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A novel formula for predicting the ultimate compressive strength of the cylindrically curved plates
Enabling edge computing ability in view-independent vehicle model recognition
Roll Prediction and Parameter Identification of Marine Vessels Under Unknown Ocean Disturbances
Joint Resource Allocation Optimization in Space–Air–Ground Integrated Networks
UAV-Mounted RIS-Aided Mobile Edge Computing System: A DDQN-Based Optimization Approach
Energy‐efficient adaptive dependent task scheduling in cooperative vehicle‐infrastructure system
Streamlined semi-automatic data processing framework for ship performance analysis
A Collaborative Inference Algorithm in Low-Earth-Orbit Satellite Network for Unmanned Aerial Vehicle
Resource Allocation and Offloading Strategy for UAV-Assisted LEO Satellite Edge Computing
Joint UAV Deployment and Task Offloading Scheme for Multi-UAV-Assisted Edge Computing
Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing
Service Function Chain Scheduling in Heterogeneous Multi-UAV Edge Computing
Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review
DECCo-A Dynamic Task Scheduling Framework for Heterogeneous Drone Edge Cluster
An ADMM-based parallel algorithm for solving traffic assignment problem with elastic demand
Performance evaluation of RW‐Quadrotor and Bi‐Quadrotor for payload delivery
JO-TADP: Learning-Based Cooperative Dynamic Resource Allocation for MEC–UAV-Enabled Wireless Network
Resource Scheduling for UAV-Assisted Failure-Prone MEC in Industrial Internet
Joint Task Offloading and Resource Allocation for Space–Air–Ground Collaborative Network
sUAS Monitoring of Coastal Environments: A Review of Best Practices from Field to Lab
A novel method for the detection of road intersections and traffic rules using big floating car data
Using genetic programming on GPS trajectories for travel mode detection
Texture Analysis to Enhance Drone-Based Multi-Modal Inspection of Structures
GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
Directed hypergraph attention network for traffic forecasting
Road geometry perception without accurate positioning and lane information
A deep network with analogous self‐attention for short‐term traffic flow prediction
High‐performance traffic speed forecasting based on spatiotemporal clustering of road segments
EP‐LSTM: Novel prediction algorithm for moving object destination