Surveys

Application of Machine Learning in the Reliability Evaluation of Pipelines for the External Anticorrosion Coating.

The purpose of this research is to enhance the analysis of the reliability status for external anticorrosive coatings. With the limitation and insufficiency of the static evaluation method, we study and construct an evaluation method of dynamic reliability for the anticorrosive layer, integrating the trend analysis of the Markov chain and the set pair theory. This method is implemented by the mach...

Mind the gap: Performance metric evaluation in brain-age prediction.

Estimating age based on neuroimaging-derived data has become a popular approach to developing markers for brain integrity and health. While a variety of machine-learning algorithms can provide accurate predictions of age based on brain characteristics, there is significant variation in model accuracy reported across studies. We predicted age in two population-based datasets, and assessed the effec...

Problems and Countermeasures of Financial Risk in Project Management Based on Convolutional Neural Network.

Under the background of market economy, engineering projects are faced with a lot of financial risks. If we cannot prevent them effectively, it will u...

Sampling Rate Decay in Hindsight Experience Replay for Robot Control.

Training agents via deep reinforcement learning with sparse rewards for robotic control tasks in vast state space are a big challenge, due to the rare...

Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy.

We show that using a recent break-through in artificial intelligence -transformers-, psychological assessments from text-responses can approach theore...

Simulating dynamic facial expressions of pain from visuo-haptic interactions with a robotic patient.

Medical training simulators can provide a safe and controlled environment for medical students to practice their physical examination skills. An impor...

Bias-Eliminated Semantic Refinement for Any-Shot Learning.

When training samples are scarce, the semantic embedding technique, i. e., describing class labels with attributes, provides a condition to generate v...

Exploration and Strategy Analysis of Mental Health Education for Students in Sports Majors in the Era of Artificial Intelligence.

This study aims to explore new educational strategies suitable for the mental health education of college students. Big data and artificial intelligen...

Blinded intraoperative skill evaluations avoid gender-based bias.

INTRODUCTION: Gender bias has been identified consistently in written performance evaluations. Qualitative tools may provide a standardized way to eva...

Design of Motion Detection Device in Sports Based on Deep Learning of Internet of Things.

With the improvement of people's income levels in recent years, people have gradually begun to pay more attention to health, and the number of exercis...

Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.

Unhealthy alcohol use represents a major economic burden and cause of morbidity and mortality in the United States. Implementation of interventions fo...

Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.

During the coronavirus disease pandemic (COVID-19), social media platforms such as Twitter have become a venue for individuals, health professionals, ...

Domain Adaptation for Medical Image Analysis: A Survey.

Machine learning techniques used in computer-aided medical image analysis usually suffer from the domain shift problem caused by different distributio...

Application of the PBL Model Based on Deep Learning in Physical Education Classroom Integrating Production and Education.

This study aims to arouse students' interest in physical education (PE) in response to President Xi Jinping's call to strengthen students' physical qu...

Exploring Multiple Application Scenarios of Visual Communication Course Using Deep Learning Under the Digital Twins.

The emergence of intelligent technology has brought a particular impact and allows for virtuality-reality interaction in the educational field. In par...

Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.

Researchers, governments, ethics watchdogs, and the public are increasingly voicing concerns about unfairness and bias in artificial intelligence (AI)...

Marine Robotics for Deep-Sea Specimen Collection: A Taxonomy of Underwater Manipulative Actions.

In order to develop a gripping system or control strategy that improves scientific sampling procedures, knowledge of the process and the consequent de...

Analysis of the Model for Sports Enhancing Human Health Using Data Mining.

The problems of low reliability and the high fitting degree of mutual information feature extraction of traditional sports to human health enhancement...

Framework for Integrating Equity Into Machine Learning Models: A Case Study.

Predictive analytic models leveraging machine learning methods increasingly have become vital to health care organizations hoping to improve clinical ...

Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule Generation.

The application of deep learning to generative molecule design has shown early promise for accelerating lead series development. However, questions re...