Medicare

Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning.

In view of the employment difficulties of college graduates, this paper analyzes the overflow of gra...

Construction and Implementation of Procedural Nursing System for General Surgery Laparoscopic Surgery Based on Deep Learning.

In order to explore the construction and implementation effect of a procedural nursing system for la...

A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning.

During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future ...

A Novel Approach of Feature Space Reconstruction with Three-Way Decisions for Long-Tailed Text Classification.

Text classification is widely studied by researchers in the natural language processing field. Howev...

A Combinatorial Optimization Framework for Scoring Students in University Admissions.

BACKGROUND AND OBJECTIVES: Selecting applications for college admission is critical for university o...

Deep Learning Enabled Diagnosis of Children's ADHD Based on the Big Data of Video Screen Long-Range EEG.

Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children....

Efficient quantitative assessment of robot swarms: coverage and targeting Lévy strategies.

Biologically inspiredhave long been adapted to swarm robotic systems, including biased random walks,...

Deep Learning Based SWIR Object Detection in Long-Range Surveillance Systems: An Automated Cross-Spectral Approach.

SWIR imaging bears considerable advantages over visible-light (color) and thermal images in certain ...

Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Background Social risk factors influence rehospitalization rates yet are challenging to incorporate ...

Self-consistent determination of long-range electrostatics in neural network potentials.

Machine learning has the potential to revolutionize the field of molecular simulation through the de...

Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks.

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Prediction of clinical trial enrollment rates.

Clinical trials represent a critical milestone of translational and clinical sciences. However, poor...

Using deep learning to annotate the protein universe.

Understanding the relationship between amino acid sequence and protein function is a long-standing c...

Re:The influence of the long duration from biopsy to surgery on biochemical recurrence after robot-assisted radical prostatectomy in Japanese patients.

CVDF DYNAMIC-A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm.

As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and comp...

Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles.

The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum ove...

TorsionNet: A Deep Neural Network to Rapidly Predict Small-Molecule Torsional Energy Profiles with the Accuracy of Quantum Mechanics.

Fast and accurate assessment of small-molecule dihedral energetics is crucial for molecular design a...

A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.

Meteorological events constantly affect human life, especially the occurrence of excessive precipita...

Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone.

Feedforward backpropagation artificial neural networks (ANNs) have been increasingly employed in man...

Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1.

With the technological advancements of the modern era, the easy availability of image editing tools ...

Selective prediction-set models with coverage rate guarantees.

The current approach to using machine learning (ML) algorithms in healthcare is to either require cl...