Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
By analyzing the feasibility of the digital twin technology in the assembly of construction machiner...
Machine learning (ML) is increasingly being used to guide drug discovery processes. When applying ML...
We propose a conceptually simple, general framework and end-to-end approach to point cloud completio...
Visual properties that primarily attract bottom-up attention are collectively referred to as salienc...
BACKGROUND: RNA secondary structure is very important for deciphering cell's activity and disease oc...
Despite a rise in the use of functional Near Infra-Red Spectroscopy (fNIRS) to study neural systems,...
In nature and human society, successive lag synchronization (SLS) is an important synchronization ph...
Antibodies are a rapidly growing class of therapeutics. Recently, single domain camelid VHH antibodi...
To develop multi-functionalhuman-machine interfaces that can help disabled people reconstruct lost f...
Abnormal or violent behavior by people with mental disorders is common. When individuals with mental...
The COVID-19 infection is the greatest danger to humankind right now because of the devastation it c...
Traditional grain size determination in materials characterization involves microscopy images and a ...
Synthesis planning and reaction outcome prediction are two fundamental problems in computer-aided or...
Realtime visual feedback from consequences of actions is useful for future safety-critical human-rob...
We report a complete deep-learning framework using a single-step object detection model in order to ...
Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In th...
As the end execution tool of agricultural robots, the manipulator directly determines whether the gr...
The main goal of speech recognition technology is to use computers to convert human analog speech si...
In this work, a dedicated end-to-end deep convolutional neural network, named as Triple-CBCT, is pro...
PURPOSE: Coronary computed tomographic angiography (CCTA) plays a vital role in the diagnosis of car...
We are now well into the information driven age with complex, heterogeneous, datasets in the biologi...