How can one construct spatial histories and architectural theories from gestures, words and voices, bodies and minor threads?
This research delves into oral and embodied architectural and spatial knowledge as modes of producing buildings, spaces and spati ...
Semantic segmentation for remote sensing images (RSI) is critical for the Earth monitoring system. However, the covariate shift between RSI datasets under different capture conditions cannot be alleviated by directly using the unsupervised domain adaptatio ...
Training deep neural network based Automatic Speech Recognition (ASR) models often requires thousands of hours of transcribed data, limiting their use to only a few languages. Moreover, current state-of-the-art acoustic models are based on the Transformer ...
Transcranial (electro)magnetic stimulation (TMS) is currently the method of choice to non-invasively induce neural activity in the human brain. A single transcranial stimulus induces a time-varying electric field in the brain that may evoke action potentia ...
This manuscript serves a specific purpose: to give readers from fields such as material science, chemistry, or electronics an overview of implementing a reservoir computing (RC) experiment with her/his material system. Introductory literature on the topic ...
As in oceans, large-scale coherent circulations such as gyres and eddies are ubiquitous features in large lakes that are subject to the Coriolis force. They play a crucial role in the horizontal and vertical distribution of biological, chemical and physica ...
Grid cells are place-modulated neurons that encode the location of an agent in space, relying on the integration of various sensorimotor signals from the body. Of note, the integration of those signals is also fundamental for the agent's conscious experien ...
This paper is divided into three parts. The first introduces a trilogy of concepts and figures of the discourse. The concept of isotropy, as opposed to hierarchy, evokes the same conditions in all directions. The concept of porosity tackles the fluidity an ...
Biofilms are spatially structured ecosystems, characterized by patterns and architectural features determined by the interplay between endogenous and exogenous processes. As in many other structured ecosystems, the characterization of spatial interactions ...
We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for the study of moving organs such as the heart. We introduce a generalized version of t ...
Institute of Electrical and Electronics Engineers2021
