Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Framework for Enhancing Knowledge Transfer in Artificial Intelligence

Adaptive Meta-Domain Transfer Learning (AMDTL) is a novel framework that combines meta-learning and domain adaptation techniques to enhance the transferability and adaptability of AI models across diverse and unknown domains.