Machine Learning for Networking

Table of Contents

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   Book Overview
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   Chapter 1 Better Anomaly Detection for Access Attacks Using Deep Bidirectional LSTMs
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   Chapter 2 Using Machine Learning to Quantify the Robustness of Network Controllability
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   Chapter 3 Configuration Faults Detection in IP Virtual Private Networks Based on Machine Learning
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   Chapter 4 Improving Android Malware Detection Through Dimensionality Reduction Techniques
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   Chapter 5 A Regret Minimization Approach to Frameless Irregular Repetition Slotted Aloha: IRSA-RM
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   Chapter 6 Mobility Based Genetic Algorithm for Heterogeneous Wireless Networks
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   Chapter 7 Geographical Information Based Clustering Algorithm for Internet of Vehicles
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   Chapter 8 Active Probing for Improved Machine-Learned Recognition of Network Traffic
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    Chapter 9 A Dynamic Time Warping and Deep Neural Network Ensemble for Online Signature Verification
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    Chapter 10 Performance Evaluation of Some Machine Learning Algorithms for Security Intrusion Detection
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    Chapter 11 Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection
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    Chapter 12 Learning Resource Allocation Algorithms for Cellular Networks
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    Chapter 13 Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning
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    Chapter 14 Deep Learning-Aided Spatial Multiplexing with Index Modulation
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    Chapter 15 A Self-gated Activation Function SINSIG Based on the Sine Trigonometric for Neural Network Models
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    Chapter 16 Spectral Analysis for Automatic Speech Recognition and Enhancement
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    Chapter 17 Road Sign Identification with Convolutional Neural Network Using TensorFlow
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    Chapter 18 A Semi-automated Approach for Identification of Trends in Android Ransomware Literature
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    Chapter 19 Towards Machine Learning in Distributed Array DBMS: Networking Considerations
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    Chapter 20 Deep Learning Environment Perception and Self-tracking for Autonomous and Connected Vehicles
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    Chapter 21 Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks
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    Chapter 22 Identifying Device Types for Anomaly Detection in IoT
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    Chapter 23 A Novel Heuristic Optimization Algorithm for Solving the Delay-Constrained Least-Cost Problem
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    Chapter 24 Terms Extraction from Clustered Web Search Results