Abstract: With the rapid advancement of intelligent and distributed manufacturing, the Distributed Hybrid Flow Shop Scheduling Problem (DHFSP) has emerged as a key area of research in industrial ...
The Iran conflict highlights how geopolitical shocks drive divergence across crude oil and natural gas benchmarks. Widening ...
Abstract: Deep learning-based image classification models have been widely applied in the Industrial Internet of Things (IIoT), but studies have shown that adversarial attacks can cause ...
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