Search Results - (((((((ant OR kwants) OR wantis) OR makkant) OR cantor) OR anne) OR share) OR hints) algorithms.

  1. 121

    DSP with Python Programming. by Charbit, Maurice

    Published 2017
    Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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  2. 122

    Focus on artificial neural networks

    Published 2011
    Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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  3. 123

    Metaheuristics for vehicle routing problems. by Labadie, Nacima

    Published 2015
    Table of Contents: “…Memetic algorithm; 4.1.3. Memetic algorithm with population management; 4.1.4. …”
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  4. 124

    Industrial control systems

    Published 2011
    Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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  5. 125
  6. 126

    Automata and Computability. by Kozen, Dexter, 1951-

    Published 1997
    Table of Contents: “…Miscellaneous Exercises Turing Machines and Effective ComputabilityHints for Selected Miscellaneous Exercises; Solutions to Selected Miscellaneous Exercises; References; Notation and Abbreviations; Index.…”
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  7. 127

    QoS and Energy Management in Cognitive Radio Network : Case Study Approach. by Mishra, Vishram

    Published 2016
    Table of Contents: “…1.6.1 Channel Selection in CR Based Infrastructure Network1.6.2 Channel Selection in CR Based Ad-hoc Network; 1.7 MAC Protocols for Cognitive Radio Networks; 1.7.1 Random Access Based MAC Scheme; 1.7.2 Time-Slotted Based MAC Scheme; 1.8 Self-coexistence in Cognitive Radio Networks; 1.8.1 Resource Relocation Based Self-coexistence; 1.8.2 Resource Sharing Based Self-coexistence; 1.9 Discussion; References; 2 Cognitive Radio Network- A Review; 2.1 Spectrum Management; 2.1.1 Ant Colony Optimization Based Spectrum Management; 2.1.2 Non-linear Optimization Based Spectrum Management.…”
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  8. 128
  9. 129

    Java programming interviews exposed by Markham, Noel

    Published 2014
    Table of Contents: “…Chapter 18: Useful LibrariesRemoving Boilerplate Code with Apache Commons; Developing with Guava Collections; Using Joda Time; Summary; Chapter 19: Developing with Build Tools; Building Applications with Maven; Ant; Summary; Chapter 20: Android; Basics; User Interface; Persistence; Android Hardware; Summary; Appendix: Introducing Scala; Scala Basics; Functions as Values; Immutability; Summary; Index.…”
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  10. 130

    Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

    Published 2009
    Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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  11. 131

    High Performance Computing Systems and Applications & OSCAR Symposium. by International Symposium on High Performance Computing Systems and Applications (17th : 2003 : Sherbrooke, Quebec)

    Published 2003
    Table of Contents: “…""The Impact of Hyper-Threading on Communication Performance in HPC Clusters""""A Preliminary Feasibility Study of the LARPBS Optical Bus Parallel Model""; ""Efficient Broadcast on Computational Grids""; ""The Canadian Internetworked Scientific Supercomputer""; ""Distributed Beagle: An Environment for Parallel and Distributed Evolutionary Computations""; ""A Brief Introduction to UPC""; ""SCOJO -- Share-Based Job Coscheduling with Integrated Dynamic Resource Directory in Support Or Grid Scheduling""…”
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  12. 132

    Comorbidity in migraine

    Published 2011
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  13. 133
  14. 134

    Applied Parallel Computing. by Deng, Yuefan

    Published 2012
    Table of Contents: “…Design of Algorithms; 5.1. Algorithm Models; 5.1.1. Master-slave; 5.1.2. …”
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  15. 135

    Eat, cook, grow : mixing human-computer interactions with human-food interactions

    Published 2014
    Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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  16. 136

    Computers and information processing technologies I : selected, peer reviewed papers from the 2014 International Conference on Computers and Information Processing Technologies (IC...

    Published 2014
    Table of Contents: “…The MPI and OpenMP Implementation of Parallel Algorithm for Generating Mandelbrot SetAdaptive Congestion Control via Dynamic Output Feedback; An Advanced ECC Dynamic Password-Based Remote Authentication Scheme for Cloud Computing; An Audio Hiding Algorithm Based on Spline Interpolation and Wavelet Transform; Evaluation Method for Anti-Interference Performance of Measuring Based on Entropy Loss; RE-Based Weighted Distributed Equipment Layout; Algorithms of Mining Maximum Frequent Itemsets Based on Compression Matrix; A Secret Sharing Scheme on Access Structure.…”
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    Electronic Conference Proceeding eBook
  17. 137

    Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

    Published 2015
    Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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  18. 138
  19. 139

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

    Published 2018
    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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  20. 140