Surveys

Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study.

Human activity recognition (HAR) is an important research problem in computer vision. This problem i...

MS-ACGAN: A modified auxiliary classifier generative adversarial network for schizophrenia's samples augmentation based on microarray gene expression data.

Artificial intelligence-based models and robust computational methods have expedited the data-to-kno...

Fault Diagnosis of the Autonomous Driving Perception System Based on Information Fusion.

The reliability of autonomous driving sensing systems impacts the overall safety of the driving syst...

Enabling interpretable machine learning for biological data with reliability scores.

Machine learning tools have proven useful across biological disciplines, allowing researchers to dra...

Intentional enterotomies: validation of a novel robotic surgery training exercise.

While laparoscopic simulation-based training is a well-established component of general surgery trai...

AI and machine learning ethics, law, diversity, and global impact.

Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise for p...

A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers.

In recent years, with the advancement of computer-aided diagnosis (CAD) technology and whole slide i...

Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?

There is widespread use of dietary supplements, some prescribed but many taken without a physician's...

Research Participant Selection Bias in the Workshop Using Socially Assistive Robots for Older Adults and Its Effect on Population Representativeness.

Every research participant has their own personality characteristics. For example, older adults assi...

Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson's disease.

Markerless motion capture methods are continuously in development to target limitations encountered ...

Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes.

Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis.

Nonintrusive estimation of oxygen uptake (V̇o) is possible with wearable sensor technology and artif...

A survey on automatic generation of medical imaging reports based on deep learning.

Recent advances in deep learning have shown great potential for the automatic generation of medical ...

From SLAM to Situational Awareness: Challenges and Survey.

The capability of a mobile robot to efficiently and safely perform complex missions is limited by it...

Sustainability of translator training in higher education.

The United Nations has set a Sustainable Development Goal in education to be met hopefully by 2030. ...

Deep Transfer Learning Technique for Multimodal Disease Classification in Plant Images.

Rice () is India's major crop. India has the most land dedicated to rice agriculture, which includes...

A survey of sum-product networks structural learning.

Sum-product networks (SPNs) in deep probabilistic models have made great progress in computer vision...

MD-GNN: A mechanism-data-driven graph neural network for molecular properties prediction and new material discovery.

Molecular properties prediction and new material discovery are significant for the pharmaceutical in...

A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.

Micro-computed tomography (µCT)-based imaging plays a key role in monitoring disease progression and...

Medical image super-resolution reconstruction algorithms based on deep learning: A survey.

BACKGROUND AND OBJECTIVE: With the high-resolution (HR) requirements of medical images in clinical p...

High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assess...