Results 151 to 160 of about 725,079 (307)

Growth modeling of plant individuals growing in grassland with photoenvironment data by using 3D computer graphics

, 2012
Yoichi KUNII, Chisato YAMAZAKI, Masayuki Nemoto   +2 more
openalex   +2 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

LandSIM3D: modellazione in real time 3D di dati geografici

GEOmedia, 2009
LandSIM3D: realtime 3D modelling of geographic data LandSIM3D allows to model in 3D an existing landscape in a few hours only and geo-referenced offering great landscape analysis and understanding tools.
Lambo Srl Lambo Srl
doaj   +2 more sources

3D Computer Graphics Production based on Photogrammetric Technology for Visualization of Courses in The 91st Hakone Ekiden

, 2016
Yugo Minomo, Makoto Sato, Toshiaki Suzuki, Masato Kamizaki   +3 more
openalex   +2 more sources

Bioinspired Design of Isotropic Lattices with Tunable and Controllable Anisotropy

Advanced Engineering Materials, EarlyView.
This study introduces nested isotropic lattices, integrating architectural elements like nesting orders and orientations inspired by bioarchitectures. The design enables tunable anisotropy across nine mono‐nest and twenty multi‐nest lattices with 252 parametric variations, demonstrating transitions from shear‐ to tensile‐compression‐dominant behaviors ...
Ramalingaiah Boda, Biranchi Panda, Shanmugam Kumar   +2 more
wiley   +1 more source

Beyond Global Mechanical Properties: Bioinspired Triply‐Periodic Minimal Surface Cellular Solids for Efficient Mechanical Design and Optimization

Advanced Engineering Materials, EarlyView.
Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish, Christian Hamm, Reinhold Kienzler   +2 more
wiley   +1 more source

The use of 3D computer graphics to preserve, reproduce and obtain information relating to a historically valuable object

, 2019
Maksymilian Szpyt
openalex   +2 more sources

An efficient local clustering approach for simplification of 3D point-based computer graphics models [PDF]

, 2006
Zhiwen Yu, Hau−San Wong
openalex   +1 more source

GraphicsDreamer: Image to 3D Generation with Physical Consistency [PDF]

arXiv
Recently, the surge of efficient and automated 3D AI-generated content (AIGC) methods has increasingly illuminated the path of transforming human imagination into complex 3D structures. However, the automated generation of 3D content is still significantly lags in industrial application.
arxiv  

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source