Broad learning system (BLS) with semi-supervised learning relieves label dependence and
expands application. Despite some efforts and progress, the semi-supervised BLS still …

In the fourth industrial revolution, artificial intelligence and machine learning (ML) have
increasingly been applied to manufacturing, particularly additive manufacturing (AM), to …

Real-time safety assessment of dynamic systems is of paramount importance in industrial
processes since it provides continuous monitoring and evaluation to prevent potential harm …

Federated Learning (FL) revolutionizes collaborative machine learning among Internet of
Things (IoT) devices by enabling them to train models collectively while preserving data …

A popular network called Broad Learning System (BLS) has garnered substantial interest
and adoption across various domains. However, due to the random initialization of weights …

The Broad Learning System Forest (BLSF) model proved to be the preeminent classifier
across all assessed datasets, demonstrating outstanding performance and efficiency. In the …

The state-of-the-art online learning models generally conduct a single online gradient
descent when a new sample arrives and thus suffer from suboptimal model weights. To this …

The Broad Learning System (BLS) has been established as an effective flat network
alternative to Deep Neural Networks (DNNs), delivering high efficiency while achieving …