Latest AI and machine learning research in product alert for healthcare professionals.
Effective training and debriefing are critical in high-stakes, mission-critical environments such ...
Image-based multi-object detection (MOD) and multi-object tracking (MOT) are advancing at a fast p...
Deep learning models based on graph neural networks have emerged as a popular approach for solving...
Calculating percentage bone loss is a critical test for periodontal disease staging but is sometim...
Depression is a widespread mental health disorder, and clinical interviews are the gold standard f...
Accurate gait event detection is crucial for gait analysis, rehabilitation, and assistive technolo...
Event cameras, with a high dynamic range exceeding $120dB$, significantly outperform traditional e...
The precise identification of tree species is fundamental to forestry, conservation, and environme...
Low-bit model quantization for image super-resolution (SR) is a longstanding task that is renowned...
One of the goals of Federated Learning (FL) is to collaboratively train a global model using local...
Extracting tables from documents is a critical task across various industries, especially on busin...
Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep b...
Neural networks (NNs), with their powerful nonlinear mapping and end-to-end capabilities, are wide...
Drug-side effect research is vital for understanding adverse reactions arising in complex multi-dr...
White blood cells (WBC) are important parts of our immune system, and they protect our body agains...
Post-training quantization (PTQ) has emerged as a promising solution for reducing the storage and ...
The growing complexity of machine learning and deep learning models has led to an increased relian...
Event-guided imaging has received significant attention due to its potential to revolutionize inst...
There has been significant focus on creating neuro-symbolic models for interpretable image classif...
Reinforcement learning (RL) has demonstrated success in automating insulin dosing in simulated typ...
Federated Learning (FL) allows collaborative model training among distributed parties without pool...