HIV/AIDS

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.

A clinically comparable Convolutional Neural Network framework-based technique for performing automa...

A Comparative Study of Text Genres in English-Chinese Translation Effects Based on Deep Learning LSTM.

In recent years, neural network-based English-Chinese translation models have gradually supplanted t...

Big Transfer Learning for Fine Art Classification.

Automatic classification and retrieval of fine art collections have received much attention in recen...

A three-methylation-driven gene-based deep learning model for tuberculosis diagnosis in patients with and without human immunodeficiency virus co-infection.

Improved diagnostic tests for tuberculosis (TB) among people with human immunodeficiency virus (HIV)...

Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model.

Falls are a leading cause of death in adults 65 and older. Recent efforts to restore lower-limb func...

Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.

INTRODUCTION: Proximal humeral fractures account for a significant proportion of all fractures. Deta...

The Application of Digital Technology in the Complex Situation of News Dissemination from the Perspective of New Media Art.

As the continous innovation of new media technology, the media environment of the entire society has...

Calf Thymus Polypeptide Restrains the Growth of Colorectal Tumor Regulating the Intestinal Microbiota-Mediated Immune Function.

Calf thymus polypeptide (CTP), with a molecular mass of <10 kDa, is prepared from the thymus of less...

The Classification of Music and Art Genres under the Visual Threshold of Deep Learning.

Wireless networks are commonly employed for ambient assisted living applications, and artificial int...

The Application of Artificial Intelligence Technology in Art Teaching Taking Architectural Painting as an Example.

In the current era of technology, artificial intelligence has grown rapidly in such a way that it ha...

Study on Integration and Application of Artificial Intelligence and Wireless Network in Piano Music Teaching.

Until 2019, most people had never faced the situation that would be their life-changing moment. Most...

Meetings that matter: time to put artificial intelligence on the ART roadmap.

Prediction of Urban Street Public Space Art Design Indicators Based on Deep Convolutional Neural Network.

This paper analyzes and studies the structure and parameters of the VGGNet network model and selects...

Painting Classification in Art Teaching under Machine Learning from the Perspective of Emotional Semantic Analysis.

This paper aims to explore the Painting Classification in art teaching under Machine Learning. Based...

Implementation of a Heart Disease Risk Prediction Model Using Machine Learning.

Cardiovascular disease prediction aids practitioners in making more accurate health decisions for th...

Hyperspectral Image Classification: Potentials, Challenges, and Future Directions.

Recent imaging science and technology discoveries have considered hyperspectral imagery and remote s...

LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction.

Proteins perform many essential functions in biological systems and can be successfully developed as...

Research on Multicamera Photography Image Art in BERT Motion Based on Deep Learning Mode.

In order to improve the artistic expression effect of photographic images, this article combines the...

Machine learning based deconvolution of microarray atrial samples from atrial fibrillation patients reveals increased fractions of follicular CD4+ T lymphocytes and gamma-delta T cells.

A potential relationship between T cell immunity and development of atrial fibrillation (AF) has bee...

Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM).

Emotions are an essential part of daily human communication. The emotional states and dynamics of th...

State-of-the-art retinal vessel segmentation with minimalistic models.

The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal imag...