Recipe Based Anomaly Detection with Adaptable Learning: Implications on Sustainable Smart Manufacturing by Junhee Lee, Jaeseok Jang, Qing Tang, Hail Jung

“…Meanwhile, the integrated model, which does not consider variations in settings, only predicted 2 defects, indicating poor and distorted quality inspection. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Furthermore, an RL-based IDS (RL-IDS) that incorporates RNNs and autoencoders with a deep Q-network was proposed to enhance threat detection. …”
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Siamese network with squeeze-attention for incomplete multi-view multi-label classification by Mengqing Wang, Jiarui Chen, Lian Zhao, Yinghao Ye, Xiaohuan Lu

“…Furthermore, considering the task-specific importance variation exhibited by each view, we apply the squeeze attention-weighted fusion (SWF) strategy, which performs feature dimensionality reduction to amplify the key characteristics from each view and enables the model to flexibly adjust the influence of each perspective. …”
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