Results 81 to 90 of about 357,414 (246)

Learning from errors: Exploration of the monitoring learning effect. [PDF]

Cognition, 2022
Middleton EL, Schwartz MF, Dell GS, Brecher A.   +3 more
europepmc   +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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Robust Learning with Kernel Mean p-Power Error Loss

IEEE transactions on cybernetics, 2016
11 pages, 7 figures, 10 ...
Chen, Badong, Xing, Lei, Wang, Xin, Qin, Jing, Zheng, Nanning   +4 more
openaire   +3 more sources

Mitigating work conditions that can inhibit learning from errors: Benefits of error management climate perceptions. [PDF]

Front Psychol, 2023
van Mourik O, Grohnert T, Gold A.
europepmc   +1 more source

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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Anonymous Quantum Safe Construction of Three Party Authentication and Key Agreement Protocol for Mobile Devices

IEEE Access
Once the shared secret key is established, three parties can use it for secure communication using symmetric-key encryption AES (128, 192, 256) algorithms or other cryptographic primitives.
Dharminder Chaudhary, Pradeep Kumar Dadsena, A. Padmavathi, Mohammad Mehedi Hassan, Bader Fahad Alkhamees, Uddeshaya Kumar   +5 more
doaj   +1 more source

Learning From Errors: Exploring the Effectiveness of Enhanced Error Messages in Learning to Program. [PDF]

Front Psychol, 2021
Zhou Z, Wang S, Qian Y.
europepmc   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

A Keyword-Searchable ABE Scheme From Lattice in Cloud Storage Environment

IEEE Access, 2019
Currently, the security situation of data security and user privacy protection is increasingly serious in cloud environment. Ciphertext data storage can prevent the risk of user's privacy disclosure.
Lihua Liu, Shangping Wang, Bintao He, Duo Zhang   +3 more
doaj   +1 more source