Full and current list on Google Scholar.
Construction Research Congress 2026, ASCE, pp. 349–358
Assesses mental fatigue from EEG while workers hold construction postures with exoskeleton support, using GAN-based augmentation to overcome limited training data.
IEEE 22nd Consumer Communications & Networking Conference (CCNC)
A dynamic context detection framework that uses SBERT, attention layers and zero-shot classification so smart homes can adapt to new IoT environments.
7th Conference on Cloud and Internet of Things (CIoT)
Proposes ten metamorphic relations to verify and validate a context recognition model for smart home voice commands.
IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 218–221
Extracts context from short spoken text using transfer learning, SBERT encoding and an attention mechanism.
Missouri State University
A two-step approach: a transformer-and-attention context recognition model, then a framework that groups new conversational data so the system can learn new contexts. Supported by a Graduate College thesis fund.
Cybersecurity for Smart Cities: Practices and Challenges, Springer, pp. 105–120
Surveys how misinformation spreads, its effect on smart cities, and techniques for detecting it.