Search Results - (((((((kant OR wantis) OR granting) OR makart) OR cantor) OR anne) OR shared) OR hints) algorithms.

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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Cryptography 101 : From Theory to Practice. by Oppliger, Rolf

Table of Contents: “…12.2.3 Asymmetric Encryption-Based Key Distribution Protocol -- 12.3 KEY AGREEMENT -- 12.4 QUANTUM CRYPTOGRAPHY -- 12.4.1 Basic Principles -- 12.4.2 Quantum Key Exchange Protocol -- 12.4.3 Historical and Recent Developments -- 12.5 FINAL REMARKS -- References -- Chapter 13 Asymmetric Encryption -- 13.1 INTRODUCTION -- 13.2 PROBABILISTIC ENCRYPTION -- 13.2.1 Algorithms -- 13.2.2 Assessment -- 13.3 ASYMMETRIC ENCRYPTION SYSTEMS -- 13.3.1 RSA -- 13.3.2 Rabin -- 13.3.3 Elgamal -- 13.3.4 Cramer-Shoup -- 13.4 IDENTITY-BASED ENCRYPTION -- 13.5 FULLY HOMOMORPHIC ENCRYPTION -- 13.6 FINAL REMARKS -- References -- Chapter 14 Digital Signatures -- 14.1 INTRODUCTION -- 14.2 DIGITAL SIGNATURE SYSTEMS -- 14.2.1 RSA -- 14.2.2 PSS and PSS-R -- 14.2.3 Rabin -- 14.2.4 Elgamal -- 14.2.5 Schnorr -- 14.2.6 DSA -- 14.2.7 ECDSA -- 14.2.8 Cramer-Shoup -- 14.3 IDENTITY-BASED SIGNATURES -- 14.4 ONE-TIME SIGNATURES -- 14.5 VARIANTS -- 14.5.1 Blind Signatures -- 14.5.2 Undeniable Signatures -- 14.5.3 Fail-Stop Signatures -- 14.5.4 Group Signatures -- 14.6 FINAL REMARKS -- References -- Chapter 15 Zero-Knowledge Proofs of Knowledge -- 15.1 INTRODUCTION -- 15.2 ZERO-KNOWLEDGE AUTHENTICATION PROTOCOLS -- 15.2.1 Fiat-Shamir -- 15.2.2 Guillou-Quisquater -- 15.2.3 Schnorr -- 15.3 NONINTERACTIVE ZERO-KNOWLEDGE -- 15.4 FINAL REMARKS -- References -- Part IV CONCLUSIONS -- Chapter 16 Key Management -- 16.1 INTRODUCTION -- 16.1.1 Key Generation -- 16.1.2 Key Distribution -- 16.1.3 Key Storage -- 16.1.4 Key Destruction -- 16.2 SECRET SHARING -- 16.2.1 Shamir's System -- 16.2.2 Blakley's System -- 16.2.3 Verifiable Secret Sharing -- 16.2.4 Visual Cryptography -- 16.3 KEY RECOVERY -- 16.4 CERTIFICATE MANAGEMENT -- 16.4.1 Introduction -- 16.4.2 X.509 Certificates -- 16.4.3 OpenPGP Certificates -- 16.4.4 State of the Art -- 16.5 FINAL REMARKS -- References -- Chapter 17 Summary.…”
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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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Computational models of argument : proceedings of COMMA 2014

Table of Contents: “…Properties of Random VAFs and Implications for Efficient AlgorithmsResolution-Based Grounded Semantics Revisited -- Decomposing Abstract Dialectical Frameworks -- A Principled Approach to the Implementation of Argumentation Models -- Combining Paraconsistent Logic with Argumentation -- Probabilistic Argument Graphs for Argumentation Lotteries -- Enthymeme Construction in Dialogues Using Shared Knowledge -- Strategies in Dialogues: A Game-Theoretic Approach -- Argumentation Logic -- Splitting Abstract Dialectical Frameworks…”
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Social sensing : building reliable systems on unreliable data by Wang, Dong, Abdelzaher, Tarek, Kaplan, Lance

Table of Contents: “…4.3.2 Source Credibility4.4 The Iterative Algorithm; 4.5 Examples and Results; 4.6 Discussion; Appendix; Chapter 5: Social Sensing: A maximum likelihood estimation approach; 5.1 The Social Sensing Problem; 5.2 Expectation Maximization; 5.2.1 Background; 5.2.2 Mathematical Formulation; 5.2.3 Deriving the E-Step and M-Step; 5.3 The EM Fact-Finding Algorithm; 5.4 Examples and Results; 5.4.1 A Simulation Study; 5.4.2 A Geotagging Case Study; 5.4.3 A Real World Application; 5.5 Discussion; Chapter 6: Confidence bounds in social sensing; 6.1 The Reliability Assurance Problem.…”
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More and different : notes from a thoughtful curmudgeon by Anderson, P. W. (Philip W.), 1923-2020

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Solving transport problems : towards green logistics

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Artificial Neural Network Applications for Software Reliability Prediction. by Bisi, Manjubala

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Artificial intelligent techniques for electric and hybrid electric vehicles

Table of Contents: “…2.6 PID Controller -- 2.7 Fuzzy Control -- 2.8 Auto-Tuning Type Fuzzy PID Controller -- 2.9 Genetic Algorithm -- 2.10 Artificial Neural Network-Based Controller -- 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles -- 3.1 Introduction -- 3.2 Basic Components of an Active Magnetic Bearing (AMB) -- 3.2.1 Electromagnet Actuator…”
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Medical data privacy handbook

Table of Contents: “…Introduction to Medical Privacy -- A survey of anonymization algorithms for electronic health records -- Differentially Private Histogram and Synthetic Data Publication -- Evaluating the Utility of Differential Privacy -- SECRETA -- Putting Statistical Disclosure Control into Practice -- Utility-constrained Electronic Health Record Data Publishing Through Generalization and Disassociation -- Methods to Mitigate Risk of Composition Attack in Independent Data Publications -- Statistical Disclosure Limitation for Health Data -- A Review of Privacy Preserving Mechanisms for Record Linkage -- Application of Privacy Preserving Techniques in Operational Record Linkage Centres -- Privacy Considerations for Health Information Exchanges -- Managing Access Control in Collaborative Processes for Healthcare Applications -- Automating Consent Management Lifecycle for Electronic Healthcare Systems -- e-Health Cloud -- Preserving Genome Privacy in Research Studies -- Private Genome Data Dissemination -- Threats and Solutions for Genomic Data Privacy -- Medical Image Security -- Privacy Considerations and Techniques for Neuroimages -- Data Privacy Issues with RFID in Healthcare -- Privacy Preserving Classification of ECG Signals in Mobile e-Health Applications -- Strengthening Privacy in Healthcare Social Networks -- Privacy Law, Data Sharing Policies, and Medical Data -- HIPAA and Human Error -- De-identification of Unstructured Clinical Data for Patient Privacy Protection -- Challenges in Synthesizing Surrogate PHI in Narrative EMRs -- Building on Principles -- Epilogue.…”
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Cryptography : protocols, design, and applications

Table of Contents: “…Quantum Protocol for Sharing Classical Information; 9.3. Quantum Protocol for Sharing Quantum Information; 10. …”
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Numerical models for submerged breakwaters : coastal hydrodynamics and morphodynamics by Ahmadian, Amir Sharif

Table of Contents: “…3 Literature Review and BackgroundReferences; 4 Theories and Methodologies; 4.1 Introduction; 4.2 Traditional Models for Water Waves; 4.3 New Approaches; 4.3.1 Meshless Methods; 4.3.2 Artificial Intelligence Methods; MLP Networks; Back-Propagation Algorithm; Levenberg-Marquardt Algorithm; RBF Networks; References; 5 Mathematical Modeling and Algorithm Development; 5.1 Navier-Stokes Equations; 5.2 The Turbulent Model; 5.3 Initial and Boundary Conditions; 5.4 Shallow Waters; 5.5 The Extended Mild-Slope Equation; 5.6 Boussinesq Equations; 5.7 Smoothed Particles Hydrodynamics.…”
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Automatic Modeling and Fault Diagnosis of Timed Concurrent Discrete Event Systems : Automatische Modellierung und Fehlerdiagnose Zeitlicher Nebenläufiger Ereignisdiskreter Systeme.... by Schneider, Stefan

Table of Contents: “…3.3.3 Precision and Completeness Properties3.3.4 Identification Parameters; 3.4 Timed Distributed Modeling; 3.5 Identification of Timed Distributed Models; 3.5.1 Timed Distributed Identification Approach; 3.5.2 Precision and Completeness Properties; 3.5.3 Discussion on Shared I/Os; 3.6 Identification of Timed Distributed BMS Models; 3.6.1 Data Collection; 3.6.2 Timed Distributed Identification; 4 Partitioning of DES Models; 4.1 Preliminaries; 4.2 Causal Partitioning; 4.2.1 Distance and Causality; 4.2.2 Causal Partitioning Algorithm; 4.3 Optimal Partitioning; 4.3.1 Optimization Approach.…”
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Parallel Programming with Python. by Palach, Jan

Table of Contents: “…; Exploring common forms of parallelization; Communicating in parallel programming; Understanding shared state; Understanding message passing; Identifying parallel programming problems; Deadlock; Starvation; Race conditions; Discovering Python's parallel programming tools; The Python threading module; The Python multiprocessing module.…”
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Knowledge-based Intelligent System. by Jang, Hyejung

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Data Science : The Executive Summary - a Technical Book for Non-Technical Professionals. by Cady, Field

Table of Contents: “…Chapter 3 Working with Modern Data -- 3.1 Unstructured Data and Passive Collection -- 3.2 Data Types and Sources -- 3.3 Data Formats -- 3.3.1 CSV Files -- 3.3.2 JSON Files -- 3.3.3 XML and HTML -- 3.4 Databases -- 3.4.1 Relational Databases and Document Stores -- 3.4.2 Database Operations -- 3.5 Data Analytics Software Architectures -- 3.5.1 Shared Storage -- 3.5.2 Shared Relational Database -- 3.5.3 Document Store + Analytics RDB -- 3.5.4 Storage + Parallel Processing -- Chapter 4 Telling the Story, Summarizing Data -- 4.1 Choosing What to Measure…”
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Challenges and opportunities of HealthGrids : proceedings of Healthgrid 2006

Table of Contents: “…Early Diagnosis of Alzheimer's Disease Using a Grid Implementation of Statistical Parametric Mapping AnalysisUsing the Grid to Analyze the Pharmacokinetic Modelling After Contrast Administration in Dynamic MRI; Medical Image Registration Algorithms Assessment: Bronze Standard Application Enactment on Grids Using the MOTEUR Workflow Engine; Ethical, Legal and Privacy Issues on HealthGrids; The Ban on Processing Medical Data in European Law: Consent and Alternative Solutions to Legitimate Processing of Medical Data in HealthGrid.…”
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Introduction to Modern Algebra and Its Applications. by Gubareni, Nadiya

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Database technology for life sciences and medicine

Table of Contents: “…The DIANOVA framework. 4.4. Algorithms for realizing DIANOVA. 4.5. Extensions of DIANOVA. 4.6. …”
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The Oil Spill Recovery Institute : past, present, and future directions

Table of Contents: “…STATUS OF NOWCAST/FORECAST MODEL COMPONENTS -- Hydrodynamics Model -- Atmospheric Model -- Oil Spill Trajectory and Fates Model -- Biological Effects Modeling -- SCIENTIFIC SIGNIFICANCE AND IMPORTANCE -- FUTURE DIRECTIONS -- Hydrodynamics and Transport in Oil Spill Model -- Chemistry and Oil-Weathering Algorithms -- Spreading -- Evaporation from (Thicker) Emulsified Oil -- Emulsification -- Dispersed Oil Droplet-SPM Interactions -- Biological Effects -- SUMMARY -- 8 Education and Outreach Activities -- FUTURE DIRECTIONS -- 9 Findings and Recommendations -- STRATEGIC PLANNING -- PROGRAM BALANCE AND RESPONSIVENESS TO MISSION -- MODELING AND REAL-TIME OIL SPILL RESPONSE -- GEOGRAPHIC FOCUS -- PROGRAM OVERSIGHT -- FAIRNESS ISSUES -- ACTIONS NEEDED -- ORGANIZATION AND ADMINISTRATION -- GRANT AWARD POLICIES AND PROCEDURES -- PROGRAM PLANNING -- PREDICTIVE ECOLOGY -- APPLIED TECHNOLOGY -- PROGRAM BALANCE -- MODELING -- EDUCATION AND OUTREACH -- References -- Appendixes -- A Committee Biosketches -- B OSRI Bylaws -- Table of Contents -- Article I. …”
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