Search Results - (((((((ant OR hands) OR wantis) OR makant) OR cantor) OR anne) OR share) OR hints) algorithms.

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    Orthopaedic hand trauma by Eltorai, Adam, Akelman, Edward

    Published 2019
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    Pattern Recognition. by Theodoridis, Sergios

    Published 2008
    Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
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    Signal processing for 5G : algorithms and implementations

    Published 2016
    Table of Contents: “…An Introduction to Modulations and Waveforms for 5G Networks / Stefano Buzzi, Alessandro Ugolini, Alessio Zappone, Giulio Colavolpe -- Faster-than-Nyquist Signaling for 5G Communication / John B Anderson -- From OFDM to FBMC: Principles and Comparisons / Wei Jiang, Thomas Kaiser -- Filter Bank Multicarrier for Massive MIMO / Arman Farhang, Nicola Marchetti, Behrouz Farhang-Boroujeny -- Bandwidth-compressed Multicarrier Communication: SEFDM / Izzat Darwazeh, Tongyang Xu, Ryan C Grammenos -- Non-orthogonal Multi-User Superposition and Shared Access / Yifei Yuan -- Non-Orthogonal Multiple Access (NOMA): Concept and Design / Anass Benjebbour, Keisuke Saito, Anxin Li, Yoshihisa Kishiyama, Takehiro Nakamura -- Major 5G Waveform Candidates: Overview and Comparison / Hao Lin, Pierre Siohan -- NEW SPATIAL SIGNAL PROCESSING FOR 5G. …”
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    Graph algorithms and applications 3

    Published 2004
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    Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

    Published 2013
    Table of Contents: “…Ant colony optimization…”
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    Pedestrian Detection Algorithms using Shearlets. by Pfeifer, Lienhard

    Published 2019
    Table of Contents: “…4.3 Conclusion5 Pedestrian Detection using Shearlet Features; 5.1 Pedestrian Detection using Hand-crafted Features; 5.2 Shearlet Image Features; 5.3 Shearlet Filterbank; 5.4 Implementation Details; 5.5 Experiments; 5.5.1 Detection Framework Settings; 5.5.2 Image Feature Experiments; 5.5.3 Filterbank Experiments; 5.6 Conclusion; 6 Deep Learning with Shearlets; 6.1 Introduction on Neural Networks; 6.1.1 Artificial Neural Networks; 6.1.2 Convolutional Neural Networks; 6.1.3 Pedestrian Detection Algorithms using CNNs; 6.2 Integration of Shearlets in CNNs; 6.2.1 Related Work…”
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    Hands-On Blockchain with Hyperledger : Building Decentralized Applications with Hyperledger Fabric and Composer. by Baset, Salman

    Published 2018
    Table of Contents: “…Decentralization with systemic governanceEnterprise support; Use case-driven pluggability choices; Shared ledger technology; Consensus; Crypto algorithms and encryption technology; Use case-driven pluggable choices; Enterprise integration and designing for extensibility; Other considerations; Consensus, ACID property, and CAP; CAP; ACID; Attestation -- SSCs are signed and encrypted; Use of HSMs; Summary; Chapter 2: Exploring Hyperledger Fabric; Building on the foundations of open computing; Fundamentals of the Hyperledger project; The Linux Foundation ; Hyperledger.…”
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    Hands-On Deep Learning with TensorFlow. by Boxel, Dan Van

    Published 2017
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    A Hands-On Guide to Designing Embedded Systems. by Taylor, Adam

    Published 2021
    Table of Contents: “…-- 3.7 Finite State Machine Design -- 3.7.1 Defining a State Machine -- 3.7.2 Algorithmic State Diagrams -- 3.7.3 Moore or Mealy: What Should I Choose? …”
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    Sharing economy and big data analytics by Sedkaoui, Soraya, Khelfaoui, Mounia

    Published 2020
    Table of Contents: “…The Sharing Economy or the Emergence of a New Business Model. …”
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    Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

    Published 2018
    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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