Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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Applying Lightweight Deep Learning-Based Virtual Vision Sensing Technology to Realize and Develop New Media Interactive Art Installation.

The work intends to optimize the situation that interactive art devices and remote control based on ...

DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches.

This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks ...

PSO Algorithm-Based Design of Intelligent Education Personalization System.

The application of artificial intelligence in the field of education is becoming more and more exten...

Otisma: an integrated application and humanoid robot as an educational tool for children with autism.

Autistic children have difficulty communicating wants, needs, and thoughts. In cases of low function...

Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit f...

Art Painting Image Classification Based on Neural Network.

Neural network (NN) is among the most important and vital form of artificial intelligence which are ...

[The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review].

The use of robotic and technical systems for early mobilization of intensive care patients: A scopin...

CNN-Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier.

In this paper, an autonomous brain tumor segmentation and detection model is developed utilizing a c...

A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture.

Glioma is the most aggressive and dangerous primary brain tumor with a survival time of less than 14...

Deep learning for necrosis detection using canine perivascular wall tumour whole slide images.

Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes towards sco...

Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power.

Large-scale measurements linking genetic background to biological function have driven a need for mo...

Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm.

Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenes...

Scene Classification in the Environmental Art Design by Using the Lightweight Deep Learning Model under the Background of Big Data.

On the basis of scene visual understanding technology, the research aims to further improve the clas...

The Application of RBF Neural Network Model Based on Deep Learning for Flower Pattern Design in Art Teaching.

The rapid growth of artificial intelligence technology has been deployed in art teaching and learnin...

Performance Analysis of State-of-the-Art CNN Architectures for LUNA16.

The convolutional neural network (CNN) has become a powerful tool in machine learning (ML) that is u...

Precision medicine using patient-specific modelling: state of the art and perspectives in dental practice.

The dental practice has largely evolved in the last 50 years following a better understanding of the...

A Complete Process of Text Classification System Using State-of-the-Art NLP Models.

With the rapid advancement of information technology, online information has been exponentially grow...

ZhenQi FuZheng formula inhibits the growth of colorectal tumors by modulating intestinal microflora-mediated immune function.

Zhenqi Fuzheng formula (ZQFZ), of which the main ingredients are and , has immune system regulatory...

Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring.

Biomedical images contain a huge number of sensor measurements that can provide disease characterist...

Intracerebral hemorrhage detection on computed tomography images using a residual neural network.

Intracerebral hemorrhage (ICH) is a high mortality rate, critical medical injury, produced by the ru...

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