RECENT ADVANCES IN DRILLING TOOL TEMPERATURE: A STATE-OF-THE-ART REVIEW



Collision avoidance for autonomous ship using deep reinforcement learning and prior-knowledge-based approximate representation

Reinforcement learning (RL) has shown superior performance in solving sequential decision problems.In recent years, RL is gradually being used to solve unmanned driving collision avoidance decision-making problems in complex scenarios.However, ships encounter many scenarios, and the differences in scenarios will seriously hinder the application of

read more

Deregulation of VEGFR-2 and PDGFR Expression and Microvascular Density in a Triple-Negative Model of Canine Malignant Mammary Tumors with Lymph Node or Lung Metastasis

Canine mammary tumors (CMT) represent the most common cancer in noncastrated female dogs.Interestingly, triple-negative tumors are the most common molecular subtype in female dogs.In this study, we proposed to evaluate the expression of vascular endothelial growth factor receptor 2 (VEGFR-2), Platelet-derived growth factor receptor (PDGFR), and mic

read more