Abstract: With the advancements in deep learning technologies in recent years, the generation of synthetic images, videos, and sounds has become easier. In the medical field, this can manipulate ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...

Abstract: This paper addresses the AGV path planning problem in dynamic environments using deep reinforcement learning. An improved deep Q-network (DQN), AEDQN (Adaptive Exploration DQN), is proposed, ...

1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...

Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) ...