Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
End-to-End aspect-based sentiment analysis (E2E-ABSA) aims to jointly extract aspect terms and ident...
The application of neural network models to solve combinatorial optimization has recently drawn much...
Finer-grained decoding at a phoneme or syllable level is a key technology for continuous recognition...
The image fusion methods based on deep learning has become a research hotspot in the field of comput...
. High breast density is associated with reduced efficacy of mammographic screening and increased ri...
Infant motility assessment using intelligent wearables is a promising new approach for assessment of...
Quantitative phase retrieval (QPR) in propagation-based x-ray phase contrast imaging of heterogeneou...
For automatic EEG diagnosis, this paper presents a new EEG data set with well-organized clinical ann...
End-to-end deep learning models are increasingly applied to safety-critical human activity recogniti...
Minimally invasive repair of pectus excavatum (MIRPE) is an effective method for correcting pectus e...
A causal effect can be defined as a comparison of outcomes that result from two or more alternative ...
The need for contactless vascular biometric systems has significantly increased. In recent years, de...
The inaccurate force and position control of tendon sheath system (TSS) due to nonlinear friction du...
Neurofibromas (NFs), Bowen disease (BD), and seborrheic keratosis (SK) are common skin tumors. Patho...
The recognition process of natural scenes is complicated at present, and images themselves may be co...
Dimensional reduction (DR) maps high-dimensional data into a lower dimensions latent space with mini...
An integrative review investigating the incorporation of artificial intelligence (AI) and machine le...
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are support...
Drug discovery aims to select proper targets and drug candidates to address unmet clinical needs. Th...
: The success of many machine learning applications depends on knowledge about the relationship betw...
In speaker recognition tasks, convolutional neural network (CNN)-based approaches have shown signifi...