Search Results - (((((((ant OR swantee) OR arts) OR carters) OR cantor) OR anne) OR wkantin) OR anting) algorithms.

Insect media : an archaeology of animals and technology by Parikka, Jussi, 1976-

Table of Contents: “…Introduction: insects in the age of technology -- Nineteenth-century insect technics the uncanny affects of insects -- Genesis of form: insect architecture and swarms -- Technics of nature and temporality: Uexküll's ethology -- Metamorphosis, intensity, and devouring space: elements for an insect game theory -- Intermezzo -- Animal ensembles, robotic affects: bees, milieus, and individuation -- Biomorphs and boids: swarming algorithms -- Sexual selection in the biodigital: teknolust and the weird life of SRAs -- Epilogue insect media as an art of transmutation.…”
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An Eulerian Discontinuous Galerkin Method for the Numerical Simulation of Interfacial Transport. by Kallendorf, Christina

Table of Contents: “…List of Figures; Nomenclature; List of Tables; Nomenclature; 1 Introduction; 2 Equations of the Physical Model; 3 State of the Art of Numerical Methods; 4 An Introduction to DG Methods; 5 New Conservation Laws of SurfaceTransport Equations; 6 Exact Solutions to the Interfacial Surfactant Transport Equation; 7 A Narrow Band Method for the Eulerian Approach; 8 The Eulerian DG Algorithm and Numerical Results; 9 Conclusion; A Appendix.…”
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Optimization in polymer processing

Table of Contents: “…INTRODUCTION ; 2. STATE-OF-THE-ART ; 3. OPTIMIZATION METHODOLOGY.…”
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Cryptography 101 : From Theory to Practice. by Oppliger, Rolf

Table of Contents: “…Intro -- Cryptography 101: From Theory to Practice -- Contents -- Foreword -- Preface -- References -- Acknowledgments -- Chapter 1 Introduction -- 1.1 CRYPTOLOGY -- 1.2 CRYPTOGRAPHIC SYSTEMS -- 1.2.1 Classes of Cryptographic Systems -- 1.2.2 Secure Cryptographic Systems -- 1.3 HISTORICAL BACKGROUND INFORMATION -- 1.4 OUTLINE OF THE BOOK -- References -- Chapter 2 Cryptographic Systems -- 2.1 UNKEYED CRYPTOSYSTEMS -- 2.1.1 Random Generators -- 2.1.2 Random Functions -- 2.1.3 One-Way Functions -- 2.1.4 Cryptographic Hash Functions -- 2.2 SECRET KEY CRYPTOSYSTEMS -- 2.2.1 Pseudorandom Generators -- 2.2.2 Pseudorandom Functions -- 2.2.3 Symmetric Encryption -- 2.2.4 Message Authentication -- 2.2.5 Authenticated Encryption -- 2.3 PUBLIC KEY CRYPTOSYSTEMS -- 2.3.1 Key Establishment -- 2.3.2 Asymmetric Encryption Systems -- 2.4 FINAL REMARKS -- References -- Part I UNKEYEDC RYPTOSYSTEMS -- Chapter 3 Random Generators -- 3.1 INTRODUCTION -- 3.2 REALIZATIONS AND IMPLEMENTATIONS -- 3.2.1 Hardware-Based Random Generators -- 3.2.2 Software-Based Random Generators -- 3.2.3 Deskewing Techniques -- 3.3 STATISTICAL RANDOMNESS TESTING -- References -- Chapter 4 Random Functions -- 4.1 INTRODUCTION -- 4.2 IMPLEMENTATION -- 4.3 FINAL REMARKS -- Chapter 5 One-Way Functions -- 5.1 INTRODUCTION -- 5.2 CANDIDATE ONE-WAY FUNCTIONS -- 5.2.1 Discrete Exponentiation Function -- 5.2.2 RSA Function -- 5.2.3 Modular Square Function -- 5.3 INTEGER FACTORIZATION ALGORITHMS -- 5.3.1 Special-Purpose Algorithms -- 5.3.2 General-Purpose Algorithms -- 5.3.3 State of the Art -- 5.4 ALGORITHMS FOR COMPUTING DISCRETE LOGARITHMS -- 5.4.1 Generic Algorithms -- 5.4.2 Nongeneric (Special-Purpose) Algorithms -- 5.4.3 State of the Art -- 5.5 ELLIPTIC CURVE CRYPTOGRAPHY -- 5.6 FINAL REMARKS -- References -- Chapter 6 Cryptographic Hash Functions -- 6.1 INTRODUCTION.…”
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Introduction to network security : theory and practice by Wang, Jie, 1961-

Table of Contents: “…Front Matter -- Network Security Overview -- Data Encryption Algorithms -- Public-Key Cryptography and Key Management -- Data Authentication -- Network Security Protocols in Practice -- Wireless Network Security -- Cloud Security -- Network Perimeter Security -- Intrusion Detections -- The Art of Anti-Malicious Software -- 7-bit ASCII code -- SHA-512 Constants (in Hexadecimal) -- Data Compression Using ZIP -- Base64 Encoding -- Cracking WEP Keys Using WEPCrack -- Acronyms -- Further Readings -- Index.…”
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Machine Learning for Mobile : Practical Guide to Building Intelligent Mobile Applications Powered by Machine Learning. by Gopalakrishnan, Revathi

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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Behavioral formation : volatile design processes & the emergence of a strange specificity by Snooks, Roland

Table of Contents: “…Intro -- ACKNOWLEDGMENTS -- PREFACE -- INTRODUCTION -- BEHAVIORAL METHODOLOGIES -- FIBROUS ASSEMBLAGES -- FIBROUS TOWER -- POLYSCALAR TECTONICS -- MULTI-AGENT ALGORITHMS -- AGENTBODIES -- BABIY YAR MEMORIAL -- MANIFOLD SWARMS -- RMIT MACE -- BEHAVIORAL COMPOSITES -- COMPOSITE SWARM -- COMPOSITE WING -- RMIT MEETING PAVILION -- AGENTBODY PROTOTYPES -- NGV PAVILION -- STRIATED POLYMERS -- VOLATILITY -- AGENCY OF STRUCTURE -- STRANGE FEEDBACK -- YEOSU PAVILION -- NATIONAL ART MUSEUM OF CHINA -- STRANGE SPECIFICITY -- PAINTERLY FORMATION -- STIGMERGIC ROBOTICS -- CATALOG OF PROJECTS -- GLOSSARY OF TERMS -- BIBLIOGRAPHY.…”
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Pattern recognition by Theodoridis, Sergios, 1951-

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Debates in the digital humanities 2016

Table of Contents: “…The Differences Between Digital Humanities and Digital History / Stephen Robertson -- Digital History Perpetual Future Tense / Cameron Blevins -- Collections and/of Data: Art History and the Art Museum in the DH Mode / Matthew Battles and Michael Maizels -- Archaeology, the Digital Humanities, and the "Big Tent" / Ethan Watrall ; Navigating the Global Digital Humanities: Insights from Black Feminism / Roopika Risam. …”
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Machine Learning with Core ML : an IOS Developer's Guide to Implementing Machine Learning in Mobile Apps. by Newnham, Joshua

Table of Contents: “…Learning algorithms Auto insurance in Sweden; Supported learning algorithms; Considerations ; Summary; Chapter 3: Recognizing Objects in the World; Understanding images; Recognizing objects in the world; Capturing data ; Preprocessing the data; Performing inference ; Summary ; Chapter 4: Emotion Detection with CNNs; Facial expressions; Input data and preprocessing ; Bringing it all together; Summary ; Chapter 5: Locating Objects in the World; Object localization and object detection ; Converting Keras Tiny YOLO to Core ML; Making it easier to find photos; Optimizing with batches; Summary.…”
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Function Estimates. by Marron, J. S.

Table of Contents: “…Partial spline modelling of the tropopause and other discontinuitiesChoice of smoothing parameter in deconvolution problems -- Regression approximation using projections and isotropic kernels -- Will the art of smoothing ever become a science?…”
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Handbook of foot and ankle orthopedics by Shah, Rajiv

Table of Contents: “…-- Plantar heel pain -- Growing with flat feet: childhood to adulthood -- Lucid approach and simplistic management of diabetic foot -- Common foot and ankle infections: diagnosis and management -- Art of arthrodesis in foot and ankle -- Dealing with tendo achilles problems! …”
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Advances in time series forecasting. Volume 2

Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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Anaphora Resolution. by Mitkov, Ruslan

Table of Contents: “…4.1 Early work in anaphora resolution4.2 Student; 4.3 Shrdlu; 4.4 Lunar; 4.5 Hobbs's naïve approach; 4.5.1 The algorithm; 4.5.2 Evaluation of Hobbs' s algorithm; 4.6 The BFP algorithm; 4.7 Carter's shallow processing approach; 4.8 Rich and LuperFoy's distributed architecture; 4.9 Carbonell and Brown's multi-strategy approach; 4.10 Other work; 4.11 Summary; Chapter Five: The present: knowledge-poor and corpus-based approaches in the 1990s and beyond; 5.1 Main trends in recent anaphora resolution research; 5.2 Collocation patterns-based approach; 5.3 Lappin and Leass's algorithm; 5.3.1 Overview.…”
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Ultrashort Pulse Laser Ablation of Bulk Materials Using Shaped Laser Beams. by Mikhaylov, Dmitriy

Table of Contents: “…Intro -- 1 Introduction -- 2 Theoretical principles and state of the art -- 2.1 Ultrashort pulse laser technology for materialprocessing -- 2.2 Laser beam shaping -- 2.3 Liquid crystal on silicon spatial light modulators -- 2.4 Phase retrieval algorithms -- 3 Materials and methods -- 3.1 Processed materials -- 3.2 System components -- 3.3 Characterization methods -- 4 Theoretical calculation of limits for theincrease of volumetric ablation rate -- 4.1 Heat accumulation modeling for spatially shapedbeams -- 4.2 Ideal requirements on laser sources as well as beamshaping and guiding optics…”
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Mastering SciPy. by Blanco-Silva, Francisco J.

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PRINCIPLES OF QUANTUM ARTIFICIAL INTELLIGENCE. by Wichert, Andreas

Table of Contents: “…Computation; 2.1 Entscheidungsproblem; 2.1.1 Cantor's diagonal argument; 2.1.2 Reductio ad absurdum; 2.2 Complexity Theory; 2.2.1 Decision problems; 2.2.2 P and NP; 2.3 Church-Turing Thesis; 2.3.1 Church-Turing-Deutsch principle; 2.4 Computers; 2.4.1 Analog computers; 2.4.2 Digital computers; 2.4.3 Von Neumann architecture; 3. …”
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Pulmonary arterial hypertension : diagnosis and evidence-based treatment

Table of Contents: “…Combination therapy in pulmonary arterial hypertension / Anne Keogh and Marius Hoeper -- Interventional and surgical modalities of treatment for pulmonary arterial hypertension / Julio Sandoval and Ramona Doyle -- End points and clinical trial design in pulmonary arterial hypertension : clinical and regulatory perspectives / Andrew J. …”
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Graph Partitioning. by Bichot, Charles-Edmond

Table of Contents: “…Hendrickson-Leland coarsening algorithm; 2.3.4. The Heavy Edge Matching (HEM) algorithm; 2.4. …”
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