AIMC Topic: Humans

Clear Filters Showing 40801 to 40810 of 95995 articles

Face Sketch Synthesis Using Regularized Broad Learning System.

IEEE transactions on neural networks and learning systems
There are two main categories of face sketch synthesis: data- and model-driven. The data-driven method synthesizes sketches from training photograph-sketch patches at the cost of detail loss. The model-driven method can preserve more details, but the...

Fully Decoupled Neural Network Learning Using Delayed Gradients.

IEEE transactions on neural networks and learning systems
Training neural networks with backpropagation (BP) requires a sequential passing of activations and gradients. This has been recognized as the lockings (i.e., the forward, backward, and update lockings) among modules (each module contains a stack of ...

Analysis of the Correlation between College Music Education and Public Mental Health Based on Deep Learning.

Journal of environmental and public health
With the continuous changes of college music education and public mental health problems, conventional solutions are no longer sufficient. At this time, we adopted a method based on deep learning to study them. The experiments showed that ① deep lear...

Higher Education Environment Monitoring and Quality Assessment Model Using Big Data Analysis and Deep Learning.

Journal of environmental and public health
A university exists to help students develop their skills. The goal of university development is to raise the standard of personnel training, and the core component of university development is teaching quality. Whether the level of practical trainin...

A Classification Method for Thoracolumbar Vertebral Fractures due to Basketball Sports Injury Based on Deep Learning.

Computational and mathematical methods in medicine
OBJECTIVE: There are more and more basketball competitions, to propose a classification method of thoracolumbar fractures to assist in the diagnosis of basketball injuries, to analyze the feasibility of its clinical application, and to improve the re...

Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol.

PloS one
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. El...

Objective assessment of segmentation models for thyroid ultrasound images.

Journal of ultrasound
Ultrasound features related to thyroid lesions structure, shape, volume, and margins are considered to determine cancer risk. Automatic segmentation of the thyroid lesion would allow the sonographic features to be estimated. On the basis of clinical ...

[Robot-assisted Mediastinal Surgery].

Zentralblatt fur Chirurgie
Because of the many important anatomical structures located closely together at very small distances, mediastinal surgery has been traditionally demanding and challenging within thoracic surgery. With their great variability, mediastinal masses in th...

Co-creation environment with cloud virtual reality and real-time artificial intelligence toward the design of molecular robots.

Journal of integrative bioinformatics
This paper describes the design philosophy for our cloud-based virtual reality (VR) co-creation environment (CCE) for molecular modeling. Using interactive VR simulation can provide enhanced perspectives in molecular modeling for intuitive live demon...