Search Results - (((((((ant OR santis) OR wanti) OR makart) OR cantor) OR anne) OR shape) OR hints) algorithms.

Examining Robustness and Vulnerability of Networked Systems. by Butenko, S.

Table of Contents: “…t Networks by Fast Simulation Method""; ""Analysis and Design of Robust Network Clusters with Bounded Diameter""; ""Multiobjective Particle Swarm Optimization for a Multicast Routing Problem""; ""Robust Networked Control Systems with Communication Constraints""; ""Hop-Constrained Tree-Shaped Networks""…”
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Modern Radio Signals Filtering Devices Methods, Technologies, and Structures.

Table of Contents: “…Performance and Implementation of Frequency Measuring Equipment for Radio Signals -- Surface Acoustic Wave Structures and Devices Modeling Based on Coupled Waves Method -- Surface Acoustic Wave Filters for Communication Systems -- Waveguide Resonator High-Power Filters -- Filtering of Microwave Signals for Satellite Communication Systems -- High Power Multiplexer Microwave Filters -- Frequency Selective Surfaces and Periodic Structures -- Two-dimensional Periodic Structures for Frequency Selection of Signals -- Frequency Selective Surfaces with Cross-shaped Aperture Elements…”
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Pattern Recognition in Computational Molecular Biology : Techniques and Approaches by Elloumi, Mourad, Iliopoulos, Costas, Wang, Jason T. L., Zomaya, Albert Y.

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Handbook of power systems. II

Table of Contents: “…Cover -- Handbook of Power Systems II13; -- Preface of Volume II13; -- Contents of Volume II13; -- Contents13; of Volume I -- Contributors13; -- Part I Transmission and Distribution Modeling -- Recent Developments in Optimal Power Flow Modeling Techniques -- 1 Introduction -- 2 Physical Network Representation -- 3 Operational Constraints -- 4 Tap-Changing and Regulating Transformers -- 5 FACTS Devices -- 6 OPF Objective Functions and Formulations -- 7 OPF Solution Techniques -- 8 Numerical Examples -- 9 Conclusion -- References -- Algorithms for Finding Optimal Flows in Dynamic Networks -- 1 Optimal Dynamic Network Flow Models and Power Industry -- 2 Minimum Cost Dynamic Single: Commodity Flow Problems and Algorithms for Their Solving -- 3 Minimum Cost Dynamic Multicommodity Flow Problems and Algorithms for Their Solving -- References -- Signal Processing for Improving Power Quality -- 1 Wavelet-based Algorithm for Harmonics Analysis -- 2 Wavelet-based Algorithm for Nonstationary Power System Waveform Analysis -- 3 Wavelet-GA-ANN Based Hybrid Model for Accurate Prediction of Short-term Load Forecast -- 4 Conclusions -- References -- Transmission Valuation Analysis based on Real Options with Price Spikes -- 1 Introduction -- 2 Behavior of Commodity Prices -- 3 Valuation of Obligations and Options -- 4 Valuation in the Presence of Spikes -- 5 Conclusions -- References -- Part II Forecasting in Energy -- Short-term Forecasting in Power Systems: A Guided Tour -- 1 Introduction -- 2 Electricity Load Forecasting -- 3 Wind Power Forecasting -- 4 Forecasting Electricity Prices -- 5 Conclusions -- References -- State-of-the-Art of Electricity Price Forecasting in a Grid Environment -- 1 Introduction -- 2 State-of-the-Art Techniques of Electricity Price Forecasting -- 3 Input8211;Output Specifications of Electricity Price Forecasting Techniques -- 4 Comparing Existing Statistical Techniques for Electricity Price Forecasting -- 5 Implementations of Electricity Price Forecasting in a Grid Environment -- 6 Conclusions -- References -- Modelling the Structure of Long-Term Electricity Forward Prices at Nord Pool -- 1 Introduction -- 2 Long-term Forward Price Process -- 3 Model Estimation -- 4 Conclusions -- References -- Hybrid Bottom-Up/Top-Down Modeling of Prices in Deregulated Wholesale Power Markets -- 1 Introduction -- 2 Top-Down Models for Electricity Price Forecasting -- 3 Hybrid Bottom-Up/Top-Down Modeling -- 4 A Hybrid Model for the New Zealand Electricity Market -- 5 A Hybrid Model for the Australian Electricity Market -- 6 Conclusions -- References -- Part III Energy Auctions and Markets -- Agent-based Modeling and Simulation of Competitive Wholesale Electricity Markets -- 1 Introduction -- 2 Agent-based Modeling and Simulation -- 3 Behavioral Modeling -- 4 Market Modeling -- 5 Conclusions -- References -- Futures Market Trading for Electricity Producers and Retailers -- 1 Introduction: Futures Market Trading -- 2 Producer Trading -- 3 Retailer Trading -- 4 Conclusions -- References -- A Decision Support System for Generation Planning and Operation in Electricity Markets -- 1 Introduction -- 2 Long-term Stochastic Market Planning Model -- 3 Medium-term Stochastic Hydrothermal Coordination Model -- 4 Medium-term Stochastic Simulation Model -- T$29828.…”
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There's Something about Gödel : The Complete Guide to the Incompleteness Theorem. by Berto, Francesco

Table of Contents: “…. -- 6 ... and the unsatisfied logicists, Frege and Russell -- 7 Bits of set theory -- 8 The Abstraction Principle -- 9 Bytes of set theory -- 10 Properties, relations, functions, that is, sets again -- 11 Calculating, computing, enumerating, that is, the notion of algorithm…”
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Heating by Electromagnetic Sources (HES 2016). by Jan Sykulski, Fabrizio Dughiero

Table of Contents: “…Influence of SEN depth and port angle on vertical electromagnetic brake effects in continuous casting mouldInduction heating in estimation of thermal properties of conductive materials; Nonlinear model order reduction for the fast solution of induction heating problems in time-domain; Improved Litz wire manufacture process using resonant power converter-based induction heating; Design of power converters for induction heating applications taking advantage of wide-bandgap semiconductors; Construction improvement of the thermoelastic clutch based on shape optimization…”
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Cognitive Electronic Warfare : An Artificial Intelligence Approach. by Haigh, Karen

Table of Contents: “…-- 1.5 Reader's Guide -- 1.6 Conclusion -- References -- 2 Objective Function -- 2.1 Observables That Describe the Environment -- 2.1.1 Clustering Environments -- 2.2 Control Parameters to Change Behavior -- 2.3 Metrics to Evaluate Performance -- 2.4 Creating a Utility Function -- 2.5 Utility Function Design Considerations -- 2.6 Conclusion -- References -- 3 ML Primer -- 3.1 Common ML Algorithms -- 3.1.1 SVMs -- 3.1.2 ANNs -- 3.2 Ensemble Methods -- 3.3 Hybrid ML -- 3.4 Open-Set Classification -- 3.5 Generalization and Meta-learning -- 3.6 Algorithmic Trade-Offs -- 3.7 Conclusion -- References -- 4 Electronic Support -- 4.1 Emitter Classification and Characterization -- 4.1.1 Feature Engineering and Behavior Characterization -- 4.1.2 Waveform Classification -- 4.1.3 SEI -- 4.2 Performance Estimation -- 4.3 Multi-Intelligence Data Fusion -- 4.3.1 Data Fusion Approaches -- 4.3.2 Example: 5G Multi-INT Data Fusion for Localization -- 4.3.3 Distributed-Data Fusion -- 4.4 Anomaly Detection -- 4.5 Causal Relationships -- 4.6 Intent Recognition -- 4.6.1 Automatic Target Recognition and Tracking -- 4.7 Conclusion -- References -- 5 EP and EA -- 5.1 Optimization -- 5.1.1 Multi-Objective Optimization -- 5.1.2 Searching Through the Performance Landscape -- 5.1.3 Optimization Metalearning -- 5.2 Scheduling -- 5.3 Anytime Algorithms -- 5.4 Distributed Optimization -- 5.5 Conclusion.…”
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What Every Teacher Should Know About Effective Teaching Strategies. by Tileston, Donna E. Walker

Table of Contents: “…Procedural MemoryAutomatic Memory -- Emotional Memory -- Chapter 4 -- Procedural Knowledge: Teaching Strategies That Work -- Helping Students Construct Models -- Teaching Procedural Knowledge That Requires Algorithms -- Strategies to Help Construct Models -- Shaping Procedural Knowledge -- Internalizing Procedural Knowledge -- The Metacognitive System -- Chapter 5 -- Graphic Organizers: Strategies for Thinking -- Graphic Organizers -- Chapter 6 -- Using Verbal Strategies in the Classroom -- Brainstorming -- Socratic Questioning -- Quaker Dialogues…”
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Reservoir engineering in modern oilfields : vertical, deviated, horizontal, and multilateral well systems by Chin, Wilson C.

Table of Contents: “…Stratigraphic grids, drilling dome-shaped structures.…”
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Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

Table of Contents: “…Solving the taxi problem using Q learningSARSA; Solving the taxi problem using SARSA; The difference between Q learning and SARSA; Summary; Questions; Further reading; Chapter 6: Multi-Armed Bandit Problem; The MAB problem; The epsilon-greedy policy; The softmax exploration algorithm; The upper confidence bound algorithm; The Thompson sampling algorithm; Applications of MAB; Identifying the right advertisement banner using MAB; Contextual bandits; Summary; Questions; Further reading; Chapter 7: Deep Learning Fundamentals; Artificial neurons; ANNs; Input layer; Hidden layer; Output layer.…”
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Curves and Surfaces for CAGD : a Practical Guide. by Farin, Gerald

Table of Contents: “…Coons Patches; Chapter 23. Shape; Chapter 24. Evaluation of Some Methods; App.…”
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Novel Trends in Production Devices and Systems II : Special Topic Volume with Invited Peer Reviewed Papers Only

Table of Contents: “…Input Control in Production System by Simulation OptimizationThe Options of Using Data Mining Methods in Process Control; Synographical Approach to Dynamical Systems Analysis; Optimization of Technical System by Using FTA and Genetic Algorithm; Improving the Sustainability and Effectiveness of the Inventory Management in Manufacturing Company; Improving the Quality of Manufacturing Process through Six Sigma Application in the Automotive Industry; Genetic Algorithms in Test Design Automation; Reflections on the Opportunities of Multicriteria Optimization within Simulation Studies.…”
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Biomechanics : optimization, uncertainties and reliability by Kharmanda, Ghias, El Hami, Abdelkhalak

Table of Contents: “…Sizing optimization; 1.4. Shape optimization; 1.5. Topology optimization; 1.6. …”
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Smart buildings, smart communities and demand response

Table of Contents: “…Demand Response in Smart Zero Energy Buildings and Grids / Nikos Kampelis -- DR in Smart and Near-zero Energy Buildings: The Leaf Community / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- Performance of Industrial and Residential Near-zero Energy Buildings / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- HVAC Optimization Genetic Algorithm for Industrial Near-Zero Energy Building Demand Response / Nikos Kampelis, Nikolaos Sifakis, Denia Kolokotsa, Konstantinos Gobakis, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Smart Grid/Community Load Shifting GA Optimization Based on Day-ahead ANN Power Predictions / Nikos Kampelis, Elisavet Tsekeri, Denia Kolokotsa, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Conclusions and Recommendations.…”
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Emergence and collapse of early villages : models of central mesa verde archaeology

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Advances in structures analysis : special topic volume with invited peer reviewed papers only

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From science to computational sciences : studies in the history of computing and its influence on today's sciences

Table of Contents: “…Explanatory and Predictive Functions of Simulation Modelling Case: Haemophilus Influenzae Type b Dynamic Transmission Models / Erika MansnerusResearch Technology, the Computer, and Scientific Advance / Renate Mayntz; Shaping Reality with Algorithms: The Earth System / Johann Feichter; Uncertainty in Grammar / The Grammar of Uncertainty: Some Remarks on the Future Perfect / Peter Bexte; IV. …”
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OpenCV 3.x with Python By Example : Make the most of OpenCV and Python to build applications for object recognition and augmented reality. by Joshi, Prateek

Table of Contents: “…; Summary; Chapter 7: Detecting Shapes and Segmenting an Image; Contour analysis and shape matching; Approximating a contour; Identifying a pizza with a slice taken out; How to censor a shape?…”
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MATLAB for Machine Learning. by Ciaburro, Giuseppe

Table of Contents: “…Multiple linear regression with categorical predictorPolynomial regression; Regression Learner App; Summary; Chapter 5: Pattern Recognition through Classification Algorithms; Predicting a response by decision trees; Probabilistic classification algorithms -- Naive Bayes; Basic concepts of probability; Classifying with Naive Bayes; Bayesian methodologies in MATLAB; Describing differences by discriminant analysis; Find similarities using nearest neighbor classifiers; Classification Learner app; Summary; Chapter 6: Identifying Groups of Data Using Clustering Methods; Introduction to clustering.…”
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Artificial Neural Network Applications for Software Reliability Prediction. by Bisi, Manjubala

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