[HTML][HTML] Analyzing entropy features in time-series data for pattern recognition in neurological conditions
In the field of medical diagnosis and patient monitoring, effective pattern recognition in
neurological time-series data is essential. Traditional methods predominantly based on …
neurological time-series data is essential. Traditional methods predominantly based on …
Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification
X Li, G Huang, L Cheng, G Zhong, W Liu… - Journal of Biomedical …, 2024 - Elsevier
Objective: Histological classification is a challenging task due to the diverse appearances,
unpredictable variations, and blurry edges of histological tissues. Recently, many …
unpredictable variations, and blurry edges of histological tissues. Recently, many …
Cooperative Perception for Connected Autonomous Vehicles Under Constrained V2V Networking
Cooperative Perception (CP) is a newly emerged technique that can be used to enhance the
safety of Autonomous Vehicles (AVs) when relying merely on the AV's own camera may not …
safety of Autonomous Vehicles (AVs) when relying merely on the AV's own camera may not …
An efficient multi-disease prediction model using advanced optimization aided weighted convolutional neural network with dilated gated recurrent unit
S Satheeskumaran - Intelligent Decision Technologies, 2024 - content.iospress.com
In the medical field, prediction accuracy over multi-diseases is significant and it is helpful for
improving the patient's health. Most of the conventional machine learning techniques …
improving the patient's health. Most of the conventional machine learning techniques …
An Improved VAE-Based Quality Prediction Method with Application to a Hot Strip Rolling Mill Process
Y Liu, K Zhang, X Zhang - 2024 IEEE 13th Data Driven Control …, 2024 - ieeexplore.ieee.org
In a hot strip rolling mill (HSRM) process, the control of the crown quality of a strip steel is of
paramount importance. In this paper, a distributed crown prediction model based on an …
paramount importance. In this paper, a distributed crown prediction model based on an …