Overall, RL-based surgical robotics appears mature at the simulation stage but remains preclinical for autonomous clinical deployment, and future progress requires stronger sim-to-real validation, multimodal safety-aware architectures, alignment with IEC 62304, ISO 14971, FDA guidance, and the EU AI Act, and open bench...
M. Shahid, Abdullah, Zulaikha Fatima et al.· Biomimetics· 0 citations
The findings demonstrate that transformer-based multi-label learning can support scalable, reproducible analysis of HIV-related health perceptions in online communities, with potential applications in public health surveillance, communication strategy design, and digital intervention planning.
A. Abadian, Abdullah, Zulaikha Fatima et al.· Scientific Reports· 0 citations
H-FuseNet is proposed, a hybrid multi-representation fusion framework that combines pretrained transformer representations with deception-oriented handcrafted linguistic, stylistic, and semantic features that can improve the reliability of automated fake news detection systems.
A. Mahmood, Marek Sikora, M. Ather et al.· Machine Learning and Knowled...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
