Tiny Machine Learning (TinyML) represents a transformative shift in deploying machine learning algorithms on resource‐constrained Internet of Things (IoT) devices. By enabling on-device inference and, ...
Broad Learning Systems (BLS) have emerged as a promising alternative to conventional deep learning architectures by utilising random feature mapping and incremental learning paradigms that expand ...