Latest AI and machine learning research in work force for healthcare professionals.
As the number of patients with heart failure increases, machine learning (ML) has garnered attenti...
Diffusion models have achieved remarkable success in text-to-image generation. However, their prac...
Knowledge of the force time history of a structure is essential to assess its behaviour, ensure sa...
Transformers, particularly Vision Transformers (ViTs), have achieved state-of-the-art performance ...
The application of machine learning (ML) to electroencephalography (EEG) has great potential to ad...
The success of multi-modal large language models (MLLMs) has been largely attributed to the large-...
The increasing prevalence of synthetic data in training loops has raised concerns about model coll...
Reasoning segmentation is a challenging vision-language task that aims to output the segmentation ...
While large language models (LLMs) are increasingly adapted for recommendation systems via supervi...
While existing anomaly synthesis methods have made remarkable progress, achieving both realism and...
Semantic communication has emerged as a transformative paradigm in next-generation communication s...
Artificial intelligence generated content (AIGC), known as DeepFakes, has emerged as a growing con...
Robotic assembly remains a significant challenge due to complexities in visual perception, functio...
Cardiac ultrasound (US) scanning is a commonly used techniques in cardiology to diagnose the healt...
This research focuses on the development and enhancement of text-to-image denoising diffusion mode...
Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained i...
First-person video assistants are highly anticipated to enhance our daily lives through online vid...
Scoring functions (SFs) of molecular docking is a vital component of structure-based virtual screeni...
Gas leakage poses a significant hazard that requires prevention. Traditionally, human inspection h...
Deep learning-based weed control systems often suffer from limited training data diversity and con...
We introduce a novel question-answering (QA) dataset using echocardiogram reports sourced from the...