Tabla de Contenidos: “…Main-d'œuvre - Durée moyenne du travail - Table 19. Manpower - Average hours worked -- Tableau 20. Indice de la production annuelle d'acier brut par ouvrier -- Table 20. …”

Tabla de Contenidos: “…- Basic -- The performance of an algorithm -- Best case, worst case and the average case complexity -- Analysis of asymptotic complexity -- Asymptotic upper bound of a function -- Asymptotic upper bound of an algorithm -- Asymptotic lower bound of a function -- Asymptotic tight bound of a function -- Optimization of our algorithm -- Fixing the problem with large powers -- Improving time complexity -- Summary -- Chapter 2: Cogs and Pulleys - Building Blocks -- Arrays -- Insertion of elements in an array -- Insertion of a new element and the process of appending it -- Linked list -- Appending at the end -- Insertion at the beginning -- Insertion at an arbitrary position -- Looking up an arbitrary element -- Removing an arbitrary element -- Iteration -- Doubly linked list -- Insertion at the beginning or at the end -- Insertion at an arbitrary location -- Removing the first element -- Removing an arbitrary element -- Removal of the last element -- Circular linked list -- Insertion -- Removal -- Rotation -- Summary -- Chapter 3: Protocols - Abstract Data Types -- Stack -- Fixed-sized stack using an array -- Variable-sized stack using a linked list -- Queue -- Fixed-sized queue using an array -- Variable-sized queue using a linked list -- Double ended queue -- Fixed-length double ended queue using an array -- Variable-sized double ended queue using a linked list -- Summary -- Chapter 4: Detour - Functional Programming -- Recursive algorithms -- Lambda Expressions in Java -- Functional interface -- Implementing a functional interface with lambda -- Functional data structures and monads -- Functional linked lists -- The forEach method for a linked list -- Map for a linked list…”

Tabla de Contenidos: “…Intro -- Foreword -- Acknowledgements -- Abbreviations and acronyms -- Annual average exchange rate: 1 USD = HUF -- Executive summary -- The DAC's recommendations to Hungary -- Findings and recommendations -- Introduction and context -- Introduction -- Hungary's domestic context: Opportunities to enhance development co-operation in a shifting external environment -- Since joining the DAC, Hungary has invested continuously in development co-operation -- The external environment presents both opportunities and risks -- Policy framework and financing: ODA has expanded significantly in line with priorities -- Guidance would help operationalise the legal and political foundations of Hungary's co-operation -- Hungary has established a solid legal and policy basis for its co-operation -- The next key step would be to develop implementation guidance -- ODA growth has been impressive -- planning and reporting could be improved -- ODA has increased fourfold since 2010 -- Hungary faces challenges in planning and reporting ODA -- ODA allocations are aligned with priorities but dispersed across countries and projects -- Hungary has increased bilateral ODA for its priority sectors and regions -- ...But allocations are geographically dispersed across many projects -- The development co-operation system: Hungary has many opportunities to deepen institutional and stakeholder collaboration -- Hungary's reorganisation could increase the effectiveness and efficiency of its development co-operation -- The various actors and instruments are not fully co-ordinated -- The reorganisation and enhanced role of the agency can strengthen the capacity and co-ordination of the co-operation system -- Hungary could do more on systematic stakeholder and public consultation and greater development awareness -- Hungary can gain from more systematic consultation with stakeholders…”

Tabla de Contenidos: “…-- As Andy Greenawalt Says, "You Are Misusing Your Humans -- Do Not Let Sacred Geese Live -- Market Your Market -- Purpose Can Drive Change, Too -- Shift to a Digital Community -- Price Is Only a Concern in the Absence of Value -- Overcoming the Challenges of the Digital Branch Starts with You -- Welcome to Digital Community Banking -- Move over Millennials -- Make Way for iGen -- Beware the Culture Danger -- Understand Your Technology -- Your Foundation Could Be a Bit Shaky -- And So, the Story Goes, "Free Your Data -- A Reliance on Professional Services Means You Get to Focus While Your End Users Get Best-of-Breed Offerings -- It's Not about Having Access to "Data," It's about Focused Direction -- Partner, Don't Incubate -- Skip the Writhing, Pleading, Grasping at Straws Thing -- Be Interested, Not Desperate -- Some Thoughts about Working with Fintech Startups -- Get More Efficient and More Proficient with Partners -- Scale Delivers Results -- For about Fifty Years, the Most Convenient Bank in the United States Was the US Postal Savings System -- Brand Power -- The Average Consumer Cares Very Little about Your Customer Service -- Which Takes Us Back to the Scale of Brands…”

Tabla de Contenidos: “…Algorithms for multi-class classification -- One-vs-all and one-vs-one strategies -- Metrics for multi-class classification problems -- Confusion matrix -- Precision -- Recall -- F1 score -- Macro- and micro-averaged metrics -- Area Under Curve (AUC-ROC) -- Log loss and its application in measuring calibration of multi-class models -- Brier score and its application in measuring the calibration of multi-class models -- How conformal prediction can be applied to multi-class classification problems -- Multi-class probabilistic classification using inductive and cross-Venn-ABERS predictors -- Summary -- Index -- Other Books You May Enjoy -- Blank Page…”

Tabla de Contenidos: “…Patch enumeration -- Windows patch enumeration -- Linux patch enumeration -- Security hardening and secure configuration reviews -- Using CIS benchmarks -- Summary -- Chapter 13: Vulnerability Reporting and Metric s -- Importance of reporting -- Type of reports -- Executive reports -- Detailed technical reports -- Reporting tools -- Dradis -- KeepNote -- Collaborative vulnerability management with Faraday v2.6 -- Metrics -- Mean time to detect -- Mean time to resolve -- Scanner coverage -- Scan frequency by asset group -- Number of open critical/high vulnerabilities -- Average risk by BU, asset group, and so on -- Number of exceptions granted -- Vulnerability reopen rate -- Percentage of systems with no open high/critical vulnerability -- Vulnerability ageing -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Leadership Attention -- Reflection Question: So, What's Left of Your Attention for the Average Workers? -- Random Thought: The Opposite of Love Is? …”

Tabla de Contenidos: “…-- Setting up reproducible results -- Summary -- Chapter 2: Training a Prediction Model -- Neural networks in R -- Building neural network models -- Generating predictions from a neural network -- The problem of overfitting data - the consequences explained -- Use case - building and applying a neural network -- Summary -- Chapter 3: Deep Learning Fundamentals -- Building neural networks from scratch in R -- Neural network web application -- Neural network code -- Back to deep learning -- The symbol, X, y, and ctx parameters -- The num.round and begin.round parameters -- The optimizer parameter -- The initializer parameter -- The eval.metric and eval.data parameters -- The epoch.end.callback parameter -- The array.batch.size parameter -- Using regularization to overcome overfitting -- L1 penalty -- L1 penalty in action -- L2 penalty -- L2 penalty in action -- Weight decay (L2 penalty in neural networks) -- Ensembles and model-averaging -- Use case - improving out-of-sample model performance using dropout -- Summary -- Chapter 4: Training Deep Prediction Models -- Getting started with deep feedforward neural networks -- Activation functions -- Introduction to the MXNet deep learning library -- Deep learning layers -- Building a deep learning model -- Use case - using MXNet for classification and regression…”

Tabla de Contenidos: “…Revenues from taxes on goods and services account for more than 30% of total tax revenue on average -- 3.3.2. Reduced VAT rates were used by many jurisdictions as a means to limit prices increases in certain sectors -- 3.3.3. …”

Tabla de Contenidos: “…Introduction to transfer learning -- Types of transfer learning -- Building a real-world image classifier with Transfer learning -- Loading the data -- Modeling -- Modeling with transfer learning -- Transfer learning as a fine-tuned model -- Summary -- Questions -- Further reading -- Part 3 - Natural Language Processing with TensorFlow -- Chapter 10: Introduction to Natural Language Processing -- Text preprocessing -- Tokenization -- Sequencing -- Padding -- Out of vocabulary -- Word embeddings -- The Yelp Polarity dataset -- Embedding visualization -- Improving the performance of the model -- Increasing the size of the vocabulary -- Adjusting the embedding dimension -- Collecting more data -- Dropout regularization -- Trying a different optimizer -- Summary -- Questions -- Further reading -- Chapter 11: NLP with TensorFlow -- Understanding sequential data processing - from traditional neural networks to RNNs and LSTMs -- The anatomy of RNNs -- Variants of RNNs - LSTM and GRU -- Text classification using the AG News dataset - a comparative study -- Using pretrained embeddings -- Text classification using pretrained embedding -- Using LSTMs to generate text -- Story generation using LSTMs -- Summary -- Questions -- Further reading -- Part 4 - Time Series with TensorFlow -- Chapter 12: Introduction to Time Series, Sequences, and Predictions -- Time series analysis - characteristics, applications, and forecasting techniques -- Characteristics of time series -- Types of time series data -- Applications of time series -- Techniques for forecasting time series -- Evaluating time series forecasting techniques -- Retail store forecasting -- Data partitioning -- Naïve forecasting -- Moving average -- Differencing -- Time series forecasting with machine learning -- Sales forecasting using neural networks -- Summary -- Questions…”

Tabla de Contenidos: “…Structural Materials-Polymers and Composites -- 12.1 Polymers -- Polymerization -- Structural Features Of Polymers -- Thermoplastic Polymers -- Thermosetting Polymers -- Additives -- 12.2 Composites -- Fiber-Reinforced Composites -- Aggregate Composites -- Property Averaging…”

Tabla de Contenidos: “…The state of urban design and land use in OECD countries -- Artificial surfaces -- Urban built-up area -- Average urban building height -- Open space for public use…”

“…Capable de nager la brasse sous la terre, de sentir les vers à travers les murs, de porter des colonnes de terre de dix fois son propre poids, de bâtir des mégalopoles souterraines grâce à sa maîtrise de l'aération parfaite, la taupe éblouit les scientifiques du monde entier de ses '…”

Tabla de Contenidos: “…La Tercera guerra del oro 6. Brasil alerta sobre la guerra global de las divisas 7. Estados Unidos declara la guerra financiera almundo, según Michael Hudson 8. …”

Tabla de Contenidos: “…4.4 Bibliographic Coupling of Documents, Sources, Authors, and Countries -- 4.4.1 Bibliographic Coupling of Documents -- 4.4.2 Bibliographic Coupling of Sources -- 4.4.3 Bibliographic Coupling of Authors -- 4.4.4 Bibliographic Coupling of Countries -- 4.5 Conclusion -- References -- Chapter 5 Fuzzy Decision Making in Predictive Analytics and Resource Scheduling -- 5.1 Introduction -- 5.2 History of Fuzzy Logic and Its Applications -- 5.3 Approximate Reasoning -- 5.4 Fuzzy Sets vs Classical Sets -- 5.5 Fuzzy Inference System -- 5.5.1 Characteristics of FIS -- 5.5.2 Working of FIS -- 5.5.3 Methods of FIS -- 5.6 Fuzzy Decision Trees -- 5.6.1 Characteristics of Decision Trees -- 5.6.2 Construction of Fuzzy Decision Trees -- 5.7 Fuzzy Logic as Applied to Resource Scheduling in a Cloud Environment -- 5.8 Conclusion -- References -- Chapter 6 Application of Fuzzy Logic and Machine Learning Concept in Sales Data Forecasting Decision Analytics Using ARIMA Model -- 6.1 Introduction -- 6.1.1 Aim and Scope -- 6.1.2 R-Tool -- 6.1.3 Application of Fuzzy Logic -- 6.1.4 Dataset -- 6.2 Model Study -- 6.2.1 Introduction to Machine Learning Method -- 6.2.2 Time Series Analysis -- 6.2.3 Components of a Time Series -- 6.2.4 Concepts of Stationary -- 6.2.5 Model Parsimony -- 6.3 Methodology -- 6.3.1 Exploratory Data Analysis -- 6.3.1.1 Seed Types-Analysis -- 6.3.1.2 Comparison of Location and Seeds -- 6.3.1.3 Comparison of Season (Month) and Seeds -- 6.3.2 Forecasting -- 6.3.2.1 Auto Regressive Integrated Moving Average (ARIMA) -- 6.3.2.2 Data Visualization -- 6.3.2.3 Implementation Model -- 6.4 Result Analysis -- 6.5 Conclusion -- References -- Chapter 7 Modified m-Polar Fuzzy Set ELECTRE-I Approach -- 7.1 Introduction -- 7.1.1 Objectives -- 7.2 Implementation of m-Polar Fuzzy ELECTRE-I Integrated Shannon's Entropy Weight Calculations…”

Tabla de Contenidos: “…Fomentar el desarrollo de sistemas de alerta temprana y establecer mecanismos para dar seguimientoa los estudiantes durante toda su trayectoria educativa--2B. …”

Tabla de Contenidos: “…6.7.5 - Damage Evaluation and Life Prediction -- 6.8 - Conclusions -- Chapter 7 - Inspection Interval Optimization for Aircraft Composite Structures Considering Dent Damage -- 7.1 - Introduction -- 7.2 - Damage tolerance philosophy of composite structures -- 7.2.1 - Properties of Aircraft Composite Structures -- 7.2.2 - Maintenance Model of Composite Structures -- 7.3 - Damage characterization -- 7.3.1 - Data Statistics and Category -- 7.3.2 - Damage Size Distribution -- 7.3.3 - Probability of Detection (POD) -- 7.4 - Probabilistic method -- 7.4.1 - Reliability Formulation -- 7.4.2 - Monte Carlo Simulation -- 7.5 - Case study -- 7.5.1 - Average Damages Per Life Cycle (Nd) -- 7.5.2 - Load Cases -- 7.5.3 - Damage Size and Occurrence Time -- 7.5.4 - Inspection Efficiency -- 7.5.5 - Residual Strength Reduction and Recovery -- 7.5.6 - Other Assumptions and Definitions to Facilitate the Simulation -- 7.6 - Simulation results and discussion -- 7.7 - Conclusions -- Chapter 8 - Repair Tolerance for Composite Structures Using Probabilistic Methodologies -- 8.1 - Introduction -- 8.2 - Repair tolerance -- 8.3 - Probabilistic method -- 8.4 - Case study -- 8.4.1 - Load Case -- 8.4.2 - Average Damage Per Life Cycle (Nd) -- 8.4.3 - Damage Size Distribution -- 8.4.4 - Probability of Detection (POD) -- 8.4.5 - Inspection Schedule -- 8.4.6 - Residual Strength Reduction and Recovery -- 8.4.7 - Repair Policy -- 8.4.8 - Factor of Safety -- 8.4.9 - Probability of Failure (POF) -- 8.4.10 - Maintenance Cost -- 8.5 - Results and discussion -- 8.6 - Conclusions -- Chapter 9 - Structural Health Monitoring and Influence on Current Maintenance -- 9.1 - Structural health monitoring technology -- 9.2 - SHM applications in aircraft -- 9.3 - Influence of SHM on current maintenance -- 9.4 - Integration of SHM with MSG-3 analysis -- A - Scheduled Maintenance -- B - Scheduled SHM…”

Tabla de Contenidos: “…6.9 Markov Sequence -- 6.10 Markov Process -- 6.11 Random Sequences -- 6.11.1 Bernoulli Sequence -- 6.11.2 Bernoulli Scheme -- 6.11.3 Independent Sequences -- 6.11.4 Bernoulli Random Walk -- 6.11.5 Binomial Counting Sequence -- 6.12 Random Processes -- 6.12.1 Poisson Counting Process -- 6.12.2 Random Telegraph Signal -- 6.12.3 Wiener Process -- 6.12.4 Gaussian Process -- 6.12.5 Pulse Amplitude Modulation -- 6.12.6 Random Sine Signals -- Problems -- Further Reading -- 7 Stochastic Convergence, Calculus, and Decompositions -- 7.1 Introduction -- 7.2 Stochastic Convergence -- 7.3 Laws of Large Numbers -- 7.4 Central Limit Theorem -- 7.5 Stochastic Continuity -- 7.6 Derivatives and Integrals -- 7.7 Differential Equations -- 7.8 Difference Equations -- 7.9 Innovations and Mean-Square Predictability -- 7.10 Doob-Meyer Decomposition -- 7.11 Karhunen-Lo`eve Expansion -- Problems -- Further Reading -- 8 Systems, Noise, and Spectrum Estimation -- 8.1 Introduction -- 8.2 Correlation Revisited -- 8.3 Ergodicity -- 8.4 Eigenfunctions of RXX(τ) -- 8.5 Power Spectral Density -- 8.6 Power Spectral Distribution -- 8.7 Cross-Power Spectral Density -- 8.8 Systems with Random Inputs -- 8.8.1 Nonlinear Systems -- 8.8.2 Linear Systems -- 8.9 Passband Signals -- 8.10 White Noise -- 8.11 Bandwidth -- 8.12 Spectrum Estimation -- 8.12.1 Periodogram -- 8.12.2 Smoothed Periodogram -- 8.12.3 Modified Periodogram -- 8.13 Parametric Models -- 8.13.1 Autoregressive Model -- 8.13.2 Moving-Average Model -- 8.13.3 Autoregressive Moving-Average Model -- 8.14 System Identification -- Problems -- Further Reading -- 9 Sufficient Statistics and Parameter Estimation -- 9.1 Introduction -- 9.2 Statistics -- 9.3 Sufficient Statistics -- 9.4 Minimal Sufficient Statistic -- 9.5 Exponential Families -- 9.6 Location-Scale Families -- 9.7 Complete Statistic -- 9.8 Rao-Blackwell Theorem…”

Tabla de Contenidos: “…16.5 Walsh Code Demodulation -- 16.6 Network Synchronization -- 16.7 RAKE Receiver -- 16.8 Pilot Pseudorandom Number Codes -- 16.9 Code Division Multiple Access Transmit Architecture -- 16.10 Variable Rate Vocoder -- 16.11 Soft Handoff -- 16.12 Uplink Modulation -- 16.13 Power Control -- 16.14 Higher Data Rates -- 16.15 Spectral Efficiency Considerations -- 16.16 Other Code Division Multiple Access Technologies -- 17 - Orthogonal Frequency Division Multiple Access Wireless Communications -- 17.1 WiMax and Long-Term Evolution -- 17.2 Orthogonal Frequency Division Multiple Access Advantages -- 17.3 Orthogonality of Periodic Signals -- 17.4 Frequency Spectrum of Orthogonal Subcarrier -- 17.5 Orthogonal Frequency Division Multiplexing Modulation -- 17.6 Intersymbol Interference and the Cyclic Prefix -- 17.7 Multiple Input and Multiple Output Equalization -- 17.8 Orthogonal Frequency Division Multiple Access System Considerations -- 17.9 Orthogonal Frequency Division Multiple Access Spectral Efficiency -- 17.10 Orthogonal Frequency Division Multiple Access Doppler Frequency Shift -- 17.11 Peak to Average Ratio -- 17.12 Crest Factor Reduction -- 17.13 Digital Predistortion -- 17.14 Remote Radio Head -- 18 - Radar Basics -- 18.1 Radar Frequency Bands -- 18.2 Radar Antennas -- 18.3 Radar Range Equation -- 18.4 Stealth Aircraft -- 18.5 Pulsed Radar Operation -- 18.6 Pulse Compression -- 18.7 Pulse Repetition Frequency -- 18.8 Detection Processing -- 19 - Pulse Doppler Radar -- 19.1 Doppler Effect -- 19.2 Pulsed Frequency Spectrum -- 19.3 Doppler Ambiguities -- 19.4 Radar Clutter -- 19.5 Pulse Repetition Frequency Trade-Offs -- 19.6 Target Tracking -- 20 - Automotive Radar -- 20.1 Frequency-Modulated Continuous-Wave Theory -- 20.2 Frequency-Modulated Continuous-Wave Range Detection -- 20.3 Frequency-Modulated Continuous-Wave Doppler Detection…”

Tabla de Contenidos: “…-- 7.2.5 Phase Lag/Lead Versus Time Delay/Advance -- 7.3 Instantaneous Power in Periodic Waveforms -- 7.4 Average Power in Periodic Waveforms -- 7.5 Effective Value (RMS Value) of Periodic Waveforms -- 7.6 The Power Superposition Principle -- 7.6.1 RMS Value of a Composite Waveform -- 7.7 Summary -- 7.8 Question -- 7.9 Problems -- Chapter 8: The Sinusoidal Steady-State Response -- Introduction -- 8.1 Transient State and Steady-State in Circuits -- 8.1.1 Governing Differential Equation of Circuits - Examples -- 8.1.2 Solution of the Circuit Differential Equation -- 8.1.3 Complete Response with Sinusoidal Excitation -- 8.2 The Complex Exponential Forcing Function -- 8.2.1 Sinusoidal Steady-State Response from Response to -- 8.2.2 Steady-State Solution to and the Operator -- 8.3 Sinusoidal Steady-State Response using Complex Exponential Input -- 8.4 The Phasor Concept -- 8.4.1 Kirchhoff's Laws in terms of Complex Amplitudes -- 8.4.2 Element Relations in terms of Complex Amplitudes -- 8.4.3 The Phasor -- 8.5 Transforming a Circuit into A Phasor Equivalent Circuit…”