Results 81 to 90 of about 3,637,319 (313)

dsCleaner: A Python Library to Clean, Preprocess and Convert Non-Instrusive Load Monitoring Datasets

Data, 2019
Datasets play a vital role in data science and machine learning research as they serve as the basis for the development, evaluation, and benchmark of new algorithms.
Manuel Pereira, Nuno Velosa, Lucas Pereira   +2 more
doaj   +1 more source

Potential and limits of numerical modelling for supporting the development of HTS devices

, 2015
In this paper, we present a general review of the status of numerical modelling applied to the design of high temperature superconductor (HTS) devices.
Grilli, Francesco, Sirois, Frédéric
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Detecting somatisation disorder via speech: introducing the Shenzhen Somatisation Speech Corpus

Intelligent Medicine
Objective: Speech recognition technology is widely used as a mature technical approach in many fields. In the study of depression recognition, speech signals are commonly used due to their convenience and ease of acquisition. Though speech recognition is
Kun Qian, Ruolan Huang, Zhihao Bao, Yang Tan, Zhonghao Zhao, Mengkai Sun, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto   +8 more
doaj   +1 more source

Development and Impact of Scientific and Technical Factors on the Development of Innovative Processes of Small Business in the System of Large Production

Управленческое консультирование, 2019
The article deals with the development of the system of state support of innovative entrepreneurship. The mechanism of influence of scientific and technical factors on the development of innovative processes in small businesses.
R. R. Versockiy, A. A. Kuprin
doaj   +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

Potential Benefit of Carbon Benchmarking: Analysis of Semiconductor Industry in Taiwan

Applied Sciences, 2018
The main purpose of this study is to explore the carbon reduction environmental benefits that can be achieved if carbon benchmarking is applied when semiconductor manufacturers in Taiwan work to improve the technical efficiency of their carbon reduction ...
Je-Liang Liou, Pei-Ing Wu, Ching-Ren Chiu   +2 more
doaj   +1 more source

Microscopic calculation of 240Pu scission with a finite-range effective force

, 2009
Hartree-Fock-Bogoliubov calculations of hot fission in $^{240}\textrm{Pu}$ have been performed with a newly-implemented code that uses the D1S finite-range effective interaction.
D. Gogny, D. Gogny, N. N. Bogoliubov, N. N. Bogoliubov, P. Ring, W. Younes, W. Younes   +6 more
core   +1 more source

The Impact of High‐Productivity Processing on the Fatigue Failure of an Additive Manufactured Superalloy HAYNES 282

Advanced Engineering Materials, EarlyView.
The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh, Ahmed Fardan, Tatiana Mishurova, Eduard Hryha   +3 more
wiley   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source