Results 101 to 110 of about 599,022 (331)
Advanced Engineering Materials, EarlyView.An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu +8 more
wiley +1 more source
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study [PDF]
, 2023 Muzhou Yu, Linfeng Zhang, Kaisheng Ma
openalex +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
, 2018 One of the biggest issues facing the use of machine learning in medical imaging is the lack of availability of large, labelled datasets. The annotation of medical images is not only expensive and time consuming but also highly dependent on the availability of expert observers.
Bowles, C +9 more
openaire +3 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Photoswitchable Conductive Metal–Organic Frameworks
Advanced Functional Materials, EarlyView.A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
DiagnosticsBackground/Objectives: Rib fracture detection holds critical importance in the field of medical image processing. Methods: In this study, two different data augmentation methods, traditional data augmentation (Albumentations) and focused data ...
Mehmet Çağrı Göktekin +7 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This study uncovers a new switching mechanism in HfO2 and ZrO2, where the absence of a non‐polar layer along the a‐direction induces interaction between polar layers. Consequently, the switching barriers for growth are lower than those for nucleation in this direction, leading to a size‐dependent coercive field that matches experimental observations ...
Kun Hee Ye +6 more
wiley +1 more source
CycleGAN Variants for Industrial Defect Data Augmentation [PDF]
ITM Web of ConferencesIndustrial visual inspection is constrained by scarce labeled defect samples and complex surface patterns in bearings, steel, and ICs, significantly hindering deep learning detection models.
Xu Xiaoyu
doaj +1 more source
EquiScore: A generic protein-ligand interaction scoring method integrating physical prior knowledge with data augmentation modeling [PDF]
, 2023 Duanhua Cao +14 more
openalex +1 more source