Buch, Englisch, 590 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1051 g
Volume III
Buch, Englisch, 590 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1051 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-97-1086-7
Verlag: Springer
The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1. Collision-Free UAV Flocking System with Leader-guided Cucker-Smale Reward Based on Reinforcement Learning. - Chapter 2. A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade based on Event-driven. - Chapter 3. Research on the Dilemma and Strategy of Training Applied Talents in UAV Specialty. - Chapter 4. Design and Implementation of Terrain following Algorithm for Cruise Missile. - Chapter 5. Task Assignment Algorithm for Unmanned Systems Based on Step Clustering Ant Colony. - Chapter 6. A Neural Network-Based Adaptive Dynamic Surface Control for Nonlinear Systems in Strict-Feedback Form with Input Constraints. - Chapter 7. TAMPI: A Time-Aware Multi-Perspective Interaction Framework for Temporal Knowledge Graph Completion. - Chapter 8. Lightweight Multimodal Fusion for Autonomous Navigation via Deep Reinforcement Learning. - Chapter 9. A Scalable Multi-Agent Reinforcement Learning Approach Based on Value function Decomposition. - Chapter 10. A Generalizable Autonomous Maneuvering Decision-Making Method for UCAV Air Combat Combining PER-D3QN and Zero-Sum Markov Game. - Chapter 11. A Method for Assessing Battlefield Situation of Mission Planning Agent Based on Improved TextCNN. - Chapter 12. A Skyline Extraction Algorithm Based on Vertical Local Contrast Measurement. - Chapter 13. Prediction of Gas-liquid Flow Parameters in Pipes Based on Physics-Informed Neural Network. - Chapter 14. A Deep Reinforcement Learning-based Approach for Autonomous Quadrotor Tracking Control. - Chapter 15. Research on Control Method of aerial refueling Aircraft Based on Reinforcement Learning. - Chapter 16. The Digital Dynamic and Control Simulation Modeling of Space Craft Based on Modelica. - Chapter 17. Image Matching Method for SAR and Optical Image Based on Siamese Network. - Chapter 18. Multi-Scale visual feature association based long-term UAV Positioning algorithm. - Chapter 19. Fuzzy Community Geometry Adaptive Density Map Generation for Crowd Counting. - Chapter 20. Combat Intention Recognition of Aerial Battlefield Targets Based on LSTM. - Chapter 21. Unsupervised Conversation Disentanglement with GCN Clustering. - Chapter 22. A Key Person Extraction Method for Chat Groups Based on Structure-aware Graph Neural Network. - Chapter 23. Exploration on an Advanced Knowledge Originated Online Course and its Teaching Model for Innovative Talents Cultivation on Autonomous Unmanned Systems. - Chapter 24. A Modified Q-learning Algorithm Facing for Path Planning and Obstacle Avoidance Method for Unmanned Aerial Vehicle. - Chapter 25. Global path planning for AUV based on the IACO algorithm. - Chapter 26. Research on Fusion Localization Algorithm Based on Vision and LiDAR. - Chapter 27. Few-shot Online Learning for 3D Object Detection in Autonomous Driving. - Chapter 28. Self-Supervised Traffic Accident Detection by Motion-Conditioned Diffusive Frame Prediction. - Chapter 29. Deep Reinforcement Learning Based Task Offloading Mechanism for Edge Computing in Wireless Body Area Network. - Chapter 30. Design of an Auxiliary Training System for Aerial Refueling Training. - Chapter 31. An airborne target recognition model based on SPD, PConv and LADH detection heads. - Chapter 32. Visual Servo Control-based UAV Autonomous Landing. - Chapter 33. Traffic Accident Anticipation via Driver Attention Auxiliary. - Chapter 34. Design of model tracking control law based on DDPG algorithm. - Chapter 35. Multi-missile cooperative guidance law based on deep reinforcement learning. - Chapter 36. Fault Diagnosis of Rolling Bearings based on Neural Networks and Decision Trees. - Chapter 37. Prediction of Battlefield Resource Performance Trend Based on Deep Learning. - Chapter 38. SPADE-Based Dynamic-to-Static Image Translation for Visual Localization of Autonomous Systems. - Chapter 39. Visual navigation and shape reconstruction for asteroid approaching phase. - Chapter 40. The Deep Integration of UAVs and Artificial Intelligence. - Chapter 41. Detection of Occlusion-resistant based on Improved YOLOv7. - Chapter 42. Metal Surface Defect Detect Using Denoising Diffusion Probabilistic Model And Improved YOLOv8. - Chapter 43. Pothole-YOLO: A Single-Stage Instance Segmentation Method for Pothole Detection. - Chapter 44. An Intelligent and Unmanned System for Urban Vertical Agriculture Hydroponic Planting. - Chapter 45. A Transformer-based Condition Monitoring Method for UAV. - Chapter 46. Accident-CLIP: Text-Video Benchmarking for Fine-Grained Accident Classification in Driving Scenes. - Chapter 47. Prediction of Traffic Participant Behavior in Driving Environment Based on Counterfactual Inference. - Chapter 48. The Application of Superlet Transform in EEG-based Motor Imagery Classification of Unilateral Knee Movement. - Chapter 49. Evaluation of intelligent level of Multi-agent Game Theory deduction models Based on Game Neural Networks. - Chapter 50. Research on Joint Material Supply Task Scheduling Algorithm under Unmanned In-the-Loop Material Supply System. - Chapter 51. Unmanned Engineering Support Task Allocation for Amphibious Island Landing Operations. - Chapter 52. Prediction of Terminal Velocity in Reentry Phase for Hypersonic Aircraft Based on GRU Neural Network. - Chapter 53. Research on line spectrum enhancement technology based on unsupervised neural network.
