Results 101 to 110 of about 24,362 (293)
Overheating Fault Analysis of Electromagnetic Unit in 220kv Capacitive Voltage Transformer
Jianchun Xu +10 more
openalex +1 more source
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 Impacts of Climate Change on Historic Buildings: Heating and Overheating in the Tower of London
The built environment requires retrofitting on a massive scale to both mitigate the impacts of climate change and adapt to future conditions. Buildings of high thermal mass offer useful insights into the limits of passive measures in futureproofing ...
Aaron Gillich
doaj +1 more source
ON THE OVERHEATING OF THE CROWN SHEET OF A LOCOMOTIVE BOILER IN CASE OF SHORT WATER
YASUJIRO SHIMA
openalex +1 more source
A field study on summertime overheating of six schools in Montreal Canada
Zihan Xie +11 more
openalex +1 more source
Impact of Uninsulated Slab-on-Grade and Masonry Walls on Residential Building Overheating [PDF]
Tadeusz Kuczyński, Anna Staszczuk
openalex +1 more source
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee +4 more
wiley +1 more source
Affect of the Scattering Asymmetry by Structural Element of Thermal- or Environmental-Barrier Ceramics on Subsurface Radiant Overheating [PDF]
V. Merzlikin +4 more
openalex +1 more source
GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li +9 more
wiley +1 more source
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese +4 more
wiley +1 more source

