Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome

J Ong, A Tavakkoli, N Zaman, SA Kamran… - npj …, 2022 - nature.com
The neuro-ocular effects of long-duration spaceflight have been termed Spaceflight
Associated Neuro-Ocular Syndrome (SANS) and are a potential challenge for future, human …

How generative adversarial networks promote the development of intelligent transportation systems: A survey

H Lin, Y Liu, S Li, X Qu - IEEE/CAA journal of automatica sinica, 2023 - ieeexplore.ieee.org
In current years, the improvement of deep learning has brought about tremendous changes:
As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) …

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

L Alzubaidi, J Bai, A Al-Sabaawi, J Santamaría… - Journal of Big Data, 2023 - Springer
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis

C Gao, BD Killeen, Y Hu, RB Grupp… - Nature Machine …, 2023 - nature.com
Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …

Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence

PS Paladugu, J Ong, N Nelson, SA Kamran… - Annals of biomedical …, 2023 - Springer
The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the
field of medicine. Although highly effective, the rapid expansion of this technology has …

Generative ai in the construction industry: Opportunities & challenges

P Ghimire, K Kim, M Acharya - arxiv preprint arxiv:2310.04427, 2023 - arxiv.org
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

A comprehensive review of recent advances in artificial intelligence for dentistry e-health

I Shafi, A Fatima, H Afzal, IT Díez, V Lipari, J Breñosa… - Diagnostics, 2023 - mdpi.com
Artificial intelligence has made substantial progress in medicine. Automated dental imaging
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …

[책][B] Deep learning: A beginners' guide

D Meedeniya - 2023 - books.google.com
This book focuses on deep learning (DL), which is an important aspect of data science, that
includes predictive modeling. DL applications are widely used in domains such as finance …

Glaucoma detection with retinal fundus images using segmentation and classification

T Shyamalee, D Meedeniya - Machine Intelligence Research, 2022 - Springer
Glaucoma is a prevalent cause of blindness worldwide. If not treated promptly, it can cause
vision and quality of life to deteriorate. According to statistics, glaucoma affects …

Early detection of thermoacoustic instability in a solid rocket motor: A generative adversarial network approach with limited data

G Xu, B Wang, Y Guan, Z Wang, P Liu - Applied Energy, 2024 - Elsevier
Thermoacoustic instability (TAI) poses a significant challenge to the development of solid
rocket motor (SRM) and detecting early warning signals (EWS) for TAI is crucial. Deep …