[HTML][HTML] Advancing Sustainable Manufacturing: Reinforcement Learning with Adaptive Reward Machine Using an Ontology-Based Approach
F Golpayegani, S Ghanadbashi, A Zarchini - Sustainability, 2024 - mdpi.com
Sustainable manufacturing practices are crucial in job shop scheduling (JSS) to enhance
the resilience of production systems against resource shortages and regulatory changes …
the resilience of production systems against resource shortages and regulatory changes …
[HTML][HTML] Attention-Driven Transfer Learning Model for Improved IoT Intrusion Detection
The proliferation of Internet of Things (IoT) devices has become inevitable in contemporary
life, significantly affecting myriad applications. Nevertheless, the pervasive use of …
life, significantly affecting myriad applications. Nevertheless, the pervasive use of …
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments
Microservice architectures are increasingly used to modularize IoT applications and deploy
them in distributed and heterogeneous edge computing environments. Over time, these …
them in distributed and heterogeneous edge computing environments. Over time, these …