Results 231 to 240 of about 31,099 (289)
Echoes of the Modern Training Periodization Concepts in Russia Before the October 1917 Revolution. [PDF]
Bartolomei S +5 more
europepmc +1 more source
Real‐Time Conformal Maps and Parameterizations
Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley +1 more source
Enhancing pedagogical practices with Artificial Neural Networks in the age of AI to engage the next generation in Biomathematics. [PDF]
Morales-Morales J +3 more
europepmc +1 more source
Basis Networks: Learning basis functions for free‐form triangulations
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley +1 more source
Effective Data Collection Approaches for Citizen Science in Biodiversity Research. [PDF]
Kozak O +6 more
europepmc +1 more source
CLusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci +6 more
wiley +1 more source
Editor's view: What makes a scientist successful? [PDF]
Rudan I.
europepmc +1 more source
Survey on Visualization of Information Diffusion over Networks
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl +8 more
wiley +1 more source
The Story(line) So Far: A Survey on Storyline Visualization
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo +4 more
wiley +1 more source

