Developing methodologies to accurately characterise the energy conditions of existing building stock is a fundamental aspect consumption reduction strategies. To that end, case study using thermal information modelling method for buildings (as-is T-BIM) reported. This proposed new based on automatic processing 3D clouds interior zones generates semantic proprietary model contains time series su...

Generative image models have been extensively studied in recent years. In the unconditional setting, they model marginal distribution from unlabelled images. To allow for more control, synthesis can be conditioned on semantic segmentation maps that instruct generator position of objects image. While these two tasks are intimately related, generally isolation. We propose OCO-GAN, Optionally COnd...

Classical conditioning paradigms, such as trace conditioning, in which a silent period elapses between the offset of the conditioned stimulus (CS) and the delivery of the unconditioned stimulus (US), and delay conditioning, in which the CS and US coterminate, are widely used to study the neural substrates of associative learning. However, there are significant gaps in our knowledge of the neura...