Methods comparison for neural network-based structural damage recognition and classification
C Che, J Tian - Advances in Operation Research and Production …, 2024 - ewadirect.com
Abstract Machine learning has brought significant advancements to the field of structural
health monitoring, providing flexible and efficient solutions for detecting both local and …
health monitoring, providing flexible and efficient solutions for detecting both local and …
Trustworthy human-ai collaboration: Reinforcement learning with human feedback and physics knowledge for safe autonomous driving
Prefixkv: Adaptive prefix kv cache is what vision instruction-following models need for efficient generation
Recently, large vision-language models (LVLMs) have rapidly gained popularity for their
strong generation and reasoning capabilities given diverse multimodal inputs. However …
strong generation and reasoning capabilities given diverse multimodal inputs. However …
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
In recent years, reinforcement learning (RL)-based methods for learning driving policies
have gained increasing attention in the autonomous driving community and have achieved …
have gained increasing attention in the autonomous driving community and have achieved …
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
Large vision-language models (LVLMs) have made substantial progress in integrating large
language models (LLMs) with visual inputs, enabling advanced multimodal reasoning …
language models (LLMs) with visual inputs, enabling advanced multimodal reasoning …
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
The rapid evolution of communication networks in recent decades has intensified the need
for advanced Network and Service Management (NSM) strategies to address the growing …
for advanced Network and Service Management (NSM) strategies to address the growing …
A Digital Twin Framework for Physical-Virtual Integration in V2X-Enabled Connected Vehicle Corridors
Transportation Cyber-Physical Systems (T-CPS) are critical in improving traffic safety,
reliability, and sustainability by integrating computing, communication, and control in …
reliability, and sustainability by integrating computing, communication, and control in …
Real-World Data Inspired Interactive Connected Traffic Scenario Generation
Simulation is a crucial step in ensuring accurate, efficient, and realistic Connected and
Autonomous Vehicles (CAVs) testing and validation. As the adoption of CAV accelerates …
Autonomous Vehicles (CAVs) testing and validation. As the adoption of CAV accelerates …