A comprehensive survey of generative adversarial networks (GANs) in cybersecurity intrusion detection
Generative Adversarial Networks (GANs) have seen significant interest since their
introduction in 2014. While originally focused primarily on image-based tasks, their capacity …
introduction in 2014. While originally focused primarily on image-based tasks, their capacity …
Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Drug development is expensive, time-consuming, and has a high failure rate. In recent
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
Ultrasound (US) imaging is widely used for anatomical structure inspection in clinical
diagnosis. The training of new sonographers and deep learning based algorithms for US …
diagnosis. The training of new sonographers and deep learning based algorithms for US …
Language-driven artistic style transfer
Despite having promising results, style transfer, which requires preparing style images in
advance, may result in lack of creativity and accessibility. Following human instruction, on …
advance, may result in lack of creativity and accessibility. Following human instruction, on …
Trustworthy and intelligent covid-19 diagnostic iomt through xr and deep-learning-based clinic data access
This article presents a novel extended reality (XR) and deep-learning-based Internet-of-
Medical-Things (IoMT) solution for the COVID-19 telemedicine diagnostic, which …
Medical-Things (IoMT) solution for the COVID-19 telemedicine diagnostic, which …
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
A survey of generative adversarial networks for synthesizing structured electronic health records
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
[HTML][HTML] Challenges of using synthetic data generation methods for tabular microdata
M Miletic, M Sariyar - Applied Sciences, 2024 - mdpi.com
Featured Application This study's findings hold significant implications for enhancing data
privacy and utility in healthcare analytics. By evaluating synthetic data generation methods …
privacy and utility in healthcare analytics. By evaluating synthetic data generation methods …
Few-shot learning for fine-grained emotion recognition using physiological signals
Fine-grained emotion recognition can model the temporal dynamics of emotions, which is
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
A survey of synthetic data augmentation methods in machine vision
A Mumuni, F Mumuni, NK Gerrar - Machine Intelligence Research, 2024 - Springer
The standard approach to tackling computer vision problems is to train deep convolutional
neural network (CNN) models using large-scale image datasets that are representative of …
neural network (CNN) models using large-scale image datasets that are representative of …