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Accepted papers

  • Active Sampling Based on MMD for Model Adaptation
  • An Active Noise Correction Graph Embedding Method Based on Active Learning for Graph Noisy Data
  • Noise Reduction in Network Embedding
  • Backscatter-aided Hybrid Data Offloading in Mobile Edge Computing via Deep Reinforcement Learning
  • Knoweldge graph embedding Based on Hyperplane and Quantitative Credibility
  • High-Dimensional Data Anomaly Detection Framework Based on Feature Extraction of Elastic Network
  • Sniffer Patrolling for Wireless Traffic Monitoring via Deep Reinforcement Learning
  • Matching based Channel Assignment for Cooperative Sensing in Full-Duplex Cognitive Radio Networks
  • A smart wearable device for preventing indoor electric shock hazards
  • Optimal Dwell Time for Frequency Hopping in a Stackelberg Game with a Smart Jammer
  • A Novel PCA-DBN based Bearing Fault Diagnosis Approach
  • Semi-supervised Learning via adaptive low-rank graph
  • Research of Lightweight Encryption Algorithm Based on AES and Chaotic Sequences for Narrow-Band Internet of Things
  • Improving complex network controllability via link prediction
  • Design of Overall Framework of Self-Service Big Data Governance for Power Grid
  • An Efficient Federated Learning Scheme with Differential Privacy in Mobile Edge Computing
  • Predicting Socio-economic Levels of Individuals via App Usage Records
  • An Accelerated PSO based self-organizing RBF neural network for nonlinear system identification and modeling
  • Latent Flow Patterns Discovery by Dockless Bicycle Trajectory Data for Demand Analysis
  • BMI-Matching: Map-Matching with Bearing Meta-Information
  • Relay Selection for Wireless Cooperative Networks using Adaptive Q-learning Approach
  • Optimal Control of Navigation Systems with Time Delays Using Neural Networks
  • Utility-aware MEC Server Deployment for 4G/5G System
  • Cyberbullying Detection with BiRNN and Attention Mechanism
  • A VLP approach based on a single LED lamp
  • A Distributed Fault Diagnosis System in Self-organizing Small Cell Networks
  • Cost-sensitive Learning for Fault Detection in Self-organizing Cellular Networks
  • Multiple Task Assignment for Cooperating Homogeneous Unmanned Aerial Vehicles
  • 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
  • Reinforcement Learning for HEVC Screen Content Intra Coding on Heterogeneous Mobile Devices
  • Joint Power and Channel Selection for Anti-jamming Communications: A Reinforcement Learning Approach
  • Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach
  • Task Allocation in Multi-agent Systems Using Many-objective Evolutionary Algorithm NSGA-III
  • A Method of Calculating the Semantic Similarity between English and Chinese Concepts
  • Power Optimization in Wireless Powered based Mobile Edge Computing
  • LTE antenna port number detection algorithm based on channel estimation and piecewise linear regression
  • Indoor localization Based on Centroid Constraints of AP Quadrilateral Networks
  • A Visual Semantic Relations Detecting Method Based on WordNet
  • Multi-destination two-hop untrusted AF relay networks with destination-aided cooperative jamming
  • Multi-Spectral Palmprint Recognition with Deep Multi-View Representation Learning
  • Travel Time Estimation and Urban Key Routes Analysis Based on Call Detail Records Data: A Case Study of Guangzhou City
  • Robust Game Learning for D2D Communications with a Probabilistic Active Eavesdropper
  • Batch gradient training method with smoothing l0 regularization for echo state networks
  • Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity
  • A backward learning algorithm for feature selection in polynomial echo state networks
  • RFID Indoor Location Based on Optimized Generalized Regression Neural Network
  • A Bicycle-borne Sensor Node for Monitoring Air Pollution based on NB-IoT
  • Realization of Transmission Control Protocol Based on μC/OS-II
  • 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
  • Using Speech Emotion Recognition to Preclude Campus Bullying
  • Robustness Analysis on Natural Language Processing based AI Q&A Robots
  • Fast Joining Scheme based on Channel Assessment in IEEE 802.15.4e TSCH Networks
  • Sewage treatment control method based on Genetic-SOFNN
  • A Bayesian Method for Link Prediction with Considering Path Information
  • Identifying sources of random walk-based epidemic spreading in networks
  • A Q-Learning-based Channel Selection and Data Scheduling Approach for High-frequency Communications in Jamming Environment
  • Beacon in the Air: Optimizing Data Delivery for Wireless Energy Powered UAVs
  • Secrecy Sum Rate for Two-way Untrusted Relay in SCMA Networks
  • Variable DCT for SoftCast with GPU Support
  • A Drone Formation Transformation Approach
  • LPI-Based Stackelberg Game-Theoretic Power Control Algorithm in Multistatic Radar System
  • Motion Classification based on sEMG Signals using Deep Learning
  • Beamforming of simultaneous wireless Energy and Information Transmission System Based on Reinforcement Learning
  • Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review
  • Rectangular waveguide design optimization by sequential nonlinear programming and genetic algorithm
  • Using LSTM, GRU and Hybrid Models for Streamflow Forecasting
  • Transaction Cost Analysis via Label-Spreading Learning
  • Quasi-oppositional Bat Algorithm for Wireless Sensor Network Localization
  • TSMC-SVM: a novel multi-classifier for IoT devices’ network fingerprinting
  • Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting
  • Statement generation based on big data for keyword search
  • Non-negative Matrix Factorization with Community Kernel for Dynamic Community Detection
  • The principle and design of Separate fingerprint identification system
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