Results 41 to 50 of about 24,705,727 (296)
Additonal files for training the models presented in https://github.com/VDelv/Spatio-Temporal-EEG-Analysis./!\ The signals are adapted version of two datasets.
Victor Delvigne (9646544)
core +1 more source
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
LUOJIA Explorer: A Multi-robot Autonomous Exploration and Mapping System for Unknown Spaces [PDF]
As human exploration of space advances, the exploration of unknown spaces and the construction of digital twins for these environments have become increasingly important. Autonomous exploration and mapping by unmanned systems is one of the key methods to
C. Chen +21 more
doaj +1 more source
With the popularity of location-based social networks such as Weibo and Twitter, there are many records of points of interest (POIs) showing when and where people have visited certain locations.
Ruijing Li +4 more
doaj +1 more source
Spatio-temporal population modelling for enhanced assessment of urban exposure to flood risk [PDF]
There is a growing need for high resolution spatio-temporal population estimates which allow accurate assessment of population exposure to natural hazards.
David Martin +5 more
core +1 more source
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi +14 more
wiley +1 more source
LUOJIA Explorer PMS: Panoramic Odometry and Mapping with Structural Information [PDF]
Accurate dense reconstruction of unknown spatial environments is crucial for applications such as underground exploration and planetary missions. Existing methods face challenges like observing blind spots and the difficulty of edge feature extraction in
Y. Xu +21 more
doaj +1 more source
LiDAR Simultaneous Localization and Mapping (SLAM) is able to map unknown scene while online estimating the LiDAR’s pose. Traditional LiDAR SLAM frameworks mainly rely on geometric features in the environments, but ignore LiDAR intensity information ...
Xing Zhang +4 more
doaj +1 more source
Spatio-temporal ToF data enhancement by fusion [PDF]
We propose an extension of our previous work on spatial domain Time-of-Flight (ToF) data enhancement to the temporal domain. Our goal is to generate enhanced depth maps at the same frame rate of the 2-D camera that, coupled with a ToF camera, constitutes a hybrid ToF multi-camera rig.
Frederic Garcia +3 more
openaire +4 more sources
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source

