yusuke1997/dblp-id-title huggingface dataset:
Scaled Consensus and Reference Tracking in Multiagent Networks With Constraints
Movable-Antenna Empowered AAV-Enabled Data Collection Over Low-Altitude Wireless Networks
A Lightweight SparkLink-Based Framework for Indoor Vehicle Sensing via Channel-Spliced Estimation and Compact RF Architecture
Finite-Time Distributed Algorithms for Verifying and Ensuring Strong Connectivity of Directed Networks
Twisting-Based Finite-Time Consensus for Euler-Lagrange Systems With an Event-Triggered Strategy
FAR-Net: Semantic Segmentation of Large-Scale Point Clouds Based on Feature Aggregation and Recoding for Aerial Computing
ET-DASG: An Efficient Decentralized Algorithm for Convex Optimization Over Networks
How Human Spatio-Temporal Behaviors Facilitate Epidemics in Functionality Social Networks
SE-Loc: Security-Enhanced Indoor Localization With Semi-Supervised Deep Learning
Security Synchronization for Complex Cyber-Physical Networks Under Hybrid Asynchronous Attacks
Content-Aware AP Selection With LSTM-Enabled Proactive Caching in Cell-Free Massive MIMO Networks
Distributed Secure State Estimation for Cyber-Physical Systems Under False Data Injection Attacks
Centrality-Aware Collaborative Network Embedding for Overlapping Community Detection
Node Task Expansion Based Finite-Time Formation-Containment Control for Ground-Air Collaboration Systems
Fixed-Time Practical Consensus Tracking of Multi-Agent Systems With Communication Delay
On a Discrete-Time Networked SIV Epidemic Model With Polar Opinion Dynamics
Continuous-Time Distributed Proximal Gradient Algorithms for Nonsmooth Resource Allocation Over General Digraphs
Structural Stability of a Family of Spatial Group Formation Games
Impulsive Effects Based Distributed Synchronization of Heterogeneous Coupled Neural Networks
A Sparse Transformer-Enhanced Graph Convolutional Model for Robust Node Importance Ranking in Complex Networks
Joint Communication and Computing Resource Allocation for Energy Efficient Hierarchical Federated Learning in Marine Internet of Things
Entropy-KL-ML: Enhancing the Entropy-KL-Based Anomaly Detection on Software-Defined Networks
A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding
Spectral Properties of Extended Sierpiński Graphs and Their Applications
ContractScanner: Detecting and Localizing Vulnerabilities of Smart Contracts via Graph-Based Semantic Modeling of Source Code
Maximization of Robustness of Interdependent Networks Under Budget Constraints
Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis
Graph Deep Reinforcement Learning for Multi-Cycle Queuing and Scheduling in Deterministic Networking
Assessing Network Reliability Through Perspectives of Neighbor Connectivity and Subversion
Age of Information Minimization for UAV-Assisted Internet of Things Networks: A Safe Actor-Critic With Policy Distillation Approach
Networked Physical Computing: A New Paradigm for Effective Task Completion via Hypergraph Aided Trusted Task-Resource Matching
EMForecaster: A Deep Learning Framework for Time Series Forecasting in Wireless Networks With Distribution-Free Uncertainty Quantification
On Sidechain-Assisted Transaction Service Management for Internet of Things: A Random Contract Approach
PCA: Semi-Supervised Segmentation With Patch Confidence Adversarial Training
BECS: A Privacy-Preserving Computing Resource Sharing Mechanism for 6G Computing Power Network
The Controllability Analysis of Brain Networks During Rhythmic Propagation
Deep Matrix Factorization for Trust-Aware Recommendation in Social Networks
GAE-LSTMs: An End-to-End Method for Topology Inference in Dynamic Communication Networks
Sampled-Data-Based Event-Triggered Synchronization Strategy for Directed Networks With Intermittent Communication Control
AI-Assisted Energy-Efficient and Intelligent Routing for Reconfigurable Wireless Networks
Toward Personalized Quantum Federated Learning for Anomaly Detection
Event-Triggered Bipartite Consensus for Multi-Agent Systems via Model-Free Sliding-Mode Scheme
Privacy-Preserving Object Detection With Poisoning Recognition for Autonomous Vehicles
Attack Detection and Location Using State Forecasting in Multivariate Time Series of ICS
Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-Driven RAN Management in 6G
Joint Trajectory and Resource Optimization for Delay Minimization of UAV-Enabled NOMA-MEC System With LWPT
A Cloud-Based and Dynamic DNS Approach to Enable the Web of Things
Finite-Time Fuzzy Adaptive Consensus for Heterogeneous Nonlinear Multi-Agent Systems
Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation
An Intelligent Dynamic Offloading From Cloud to Edge for Smart IoT Systems With Big Data
Privacy-Preserving Few-Shot Traffic Detection Against Advanced Persistent Threats via Federated Meta Learning
A Hybrid EKF/WUFIR Filter for Indoor Localization Integrating INS and UWB Data
Noncooperative Game-Based Composite Voltage Regulation for Microgrid With Switching Topologies and Prescribed Performance
Consortium Blockchain for Secure Resource Sharing in Vehicular Edge Computing: A Contract-Based Approach
Generating Graphs with Symmetry
Scale-Free Collaborative Protocol Design for Exact Output Synchronization of Multi-Agent Systems in the Presence of Disturbances and Measurement Noise With Known Frequencies
ANGEL: A Synthetic Model for Airline Network Generation Emphasizing Layers
Hybrid Stealthy Attacks on Stochastic Event-Based Remote Estimation Under Packet Dropouts
Learning-Augmented Online Minimization of Age of Information and Transmission Costs
Velocity and Input Constrained Coordination of Second-Order Multi-Agent Systems With Relative Output Information
Event-Based Secure Filtering Under Two-Channel Stochastic Attacks and Switching Topologies Over Wireless Sensor Networks
Particle Swarm Optimization with Moving Particles on Scale-Free Networks
Impulsive Time Window Based Quasi-Consensus on Stochastic Nonlinear Multi-Agent Systems
Henneberg Growth of Social Networks: Modeling the Facebook
Intelligent Energy Scheduling in Renewable Integrated Microgrid With Bidirectional Electricity-to-Hydrogen Conversion
Logic Path Identified Hierarchical Routing for Large-Scale LEO Satellite Networks
Elastic and Predictive Allocation of Computing Tasks in Energy Harvesting IoT Edge Networks
Distributed Average Tracking for Linear Heterogeneous Multi-Agent Systems With External Disturbances
Artificial Dust Based Attack Modelling: A Threat to the Security of Next Generation WCN
The Coevolution of Appraisal and Influence Networks Leads to Structural Balance
Visualization of Dynamic Network Evolution With Quantification of Node Attributes
A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning
Self-Liking Group in Networks With Multi-Class Nodes
RobustPPFL: A Secure and Robust Privacy-Preserving Federated Learning Framework Against Poisoning Attacks
User-Centric Clustering and Beamforming Design for Satellite-Assisted Cell-Free Networks
Adaptive Load Balancing for Industrial Edge Computing Systems: An AxTD3-Deep Reinforcement Learning Approach
Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
A Unified $\alpha \! - \! \eta \! -\! \kappa \! - \! \mu$ Fading Model Based Real-Time Localization on IoT Edge Devices
Cluster Secure Synchronization of Complex Networks With Cooperative-Competitive Interaction Under DoS Attacks
SecureTrain: An Approximation-Free and Computationally Efficient Framework for Privacy-Preserved Neural Network Training
A Model for Growth of Markets of Products or Services Having Hierarchical Dependence
Resilient Output Formation-Containment Tracking of Heterogeneous Multi-Agent Systems: A Learning-Based Framework Using Dynamic Data
Load-Dependent Cascading Failures in Finite-Size Erdös-Rényi Random Networks
Finite-Time Stability for Network Systems With Nonlinear Protocols Over Signed Digraphs
A Probabilistic Model for Information Diffusion in Social Networks: Insights From Twitter Data
REORDER++: Enhanced Randomized Real-Time Scheduling Strategy Against Side-Channel Attacks
Robust Saturated Formation Tracking Control of Multiple Quadrotors With Switching Communication Topologies
A Game-Based Adversarial DGA Detection Scheme Using Multi-Level Incremental Random Forest
Improved Deep Convolutional Neural Network Based Malicious Node Detection and Energy-Efficient Data Transmission in Wireless Sensor Networks
Blockchain-Aided Cooperative Market Offering for Distributed Renewable Energy Producers
Optimal Moving-Target Circumnavigation Control of Multiple Wheeled Mobile Robots Based on Adaptive Dynamic Programming
Leveraging LLMs in Cloud-Edge Networks for Traffic Risk Prediction and Accident Severity Analysis
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems
GraphQWalk: Learning Structural Node Embeddings via Continuous Quantum Walk
Indirect Gaussian Graph Learning Beyond Gaussianity
An Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment
Utility Loss of Information-Critical Prompt Transmission for Semantic Empowered S-IoT
Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation
Blockchain-Assisted Flexible Revocable Anonymous Authentication in Industrial Internet of Things
GAN-Based Dual Active Learning for Nosocomial Infection Detection
Momentum-Based Distributed Continuous-Time Nonconvex Optimization of Nonlinear Multi-Agent Systems via Timescale Separation
Observability Categorization for Boolean Control Networks
Priority-Aware Task Scheduling in Computing Power Network-Enabled Edge Computing Systems
Multi-Feature Representation Based COVID-19 Risk Stage Evaluation With Transfer Learning
Pareto: Fair Congestion Control With Online Reinforcement Learning
Dynamic Event-Based Nonsingular Practical Fixed-Time Second-Order Consensus
Robust Network Routing under Cascading Failures
Synchronizability and Synchronization Rate of AC Microgrids: A Topological Perspective
A Polarized Temporal Network Model to Study the Spread of Recurrent Epidemic Diseases in a Partially Vaccinated Population
IRS-Driven Cybersecurity of Healthcare Cyber Physical Systems
An Analysis of Anonymous MQTT for Publish-Subscribe-Based IoT Networks
Achievable Rate Optimization of RIS-Assisted Multi-Antenna FD DF Relay Cooperation System With SWIPT Technology
Trustworthy Website Detection Based on Social Hyperlink Network Analysis
Optimal Investment Strategies for Competing Camps in a Social Network: A Broad Framework
Incentive Mechanism for Federated Learning With Random Client Selection
LooP: A Low-Overhead Path Reconstruction for Large-Scale IoTs
An Efficient Flows Dispatching Scheme for Tardiness Minimization of Data-Intensive Applications in Heterogeneous Systems
Distributed Online Convex Optimization Over Jointly Connected Digraphs
End-to-End Distributed Flow Control for Networks with Nonconcave Utilities
FST-GNN: Feedback Space-Time Graph Neural Network Model for Networked Multi-Agent Formation Prediction With Noise Interference
Security Analysis and Defense of Multi-Encoding Mechanism Against Eavesdropping Attacks
Synchronization of Finite Field Networks With Switching Multiple Communication Channels
Privacy Protection of Medical Data Based on Multi-Scroll Memristive Hopfield Neural Network
Mitigating Social Engineering Attacks Through Cost-Effective Security Awareness Training Policy
Intelligent UAVs Trajectory Optimization From Space-Time for Data Collection in Social Networks
Hierarchical Bidirectional RNN for Safety-Enhanced B5G Heterogeneous Networks
Centrality Measures for Graphons: Accounting for Uncertainty in Networks
Resilient Output Consensus to Cyber-Attacks in Continuous-Time Cyber-Physical Systems
An Effective Early Message Ahead Join Adaptive Data Aggregation Scheme for Sustainable IoT
Synchronization of Topological Signals on Simplicial Complexes With Higher-Dimensional Simplices
Target Controllability of Networked LTI Systems
ORP: An Online Rule Placement Scheme to Optimize the Traffic Overhead for Data Center Networks
CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding
A Many-Objective Optimization Based Intelligent High Performance Data Processing Model for Cyber-Physical-Social Systems
Advancing Non-Intrusive Load Monitoring: Predicting Appliance-Level Power Consumption With Indirect Supervision
Secure Transmission for Multi-UAV-Assisted Mobile Edge Computing Based on Reinforcement Learning
A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives
Modeling and Defending Advanced Metering Infrastructure Subjected to Distributed Denial-of-Service Attacks
Knowledge Efficient Federated Continual Learning for Industrial Edge Systems
Model-Independent Containment Control for Dynamic Multiple Euler-Lagrange Systems With Disturbances and Uncertainties
A Graph Machine Learning Framework to Compute Zero Forcing Sets in Graphs
Joint Demand Forecasting and Network Slice Pricing for Profit Maximization in Network Slicing
AI Service Placement for Multi-Access Edge Intelligence Systems in 6G
Social Influence Maximization in Hypergraph in Social Networks
Inverse All Shortest Path Problem
Resilient Filtering of Nonlinear Complex Dynamical Networks Under Randomly Occurring Faults and Hybrid Cyber-Attacks
A High-Performantal and Server-Centric Based Data Center Network
Observer-Based Consensus for Multi-Agent Systems With Semi-Markovian Jumping Via Adaptive Event-Triggered SMC
Redundancy Avoidance for Big Data in Data Centers: A Conventional Neural Network Approach
Market Competition Between LTE-U and WiFi
Unbiased Real-Time Traffic Sketching
Protecting the Grid Against MAD Attacks
Joint Robust Power Control and Task Scheduling for Vehicular Offloading in Cloud-Assisted MEC Networks
Toward Traffic Engineering in Anonymous Communication Networks: A Meta-Routing Learning Approach
Community Detection in Dynamic Networks: Exact Recovery Under Two Link Evolution Models
DCAuth: Data-Centric Authentication for Secure In-Network Big-Data Retrieval
A Blockchain-Based Self-Tallying Voting Protocol With Maximum Voter Privacy
DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems
Defending Malicious Check-In Using Big Data Analysis of Indoor Positioning System: An Access Point Selection Approach
SRA360: Super-Resolution Enhanced Adaptive 360-Degree Video Streaming for Heterogeneous Viewers
Intelligent Service Deployment Policy for Next-Generation Industrial Edge Networks
Learning-Based Multi-UAV Assisted Data Acquisition and Computation for Information Freshness in WPT Enabled Space-Air-Ground PIoT
Truncated Lanczos-TSVD: An Effective Dimensionality Reduction Algorithm for Detecting DDoS Attacks in Large-Scale Networks
Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things
Distributed Constrained Nonlinear Least-Squares Estimation Algorithm Over Unbalanced Directed Networks
ESO-Based Control for 2-D Networked Control Systems With Markov-Type DoS Attacks
Distributed State Estimation Over Sensor Networks With Substate Decomposition Approach
IoT-TSO: An Unsupervised Method for Classifying Malicious IoT Traffic via Tensor Self-Optimization
Observer-Based Output Consensus Control Scheme for Strict-Feedback Nonlinear Multi-Agent Systems With Disturbances
One-Class Adversarial Fraud Detection Nets With Class Specific Representations
Will Scale-Free Popularity Develop Scale-Free Geo-Social Networks?
Network Shortest Path Interdiction Problem Based on Generalized Set Coverage
Planning Cyclic Queuing and Forwarding for Time-Sensitive Networking via Heuristic and Neurodynamic Optimization
Constrained Consensus in State-Dependent Directed Multiagent Networks
ONDS: Optimum Node and Data Selection From Constrained IoT for Efficient Online Learning
Novel Computation and Communication Resources Allocation Using Relay Communications in UAV-Mounted Cloudlet Systems
Trajectory Design and Resource Allocation for Multi-UAV Networks: Deep Reinforcement Learning Approaches
Joint Sensor Node Selection and State Estimation for Nonlinear Networks and Systems
Telescopic STAR-RIS for ISAC Networks: An LSTM-Based Multi-Agent DRL Framework
PCAM: Optimal Pricing Scheme for Rendering Camera-Network-as-a-Service
CMFTC: Cross Modality Fusion Efficient Multitask Encrypt Traffic Classification in IIoT Environment
Dynamic Event-Triggered Resilient Filtering for Networked 2D FMLSS Systems: Tackling Bit Flips and Asynchronous Delays
Federated Learning for Network Traffic Classification: A Knowledge Consolidation Approach
Guest Editorial Introduction to the Special Section on AI-Driven Cybersecurity for Healthcare Cyber Physical Systems
Quantum-Resistant Secure Communication Protocol for Digital Twin-Enabled Context-Aware IoT-Based Healthcare Applications
Securing Radio Resources Allocation With Deep Reinforcement Learning for IoE Services in Next-Generation Wireless Networks
Subgraph Structure Feature Learning for Triangle Clique Prediction in Complex Networks
Distributed Learning of Unknown Games for HetNet Selection
New Blockchain-Based Publicly Traceable Self-Tallying Voting Protocol
A Unified Framework for Robust Encrypted Malicious Traffic Detection in Adverse Environments via Graph Structure Learning
HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation
A Spatial-Temporal Graph Convolutional Network With Self-Attention for City-Level Cellular Network Traffic Prediction
Get Your Foes Fooled: Proximal Gradient Split Learning for Defense Against Model Inversion Attacks on IoMT Data
Distributed Guaranteed-Performance Consensus of Networked Systems Without Involving the Feasibility Condition: A Hierarchical Algorithm
Blockchain-Based Decentralized Cloud Storage With Reliable Deduplication and Storage Balancing
Towards Wireless Power Transfer in Mobile Social Networks
Multimedia Traffic Classification for Imbalanced Environment
Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning
Discrepancy-Aware Contrastive Multi-View Representation Fusion With Truncated Cross Attention for Mitigating Performance Degeneration
Ordered Submodularity-Based Value Maximization of UAV Data Collection in Earthquake Areas
Resilient Containment Under Time-Varying Networks With Relaxed Graph Robustness
Detecting Adversarial Samples for Deep Learning Models: A Comparative Study
CLB-LP: Controller Load Balancing Based on Load Prediction Using Deep Learning for Software-Defined IoT Networks
Graph Anomaly Detection via Multi-View Discriminative Awareness Learning
PTAS: PIFO-Based Time-Aware Shaper for Massive Concurrent Flows in Time-Sensitive Networks
A Method to Stabilize Large-Scale Boolean Networks via Pinning Control
Temporal Ordered Clustering in Dynamic Networks: Unsupervised and Semi-Supervised Learning Algorithms
Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks
Group-Based General Epidemic Modeling for Spreading Processes on Networks: GroupGEM
Neuronal Spatial Arrangement Shapes Effective Connectivity Traits of in vitro Cortical Networks
Graph Representation Learning With Adaptive Metric
Polymorphic Smart Network: An Open, Flexible and Universal Architecture for Future Heterogeneous Networks
Formation of Robust Multi-Agent Networks through Self-Organizing Random Regular Graphs
Near-Field Localization of Mobile Robots With Multiple Access Points Collaboration
Fluid Antenna-Enabled Integrated Sensing, Communication, and Computing Systems With Mobile Blockchain
Distributed Knowledge Inference Framework for Intelligent Fault Diagnosis in IIoT Systems
An Event-Triggered Approach for Gradient Tracking in Consensus-Based Distributed Optimization
Achieving Prescribed-Time Stabilization in Nonlinear TCP/AQM Systems With Input Saturation
On the Effectiveness of Heterogeneous Ensembles Combining Graph Neural Networks and Heuristics for Dynamic Link Prediction
Real-Time Prediction Using Fog-Based Federated Learning and Genetic Hyperparameter Optimisation
Identification of Generalized Semantic Communities in Large Social Networks
Energy-Efficient Deep Reinforcement Learning RSMA in Multi-UAV-Assisted Wireless-Powered Communication Network
Achieving Correct Hop-by-Hop Forwarding on Multiple Policy-Based Routing Paths
Iterative Learning Control for Nonlinear Uncertain Parameterized Multi-Agent Systems With Non-Identical Partially Unknown Control Directions
SNC-Enabled Delay Analysis and DRL-Based Power Control for RSMA Systems
Practical Privacy-Preserving Convolutional Neural Network Inference Framework With Edge Computing for Health Monitoring
Topology Identification in Two-Layer Complex Dynamical Networks
Pushing the Performance Limits of Datacenter Networks With Fine-Grained Priority Assignment
Source Identification of Propagating Waves Inside a Network
Heterogeneous Edge Caching Based on Actor-Critic Learning With Attention Mechanism Aiding
Resource Allocation in SCMA-Empowered Multi-UAV Transmission System
Lightweight Per-Flow Traffic Measurement Using Improved LRU List
Efficient and Adaptive CUR Matrix Decomposition for Flexible Compression of Network Monitoring Data
Identification of Key Components After Unintentional Failures for Cascading Failure Protection
Targeted Protection Maximization in Social Networks
TPS: A Topological Potential Scheme to Predict Influential Network Nodes for Intelligent Communication in Social Networks
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data
EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme
A Blockchain-Based Decentralized Framework for Fair Data Processing
Real-Time Optimization of Dynamic Speed Scaling for Distributed Data Centers
Learning Large Electrical Loads via Flexible Contracts With Commitment
Delay Optimal Concurrent Transmissions With Raptor Codes in Dual Connectivity Networks
Event-Based Distributed Set-Membership Estimation for Complex Networks: A Coding-Decoding Method
Laser Charging Enabled DBS Placement for Downlink Communications
Scaled Event-Triggered Resilient Consensus Control of Continuous-Time Multi-Agent Systems Under Byzantine Agents
BATS: A Blockchain and AI-Empowered Drone-Assisted Telesurgery System Towards 6G
Queue-Based Analytical Modeling for Capacity Estimation of Wearable eHealth Systems
Reliable Routing and Scheduling in Time Sensitive Networks Based on Reinforcement Learning
Toward Diffusion-Based Deep Reinforcement Learning for Discrete Decision-Making: Methods and Evaluations
Robust Consensus of Multiagent Dynamics With Transmission Constraints and Noises
Intelligent Self-Optimization for Task Offloading in LEO-MEC-Assisted Energy-Harvesting-UAV Systems
Defense Against Advanced Persistent Threat Through Data Backup and Recovery
Modeling and Evaluation of Multi-Hop Wireless Networks Using SRNs
The Strategic Formation of Multi-Layer Networks
Label-Flipping Attacks in GNN-Based Federated Learning
Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question
An Efficient Task Offloading Approach Based on Multi-Objective Evolutionary Algorithm in Cloud-Edge Collaborative Environment
Consensus Control in Heterogeneous Nonlinear Multiagent Systems With Position Feedback and Switching Topologies
Extremely Low Reciprocity and Strong Homophily in the World Largest MSM Social Network
Federated Split Learning via Mutual Knowledge Distillation
The Smallest Eigenvalue of the Generalized Laplacian Matrix, with Application to Network-Decentralized Estimation for Homogeneous Systems
Earning While Learning: An Adversarial Multi-Armed Bandit Based Real-Time Bidding Scheme in Deregulated Electricity Market
Umix: Sustainable Multi-UAV Coordination for Aerial-Terrestrial Networks
Trojan Attack and Defense for Deep Learning Based Power Quality Disturbances Classification
Fast Generation of Spatially Embedded Random Networks
Performance Analysis of Cache-Enabled Handover Management for Vehicular Networks
Fair-Hierarchical Scheduling for Diversified Services in Space, Air and Ground for 6G-Dense Internet of Things