Large Language Models (LLMs) have achieved remarkable results. But existing models are
expensive to train and deploy, and it is also difficult to expand their knowledge beyond pre …

The human respiratory network is a vital system that provides oxygen supply and
nourishment to the whole body. Pulmonary diseases can cause severe respiratory …

Screening cluttered and occluded contraband items from baggage X-ray scans is a
cumbersome task even for the expert security staff. This article presents a novel strategy that …

Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …

Continual learning aims at incrementally acquiring new knowledge while not forgetting
existing knowledge. To overcome catastrophic forgetting, methods are either rehearsal …

Federated and Continual Learning have emerged as potential paradigms for the robust and
privacy-aware use of Deep Learning in dynamic environments. However, Client Drift and …

Artificial neural networks are used in many state-of-the-art systems for perception, and they
thrive at solving classification problems, but they lack the ability to transfer that learning to a …

Accurate counting of pears in orchard environments is essential for crop management.
However, due to the time and labor cost of manual counting, farmers rely on sampling a few …

Continual learning (CL) models are designed to learn new tasks arriving sequentially
without re-training the network. However, real-world ML applications have very limited label …

Overfitting is a phenomenon that occurs when a machine learning model is trained for too
long and focused too much on the exact fitness of the training samples to the provided …