Machine Learning and Intelligent Communications: 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 294
Editat de Xiangping Bryce Zhai, Bing Chen, Kun Zhuen Limba Engleză Paperback – 28 oct 2019
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Specificații
ISBN-13: 9783030323875
ISBN-10: 3030323870
Pagini: 795
Ilustrații: XVI, 795 p. 366 illus., 259 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.12 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030323870
Pagini: 795
Ilustrații: XVI, 795 p. 366 illus., 259 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.12 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
Cuprins
Wireless Networks.- High-Dimensional Data Anomaly Detection Framework Based on Feature Extraction of Elastic Network.- A Drone Formation Transformation Approach.- The principle and design of Separate fingerprint identification system LTE antenna port number detection algorithm based on channel estimation and piecewise linear regression.- Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity.- Multi-destination two-hop untrusted AF relay networks with destination-aided cooperative jamming.- Secrecy Sum Rate for Two-way Untrusted Relay in SCMA Networks.- Improving complex network controllability via link prediction.- Communications.- Rectangular waveguide design optimization by sequential nonlinear programming and genetic algorithm.- Noise Reduction in Network Embedding.- Indoor localization Based on Centroid Constraints of AP Quadrilateral Networks.- Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach.- A Q-Learning-based Channel Selection and Data Scheduling Approach for High-frequency Communications in Jamming Environment.- RFID Indoor Location Based on Optimized Generalized Regression Neural Network.- Beacon in the Air: Optimizing Data Delivery for Wireless.- Energy Powered UAVs.- Power Optimization in Wireless Powered based Mobile.- Edge Computing.- Big Data and Internet of Things.- Predicting Socio-economic Levels of Individuals via App.- Usage Records.- Multiple Task Assignment for Cooperating Homogeneous.- Unmanned Aerial Vehicles.- Design of Overall Framework of Self-Service Big Data.- Governance for Power Grid.- Data cleaning Based on Multi-sensor Spatiotemporal Correlation.- Distributed Hierarchical Fault Diagnosis Based on Sparse Auto-encoder and Random Forest.- A Data Quality Improvement Method Based on the Greedy Algorithm.- Research of Lightweight Encryption Algorithm Based on AES and Chaotic Sequences for Narrow-Band Internet of Things.- Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting.- Smart Internet of Things.- A smart wearable device for preventing indoor electric shock hazards.- A VLP approach based on a single LED lamp.- A Method of Calculating the Semantic Similarity between English and Chinese Concepts.- A Bicycle-borne Sensor Node for Monitoring Air Pollution based on NB-IoT.- Power Beacons Deployment in Wireless Powered Communication with Truncated Poisson Cluster Process.- Mobile Edge Computing-Enabled Resource Allocation for Ultra-Reliable and Low-Latency Communications.- A Bayesian Method for Link Prediction with Considering Path Information.- Identifying sources of random walk-based epidemic spreading in networks.- Design of intelligent lighting system for office workplace based on ZigBee Technology.- Machine Learning.- Active Sampling Based on MMD for Model Adaptation.- Optimal Dwell Time for Frequency Hopping in a Stackelberg Game with a Smart Jammer.- An Active Noise Correction Graph Embedding Method.- Applications of Machine Learning.- Trajectory Data for Demand Analysis.- Reinforcement Learning for HEVC Screen Content Intra.