Reform

Online Course Model of Social and Political Education Using Deep Learning.

This study aims to improve the social and political literacy of college students. Social and Politic...

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions.

The aim is to improve the teaching quality of music majors and cultivate their innovative ability. T...

Evaluation of the Effect of Comprehensive Nursing Interventions on Plaque Control in Patients with Periodontal Disease in the Context of Artificial Intelligence.

Plaque is a bacterial biofilm that adheres to each other and exists on the tooth surface, and new pl...

Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models.

Hospitals, especially their emergency services, receive a high number of wrist fracture cases. For c...

Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images.

AIMS: To apply a deep learning model for automatic localisation of the scleral spur (SS) in anterior...

Data analysis and personalized recommendation of western music history information using deep learning under Internet of Things.

To improve the teaching effect of western music history, the curriculum reform of history education ...

DRG grouping by machine learning: from expert-oriented to data-based method.

BACKGROUND: Diagnosis-related groups (DRGs) are a payment system that could effectively solve the pr...

Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm.

Since the reform and opening up, China's regional economy has developed rapidly. However, due to dif...

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

The recent curriculum reform in China puts forward higher requirements for the development of physic...

Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network.

In the human resource system of modern enterprises, human-post matching big data occupies an importa...

Hybrid LSTM Self-Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco.

Education is the cultivation of people to promote and guarantee the development of society. Educatio...

Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization.

The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly add...

Angle-closure assessment in anterior segment OCT images via deep learning.

Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in fac...

Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.

Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in d...

Artificial Intelligence: The Future for Diabetes Care.

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pand...

Evolving Role and Future Directions of Natural Language Processing in Gastroenterology.

In line with the current trajectory of healthcare reform, significant emphasis has been placed on im...

Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification.

Person re-identification (Re-ID) aims at matching person images captured in non-overlapping camera v...

Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

Several studies have reported a conflicting association between vitamin D deficiency, vitamin D rece...

Update: healthcare reform - it's getting personal.

SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identification.

BACKGROUND: snoReport uses RNA secondary structure prediction combined with machine learning as the ...

FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification

Cross-site lung histopathology classification must account for stain variation, non-IID client data,...