salesman Problem.…”
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Composites materials for food packaging /

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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. Yazar: Mas�is, Serg

İçindekiler: “…Assessing the CNN classifier with traditional interpretation methods -- Determining what misclassifications to focus on -- Visualizing the learning process with activation-based methods -- Intermediate activations -- Evaluating misclassifications with gradient-based attribution methods -- Saliency maps -- Guided Grad-CAM -- Integrated gradients -- Bonus method: DeepLIFT -- Tying it all together -- Understanding classifications with perturbation-based attribution methods -- Feature ablation -- Occlusion sensitivity -- Shapley value sampling -- KernelSHAP -- Tying it all together -- Mission accomplished -- Summary -- Further reading -- Chapter 8: Interpreting NLP Transformers -- Technical requirements -- The mission -- The approach -- The preparations -- Loading the libraries -- Understanding and preparing the data -- The data dictionary -- Loading the model -- Visualizing attention with BertViz -- Plotting all attention with the model view -- Diving into layer attention with the head view -- Interpreting token attributions with integrated gradients -- LIME, counterfactuals, and other possibilities with the LIT -- Mission accomplished -- Summary -- Further reading -- Chapter 9: Interpretation Methods for Multivariate Forecasting and Sensitivity Analysis -- Technical requirements -- The mission -- The approach -- The preparation -- Loading the libraries -- Understanding and preparing the data -- The data dictionary -- Understanding the data -- Data preparation -- Loading the LSTM model -- Assessing time series models with traditional interpretation methods -- Using standard regression metrics -- Predictive error aggregations -- Evaluating the model like a classification problem -- Generating LSTM attributions with integrated gradients -- Computing global and local attributions with SHAP's KernelExplainer -- Why use KernelExplainer?.…”
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