SinoXivGas leaks pose severe risks to human health and industrial safety. However, accurate and timely monitoring of gas leaks remains a major challenge. Existing vision-based methods using infrared (IR) ima...
Background Artificial intelligence (AI), particularly large language models (LLMs), has emerged as a promising tool in healthcare, with potential applications in clinical decision support and dental e...
Clustering is widely used to discover interpretable structure in data, but conventional unsupervised methods group examples by \emph{feature similarity} alone, ignoring any available prediction tar...
Live and Dead Knot Segmentation in X-ray Computed Tomography: A Comparative Study of Modern Networks
Reliable segmentation of live and dead knots in X-ray computed tomography images is crucial for automated wood grading and sawing yield optimisation in the timber industry. Segmentation in wet-state X...
Federated learning has emerged as the dominant paradigm for privacy-preserving intrusion detection across distributed networks, yet its vulnerability to adversarial manipulation of the training proces...
The current data validation systems are mostly reactive, static, and resource-heavy which may lead to interruptions of pipelines and will not be able to detect data corruption in real-time settings. T...
Background Esophageal abnormalities cause severe health complications. Diagnosis is traditionally performed on endoscopic imaging, but the method is highly subjective and prone to inter-observer varia...
Deep learning has achieved remarkable accuracy in medical image segmentation, particularly for larger structures with well-defined boundaries. However, its effectiveness can be challenged by factors s...
Engineering design optimization problems characterized by highly nonlinear, tightly constrained, and mixed-variable formulations remain challenging for conventional metaheuristic approaches, particula...
Persistent homology (PH)—the conventional method in topological data analysis—is computationally expensive, requires further vectorization of its signatures before machine learning (ML) can be applied...
