Results 111 to 120 of about 523,187 (303)
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Pathfinder:a performance-game for the augmented drum-kit [PDF]
Pathfinder is a performance-game for solo drummer, exploring the synergies between multiple contemporary creative practices. The work navigates between music composition, improvisation, projection/light art and game art.
Michalakos, Christos
core
Distinguishing humans from computers in the game of go: a complex network approach
We compare complex networks built from the game of go and obtained from databases of human-played games with those obtained from computer-played games. Our investigations show that statistical features of the human-based networks and the computer-based ...
Coquidé, C., Georgeot, B., Giraud, O.
core +2 more sources
Generating Art from a Computer Game: An Interview with Alison Mealey
Many artists use various types of processes, events, social patterns etc. as controlling or contributing factors in the creation of artworks. Alison Mealey has chosen to base her art on the computer game Unreal Tournament. More precisely, she lets a number of virtual players play the game for approximately 30 minutes at a time and uses the data from ...
openaire +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Spartan Daily, February 6, 1986 [PDF]
Volume 86, Issue 9https://scholarworks.sjsu.edu/spartandaily/7398/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core +2 more sources
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
The Effects of Video Games on Human Intelligence [PDF]
With the help of rapidly growing electronics industry offering more affordable electronic gaming devices, an increasing number of people have stepped into the realm of video games and as a result, playing video games has become part of life for many to ...
Hu, Wenxiang, Yuan, Lifeng
core +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source

