1. ConvSNN: an energy-efficient hybrid convolutional-spiking neural network for wrist-worn stress and affective state recognition
  2. Hybrid timber-based and conventional building systems: a systematic review
  3. Multi-scale spatiotemporal EEG and self-supervised audio fusion: a mixture-of-experts approach to continuous affect
  4. Simulation-based evaluation of LiDAR–photogrammetry fusion via NeRF reconstruction and ICP registration in urban scenes
  5. Direct parallel–hierarchical transformation based on evolutionary development models: application to laser beam spot image processing with a prospective extension to railway track infrastructure maintenance