Learning to Detect Novel Species with SAM in the Wild

Engineering, Environmental Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Botany,
object detection in the wild   semi-supervised learning   incremental learning   novelty detection   biodiversity   wildlife monitoring   plant monitoring  

Academic Paper Report: Open World Object Detection Framework Using SAM Background As the importance of ecosystem monitoring grows, the observation of wildlife and plant populations has become a crucial aspect of ecological conservation and agricultural development. These monitoring tasks include estimating population sizes, identifying species, stu...

Mechanical Ventilation Guided by Driving Pressure Optimizes Local Pulmonary Biomechanics in an Ovine Model

Engineering, Mechanical Engineering, Medicine, Respiratory System, Anesthesiology, Medical Imaging, Life Sciences, Bioengineering,
Mechanical ventilation   Driving pressure   Pulmonary biomechanics   Acute respiratory distress syndrome   Whole-lung image segmentation  

Optimization of Respiratory Pressure Under Mechanical Ventilation Guidance - A Study on Improving Local Lung Biomechanics Mechanical ventilation is commonly used in clinical practice to treat acute respiratory distress syndrome (ARDS) and prevent pulmonary complications after general anesthesia. However, mechanical ventilation can cause harmful str...

Post-Stroke Hand Gesture Recognition via One-Shot Transfer Learning Using Prototypical Networks

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery,
post-stroke   hand gesture recognition   machine learning   prototypical networks   few-shot learning  

Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...

The Ankle Dorsiflexion Kinetics Demand to Increase Swing Phase Foot-Ground Clearance: Implications for Assistive Device Design and Energy Demands

Engineering, Mechanical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Ankle Dorsiflexion   Minimum Foot Clearance   Swing Biomechanics   Ankle Foot Orthoses   Assistive Devices  

Research Report Background Introduction With an aging population and the increase in neurological and muscular diseases such as stroke, the risk of tripping and falling due to gait disorders has become a serious problem. Research shows that ankle dorsiflexion is crucial for ensuring foot clearance during the swing phase of gait. However, there is l...

Time Synchronization Between Parietal–Frontocentral Connectivity with MRCP and Gait in Post-Stroke Bipedal Tasks

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
stroke   brain-computer interface   functional connectivity   motor execution   motor preparation   bipedal classification   rehabilitation  

Time Synchronization of Motor-Related Cortical Potentials and Parieto-Frontocentral Connectivity in Bilateral Tasks of Stroke Patients Background In stroke rehabilitation research, functional connectivity (FC), motor-related cortical potentials (MRCP), and gait activities are common metrics related to rehabilitation outcomes. Although these have be...