Surveys

Memory augmented recurrent neural networks for de-novo drug design.

A recurrent neural network (RNN) is a machine learning model that learns the relationship between el...

A Survey of Deep Learning-Based Image Restoration Methods for Enhancing Situational Awareness at Disaster Sites: The Cases of Rain, Snow and Haze.

This survey article is concerned with the emergence of vision augmentation AI tools for enhancing th...

A Novel Approach to Predict Brain Cancerous Tumor Using Transfer Learning.

As the most prevalent and deadly malignancy, brain tumors have a dismal survival rate when they are ...

College Organizational Innovation Performance-Oriented Internal Mechanism Analysis Using Lightweight Deep Learning under Health Psychology.

The purpose is to improve employees' initiative and innovation performance and further improve the o...

Construction and Research on Chinese Semantic Mapping Based on Linguistic Features and Sparse Self-Learning Neural Networks.

In this paper, we adopt the algorithms of linguistic feature Rong and sparse self-learning neural ne...

Design of Digital and Intelligent Financial Decision Support System Based on Artificial Intelligence.

The quality of financial decision-making is very important to the future development of an enterpris...

Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring.

In industrial processes, different operating conditions and ratios of ingredients are used to produc...

Confounding factors need to be accounted for in assessing bias by machine learning algorithms.

Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms.

Reply to: 'Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms' and 'Confounding factors need to be accounted for in assessing bias by machine learning algorithms'.

FLeAC: A Human-Centered Associative Classifier Using the Validity Concept.

Fuzzy associative classifiers (FACs) have recently received considerable attention in the data minin...

An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.

INTRODUCTION: As a profession, radiographers have always been keen on adapting and integrating new t...

Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence.

The study aims to explore the influence of big data on college students' learning methods of ideolog...

Analysis of the Relationship between Transformational Leadership and Educational Management in Higher Education Based on Deep Learning.

Leadership behavior has been emphasized as one of the most important influencing factors in the inno...

Rule extraction from biased random forest and fuzzy support vector machine for early diagnosis of diabetes.

Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which delays tr...

Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.

BACKGROUND: Previous epidemiological studies have examined the prevalence and risk factors for a var...

Polishing copy number variant calls on exome sequencing data via deep learning.

Accurate and efficient detection of copy number variants (CNVs) is of critical importance owing to t...

Deep learning for Alzheimer's disease diagnosis: A survey.

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a progressive ...

A Survey of Robot Swarms' Relative Localization Method.

For robot swarm applications, accurate positioning is one of the most important requirements for avo...

The Use of Big Data Combined with Artificial Intelligence Neural Network Technology in Urban Spatial Evaluation System.

This exploration aims to promote the development of urbanization in China and improve the utilizatio...

Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning.

The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Base...