Arama Sonuçları - Max the Mighty~

Countering Islamophobia in Europe

İçindekiler: “…Islamophobia as a Key Contextual Factor in Human Rights Adjudication; Ilias Tripolitis -- 3. Countering Islamophobia in the UK; Arzu Merali -- 4. …”
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Human-Computer Systems Interaction Backgrounds and Applications 4 /

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Gendered Perspectives on Conflict and Violence.

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Intelligent Mathematics II: Applied Mathematics and Approximation Theory

İçindekiler: “…Bivariate Left Fractional Polynomial Monotone Approximation -- Bivariate Right Fractional Pseudo-Polynomial Monotone Approximation -- Nonlinear Approximation: q-Bernstein Operators of Max-Product Kind -- A Two Dimensional Inverse Scattering Problem for Shape and Conductive Function for a Dielectic Cylinder -- Spinning Particle in Interaction with a Time Dependent Magnetic Field: A Path Integral Approach -- New Complexity Analysis of the Path Following Method for Linear Complementarity Problem -- Branch and Bound Method to Resolve the Non-Convex Quadratic Problems -- RogueWave Solutions for the Myrzakulov-I Equation -- Fuzzy Bilevel Programming with Credibility Measure -- A New Approach of a Possibility Function Based Neural Network -- Elementary Matrix Decomposition Algorithm for Symmetric Extension of Laurent Polynomial Matrices and its Application in Construction of Symmetric M-band Filter Banks -- Solution of Equation for Ruin Probability of Company for Some Risk Model by Monte Carlo Methods -- Determinant Representation of Dardoux Transformation for the (2+1)-Dimensional Schrodinger-Maxwell-Bloch Equation -- Numerical Solution of Nonlinear Klein-Gordon Equation Using PolynomialWavelets -- A New Approach in Determining Lot Size in Supply Chain Using Game Theory -- Voronovskaya Type Asymptotic Expansions for Multivariate Generalized Discrete Singular Operators -- Variational Analysis of a Quasistatic Contact Problem -- Efficient Lower Bounds for Packing Problems in Heterogeneous Bins with Conflicts Constraint -- Global Existence, Uniqueness and Asymptotic Behavior for a Nonlinear Parabolic System -- Mathematical Analysis of a Continuous Crystallization Process -- Wave Velocity Estimation in Heterogeneous Media -- Asymptotic Rate for Weak Convergence of the Distribution of Renewal-Reward Process with a Generalized Reflecting Barrier -- Bias Study of the Naive Estimator in a Longitudinal Linear Mixed- Effects Model with Measurement Error and Misclassification in Covariates -- Transformations of Data in Deterministic Modelling of Biological Networks -- Tracking The Interface of The Diffusion-Absorption Equation: Theoretical Analysis -- Tracking The Interface of The Diffusion-Absorption Equation: Numerical Analysis -- Analyzing Multivariate Cross-Sectional Poisson Count Using a Quasi-Likelihood Approach: The Case of Trivariate Poisson -- Generalized Caputo Type Fractional Inequalities -- Basic Iterated Fractional Inequalities.…”
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Optical And Microwave Technologies Select Proceedings of ICNETS2, Volume IV /

İçindekiler: “…Enhanced  Hierarchical Cluster Based Routing Protocol with Optical Sphere in FSO Manet -- Performance Improvement of Fractal Antenna with Electromagnetic Band Gap (EBG) and Defected Ground Structure for Wireless Communication -- Miniaturized Low Profile Antenna and Meta-Material Loaded Phase Shifter for Radar Application -- A Modified L-Slot Microstrip Antenna with Chamfered Patch Edges for UWB Applications -- Performance Analysis of CSRZ-DQPSK Modulator for ROF-PON Based Wireless Access -- Effects of Cross Phase Modulation and Four Wave Mixing in DWDM Optical Systems using  RZ and NRZ Signal -- Implantable Antenna for Blood Glucose Monitoring -- Reliability Analysis of Data Center Network -- Study of Microstrip Antenna Array with EBG Structure -- Gain Enhancement of Compact Multiband Antenna with Metamaterial Superstrate -- Cooperative Communication for Resource Sharing in Cognitive Radio Networks -- Interdomain Traffic Engineering with BGP and MPLS VPN -- Analysis and Critical Parameter Extraction of An Led for Brain Implants -- Review of Thermal Management of An Led for Brain Implants -- Bandgap Analysis in Defectless Photonic Crystals -- Multi Band High Gain Antenna with Cpw Feed for Wi-Fi, Wi-Max and X Band Application -- Design & Parameter Extraction of Split Ring Resonator for Surface Crack Detection in Different Materials -- Optical Channel Analysis of Turbo Coded MIMO-OFDM System for Visible Light Communication -- Frequency Tuning Method for Small Profile Metamaterial Based on Tri-Ring Resonator -- Redesigning Mach-Zehnder Modulator with Ring Resonators -- Study on Gain Enhancement of The Antenna using Planar Small Metasurface Lens -- Design of An internal Multi Resonant Pifa Antenna for Mobile  Telecommunication Networks -- Design of Substrate integrated Waveguide Back to Back Π-Shaped Slot Antenna for 60ghz Applications -- Performance Improvement of Gain in Distributed Raman Amplifier using forward and Backward Pumps -- A Comparative Study on Asymmetric, Triangular and Rectangular Core Large-Mode-Area PCF Designs -- Miniaturized High Gain Uwb Monopole Antenna with Dual Band Rejection using CSRR -- Evaluation of Environmental Factors in Bi-Directional Wdm Optical Wireless Communication in 1.55 Μm Band -- Soa Parameters Optimization for High Data Rate Operation -- All Optical 3R Regenerator of Design and Simulation -- Analysis of Dispersion Compensation Methods in WDM Systems -- Wideband Antenna for Medical Application -- Mitigation of Cross Phase Modulation in Multiband Radio-Over-Fiber Systems -- The Design of High Gain Substrate integrated Waveguide Antennas with FR4 and Rt Duroid.…”
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Analytical Methods in Nonlinear Oscillations Approaches and Applications / Yazar: Esmailzadeh, Ebrahim, Younesian, Davood, Askari, Hassan

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Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing ICRCWIP-2014 /

İçindekiler: “…A Survey Paper on Computational intelligence Approaches -- Simulation of Nonpolarp-GaN/i-InaGa(1-a)N/n-GaN Solar Cell for Maximum Efficiency -- Assessing the Severity of attacks in Wireless Networks -- SD and TCH Blocking KPI Improvement without Adding TRX Unit in BTS in GSM Network -- Design and analysis of Right-angled EBG Structure -- High Speed Packet Encoded Error Correction Technique for Wireless HD Video Streaming -- Review of Circular Polarization Techniques for Design of Microstrip Patch Antenna -- A Proposed Modification over Learning Vector Quantization & K-Means Algorithms for Performance Enhancement -- Taxonomy of Recent DDoS Attack Prevention, Detection and Response Schemes in Cloud Environment -- Design of Compact Concentric Circular Ring Patch antenna with Defected Ground Structure -- On the Bandwidth Enhancement of Modified Star-Triangular Fractal Antenna -- A Simple Miniaturized Dual Band Antenna for WiMAX/WLAN Applications -- Fault Detection for the Cluster Based System in Wireless Sensor Networks -- Gain and Bandwidth Enhancement of Single Layered Slotted Triangular Shaped Microstrip Patch antenna with Stub for Wlan Applications -- Design of Dual Resonator Broadband Multilayer Electromagnetic Coupled Microstrip antenna for X-Band Applications -- An Environment Aware Frequency Selective Head Set -- Performance analysis and Optimization of 40 Gbps Transmission System Over 4000 Km with FBG.…”
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Dynamic Behavior of Materials, Volume 1 Proceedings of the 2018 Annual Conference on Experimental and Applied Mechanics /

İçindekiler: “…Mechanical Behavior and Deformation Mechanisms of Mg in Shear Using In-Situ Synchrotron Radiation X-Ray Diffraction -- Chapter 54.Developing an Alternative to Roma Plastilina #1 as a Ballistic Backing Material for Body Armor Evaluation -- Chapter 55.IBI Test for High Strain Rate Tensile Testing of Adhesives -- Chapter 56.Modified Digital Gradient Sensors with Higher Measurement Sensitivity for Evaluating Stress Gradients in Transparent Solids -- Chapter 57.Quantitative Visualization of Sub-micron Deformations and Stresses at Sub-microsecond Intervals in Soda-lime Glass Plates -- Chapter 58.Microstructural Effects in the High Strain Rate Ring Fragmentation of Copper -- Chapter 59.Uncertainties in Low-Pressure Shock Experiments on Heterogeneous Materials -- Chapter 60.Effects of Liquid Viscosity on Wave Propagation Through Submerged Granular Media -- Chapter 61.Numerical Study of the Failure Mechanism of Ceramics during Low Velocity Impact Used In Protective Systems -- Chapter 62.Influence of High Strain Rate Transverse Compression on the Tensile Strength of Polyethylene Ballistic Single Fibers -- Chapter 63.The Utility of 3D Digital Image Correlation for Characterizing High-Rate Deformation -- Chapter 64.Characterization of Dynamic Deformation and Failure of Novel Light Weight Steel Alloy -- Chapter 65.Dynamic Fragmentation of MAX Phase Ti3SiC2 from Edge-On Impact Experiments -- Chapter 66.Application of High-speed DIC to Study Damage of Thin Membranes under Blast.…”
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Information Systems Design and Intelligent Applications Proceedings of Third International Conference INDIA 2016, Volume 3 /

İçindekiler: “…Envelope Fluctuation Reduction for WiMAX MIMO-OFDM Signals Using Adaptive Network Fuzzy Inference Systems -- Chapter 4. …”
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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications FICTA 2016, Volume 2 /

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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: “…-- Local interpretation for a single prediction at a time using LimeTabularExplainer -- Using LIME for NLP -- Training a LightGBM model -- Local interpretation for a single prediction at a time using LimeTextExplainer -- Trying SHAP for NLP -- Comparing SHAP with LIME -- Mission accomplished -- Summary -- Dataset sources -- Further reading -- Chapter 6: Anchors and Counterfactual Explanations -- Technical requirements -- The mission -- Unfair bias in recidivism risk assessments -- The approach -- The preparations -- Loading the libraries -- Understanding and preparing the data -- The data dictionary -- Examining predictive bias with confusion matrices -- Data preparation -- Modeling -- Getting acquainted with our "instance of interest" -- Understanding anchor explanations -- Preparations for anchor and counterfactual explanations with alibi -- Local interpretations for anchor explanations -- Exploring counterfactual explanations -- Counterfactual explanations guided by prototypes -- Counterfactual instances and much more with WIT -- Configuring WIT -- Datapoint editor -- Performance &amp -- Fairness -- Mission accomplished -- Summary -- Dataset sources -- Further reading -- Chapter 7: Visualizing Convolutional Neural Networks -- Technical requirements -- The mission -- The approach -- Preparations -- Loading the libraries -- Understanding and preparing the data -- Data preparation -- Inspect data -- The CNN models -- Load the CNN model.…”
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Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. Yazar: Kapoor, Amita

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Proceedings of the Second International Conference on Computer and Communication Technologies IC3T 2015, Volume 2 /

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Proceedings of the Second International Conference on Computer and Communication Technologies IC3T 2015, Volume 3 /

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Proceedings of the Second International Conference on Computer and Communication Technologies IC3T 2015, Volume 1 /

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

İçindekiler: “…6.2.5 Regularize and tune your model -- 6.3 Deploy the model -- 6.3.1 Explain your work to stakeholders and set expectations -- 6.3.2 Ship an inference model -- 6.3.3 Monitor your model in the wild -- 6.3.4 Maintain your model -- Summary -- 7 Working with Keras: A deep dive -- 7.1 A spectrum of workflows -- 7.2 Different ways to build Keras models -- 7.2.1 The Sequential model -- 7.2.2 The Functional API -- 7.2.3 Subclassing the Model class -- 7.2.4 Mixing and matching different components -- 7.2.5 Remember: Use the right tool for the job -- 7.3 Using built-in training and evaluation loops -- 7.3.1 Writing your own metrics -- 7.3.2 Using callbacks -- 7.3.3 Writing your own callbacks -- 7.3.4 Monitoring and visualization with TensorBoard -- 7.4 Writing your own training and evaluation loops -- 7.4.1 Training versus inference -- 7.4.2 Low-level usage of metrics -- 7.4.3 A complete training and evaluation loop -- 7.4.4 Make it fast with tf.function -- 7.4.5 Leveraging fit() with a custom training loop -- Summary -- 8 Introduction to deep learning for computer vision -- 8.1 Introduction to convnets -- 8.1.1 The convolution operation -- 8.1.2 The max-pooling operation -- 8.2 Training a convnet from scratch on a small dataset -- 8.2.1 The relevance of deep learning for small-data problems -- 8.2.2 Downloading the data -- 8.2.3 Building the model -- 8.2.4 Data preprocessing -- 8.2.5 Using data augmentation -- 8.3 Leveraging a pretrained model -- 8.3.1 Feature extraction with a pretrained model -- 8.3.2 Fine-tuning a pretrained model -- Summary -- 9 Advanced deep learning for computer vision -- 9.1 Three essential computer vision tasks -- 9.2 An image segmentation example -- 9.3 Modern convnet architecture patterns -- 9.3.1 Modularity, hierarchy, and reuse -- 9.3.2 Residual connections -- 9.3.3 Batch normalization -- 9.3.4 Depthwise separable convolutions.…”
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