Results 41 to 50 of about 9,993 (290)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Visual Analytics in Explaining Neural Networks with Neuron Clustering
Deep learning (DL) models have achieved state-of-the-art performance in many domains. The interpretation of their working mechanisms and decision-making process is essential because of their complex structure and black-box nature, especially for ...
Gulsum Alicioglu, Bo Sun
doaj +1 more source
Oil spill detection on X-band marine radar images based on sea clutter fitting model
Oil spills could cause great harm to the natural environment. The ability to identify them accurately is critical for prompt response and treatment. We proposed a sea clutter fitting model of marine radar images for oil spill detection.
Peng Liu +4 more
doaj +1 more source
A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang +11 more
wiley +1 more source
How do task-irrelevant visual load (Clutter) and depth impact visual search?
In natural scenes, Rosenholtz and colleagues (2007) proposed that levels of clutter (disorder in a scene) can serve as a predictor of visual load within a scene.
Lindsay Houck, Wentao Si
core +1 more source
From Local Interfaces to Global Challenges: Auditing Digital Noise on University Websites in Poland
University website research to date tends to focus on conformity with technical standards. It rarely analyses the systemic nature of digital noise and its cognitive impacts.
Karol Król
doaj +1 more source
Optimization of Visual Information Presentation for Visual Prosthesis
Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information ...
Fei Guo, Yuan Yang, Yong Gao
doaj +1 more source
Semantic-Aware Visual Abstraction of Large-Scale Social Media Data With Geo-Tags
With the rapid growth of geo-tagged social media data, it has become feasible to explore topics across different areas through text mining and geographical visualization. However, the visual elements of social media data always overlap with each other in
Zhiguang Zhou +3 more
doaj +1 more source
Tables and charts have long been seen as effective ways to convey data. Much attention has been focused on improving charts, following ideas of human perception and brain function. Tables can also be viewed as two‐dimensional representations of data; yet,
Miriam Remshard, Simon A. Queenborough
doaj +1 more source
Research progress on key issues of UWB radar echo information processing for borehole rescue
Borehole rescue technology has been widely used as a new rescue technique for the rapid construction of life way. UWB radar can be used to detect life information under non-visual conditions, but the UWB radar echoes are easily affected by the noise ...
Xuezhao ZHENG +5 more
doaj +1 more source

