Results 161 to 170 of about 53,972 (305)

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Neural Machine Translation into Language Varieties

, 2018
Both research and commercial machine trans- lation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among lan- guage varieties.
A. Aerofeeva, M. Federico, Aliia Erofeeva, Marcello Federico, S. M. Lakew, Surafel Melaku Lakew   +5 more
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. [PDF]

AMIA Jt Summits Transl Sci Proc, 2023
Oniani D, Sreekumar S, DeAlmeida R, DeAlmeida D, Hui V, Lee YJ, Zhang Y, Zhou L, Wang Y.   +8 more
europepmc   +1 more source

A user-study on online adaptation of neural machine translation to human post-edits

, 2020
© 2018, Springer Nature B.V. The advantages of neural machine translation (NMT) have been extensively validated for offline translation of several language pairs for different domains of spoken and written language.
Karimova S., Simianer P., Riezler S.
core  

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Boosting Neural Machine Translation with Similar Translations [PDF]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Jitao Xu 0001, Josep Maria Crego, Jean Senellart   +2 more
openaire   +1 more source

Additive‐Manufactured, Multifunctional Bioreactor Technology for Dynamic Culture of 3D Bioprinted Tissue Models

Advanced Materials Technologies, EarlyView.
We introduce an additively manufactured bioreactor with a perfusion flow system and integrated temperature and pH sensors for skeletal muscle tissue biofabrication. The bioreactor's performance was evaluated by assessing the viability, spreading of the myoblast cells in a printed scaffold, and contraction of the isolated murine musculi interossei ...
Lys Sprenger, Johann Schorzmann, Hsuan‐Heng Lu, Muhammad Osama, Julian Bauer, Michael Haug, Oliver Friedrich, Aldo R. Boccaccini, Frank Döpper, Sahar Salehi   +9 more
wiley   +1 more source

NEURAL NETWORK MACHINE TRANSLATION IN FOREIGN LANGUAGE TEACHING IN TECHNICAL UNIVERSITY

Russian Journal of Education and Psychology
Background. Mass usage of neural-network machine translation services by students of technical universities when studying foreign languages leads to the necessary changes in the working programme content and teaching instruments.
Irina S. Volegzhanina, Svetlana V. Chusovlyanova   +1 more
doaj   +1 more source

Improving neural machine translation with POS-tag features for low-resource language pairs. [PDF]

Heliyon, 2022
Hlaing ZZ, Thu YK, Supnithi T, Netisopakul P.   +3 more
europepmc   +1 more source