Dynamic hovering for uncrewed underwater vehicles via an error-separation-based cooperative strategy. [PDF]
Luan X, Yu S, Wan H, Liu F.
europepmc +1 more source
Quantitative Metrics for Edge Bundling of Network Visualizations
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source
Heliconiini butterflies display flight behaviours reminiscent of orientation flights when using new floral sources. [PDF]
Dell'Aglio DD +2 more
europepmc +1 more source
Serendipitous Explanations: Interaction‐Triggered Comprehension Aids in Visualization
Abstract Evidence continues to accrue around the difficulties people have understanding new and complex visualizations, which in turn provides continued incentive to explore additional methods of supporting visualization viewers. Through leveraging viewers' spontaneous visualization sensemaking activities, we introduce a Serendipitous Explanation ...
M. Rezaie, M. Tory, S. Carpendale
wiley +1 more source
Enabling multirotor UAVs to perch, land and detach with standard propeller guards. [PDF]
Zou Y +7 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
Adaptive robust backstepping control for quadcopter UAV based on integral sliding mode surface. [PDF]
Mao Y, Deng C, Qing D, Lv W, Yu Y.
europepmc +1 more source
Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis
Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley +1 more source
Early warning signals for loss of control in complex systems. [PDF]
van Beers JJ +5 more
europepmc +1 more source
Evaluating Encodings for Bivariate Edges in Adjacency Matrices
Abstract We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real‐world networks, edges represent not a single value but a set of measurements. While adjacency matrices preserve structural clarity, their compact cells limit the simultaneous display of multiple
J. Acosta‐Hernández, A. Lex, T. He
wiley +1 more source

