Search Results - (((((((ant OR want) OR semantic) OR arte) OR cantor) OR anne) OR maarten) OR mantis) algorithms.

  1. 301
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    Modelling for coastal hydraulics and engineering by Chau, Kwok Wing

    Published 2010
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  3. 303

    From text to political positions : text analysis across disciplines

    Published 2014
    Table of Contents: “…Conditional probabilities and associative framing ; Semantic network analysis.…”
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  4. 304

    Challenges in information technology management

    Published 2008
    Table of Contents: “…Improved data mining algorithms for frequent patterns with composite items / Ke Wang, James N.K. …”
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    Electronic Conference Proceeding eBook
  5. 305

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

    Published 2021
    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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  6. 306

    Meeting security challenges through data analytics and decision support

    Published 2016
    Table of Contents: “…Counter Terrorism: Methodology and Applications; Arguing About Uncertain Heterogeneous Information for Threat Assessment; Intelligence Analysis: Needs and Solutions; Building Agile Human/Machine Teams with Controlled Natural Language; Military Usages of Speech and Language Technologies: A Review; Comparative Studies on Using Semantic Filtering for Open Relation Identification; Towards an Integration of Fusion of Information and Analytics Technologies (FIAT) to Improve Dependability and Security in Complex Systems; Data Fusion and Response Management.…”
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    Electronic Conference Proceeding eBook
  7. 307

    Fuzzy systems and data mining II : proceedings of FSDM 2016

    Published 2016
    Table of Contents: “…Adaptive Fuzzy Sliding-Mode Control of Robot and SimulationHesitant Bipolar Fuzzy Set and Its Application in Decision Making; Chance Constrained Twin Support Vector Machine for Uncertain Pattern Classification; Set-Theoretic Kripke-Style Semantics for Monoidal T-Norm (Based) Logics; Data Mining; Dynamic Itemset Mining Under Multiple Support Thresholds; Deep Learning with Large Scale Dataset for Credit Card Data Analysis; Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling; Priority Guaranteed and Energy Efficient Routing in Data Center Networks.…”
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    Electronic Conference Proceeding eBook
  8. 308

    Smart buildings, smart communities and demand response

    Published 2021
    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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  9. 309

    OpenCV Android Programming By Example. by Muhammad, Amgad

    Published 2015
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  10. 310

    Apache Spark for Data Science Cookbook. by Chitturi, Padma Priya

    Published 2016
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    Evolutionary optimization

    Published 2002
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  13. 313
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    Big Data and HPC. by Grandinetti, L.

    Published 2018
    Table of Contents: “…Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem.…”
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  15. 315

    MATLAB for Machine Learning. by Ciaburro, Giuseppe

    Published 2017
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  16. 316

    Database technology for life sciences and medicine

    Published 2010
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    Large Aperture Array Radar Systems for Automotive Applications. by Schwartau, Fabian

    Published 2021
    Table of Contents: “…Optimization Algorithm -- Final Design -- Array Analysis -- Link-Budget -- Signal Processing Flow -- Summary -- 3.1 State of the Art -- 3.2 Requirements -- 3.3 Array Design -- 3.4 Array Analysis -- 3.5 Link-Budget -- 3.6 Signal Processing Flow -- 3.7 Summary -- Synchronization Demonstrator -- Hardware and Concept -- Radar Chips -- Module Hardware -- Module Synchronization -- Antenna Elements and Array -- Calibration -- System Parameters, Software and Signal Processing -- Simulations, Measurements and Results -- Summary -- 4.1 Hardware and Concept -- 4.2 Calibration…”
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  19. 319

    Algebraic Multigrid for the Multi-Ion Transport and Reaction Model - a Physics-Aware Approach by Thum, Peter

    Published 2013
    Table of Contents: “…4.5 Sorting Algorithms4.6 Scalar Example; 4.7 Reordering Framework for the MITReM; 5 The Heuristic Peclet Number; 5.1 Heuristic Peclet Number for Scalar Equations; 5.2 Heuristic Peclet Number for Systems of PDEs; 6 A Physics-Aware Point-Based AMG Approach (PAMG) for the Migration-Diffusion System; 6.1 The Migration-Diffusion System; 6.2 State-of-the-Art PAMG Approaches; 6.3 The Physics-Aware Primary Matrix; 6.4 PAMG for a Locally Violated Peclet Condition; 6.5 The Final Physics-Aware PAMG Approach; 7 A Physics-Aware PAMG Approach for the MITReM; 7.1 The MITReM System…”
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  20. 320

    Foundations of decision-making agents : logic, probability and modality by Das, Subrata Kumar

    Published 2008
    Table of Contents: “…Complexity of inference algorithms. 6.9. Acquisition of probabilities. 6.10. …”
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