Results 51 to 60 of about 38,339 (258)
Inductive Subgraph Embedding for Link Prediction
5 pages, 2 figures, 1 ...
Miao, Chunyu +5 more
openaire +2 more sources
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Efficiency Enhancement of Wireless Powering Process for Low Impedance Biosensors
Wireless charging of biosensors represents a significant advancement in biomedical devices, especially in wearable and implanted health monitoring systems.
Abdulkareem Mokif Obais
doaj +1 more source
A Multicycle Q-Modulation for Dynamic Optimization of Inductive Links [PDF]
This paper presents a new method, called multi-cycle Q-modulation, which can be used in wireless power transmission (WPT) to modulate the quality factor (Q) of the receiver (Rx) coil and dynamically optimize the load impedance to maximize the power transfer efficiency (PTE) in two-coil links.
Byunghun Lee +2 more
openaire +2 more sources
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Implantable electronic devices are powerful tools to alleviate a range of medical conditions. To minimize the risk of infections and increase patient comfort, no wires should penetrate the skin.
Maarten Schelles +5 more
doaj +1 more source
Few-shot Relation Reasoning Model Based on Graph Neural Network and Meta-Learning [PDF]
Knowledge graph relation reasoning aims to infer missing links between entities. Current knowledge graph relation reasoning models perform poorly when reasoning with few-shot relations and struggle to reason for entities that are not seen during training.
LIU Wenjie, CHEN Liang, REN Zhijie
doaj +1 more source
Graph2Feat: Inductive Link Prediction via Knowledge Distillation
Link prediction between two nodes is a critical task in graph ma- chine learning. Most approaches are based on variants of graph neural networks (GNNs) that focus on transductive link prediction and have high inference latency. However, many real-world appli- cations require fast inference over new nodes in inductive settings where no information on ...
Ahmed E. Samy +2 more
openaire +1 more source
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source

