Results 191 to 200 of about 16,624 (311)

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Leveraging word embeddings to enhance co-occurrence networks: A statistical analysis. [PDF]

PLoS One
Amancio DR, Machicao J, Quispe LVC.
europepmc   +1 more source

Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. [PDF]

Proc Conf Assoc Comput Linguist Meet, 2022
Bajaj G, Nguyen V, Wijesiriwardene T, Yip HY, Javangula V, Parthasarathy S, Sheth A, Bodenreider O.   +7 more
europepmc   +1 more source

Multilingual Word Embedding and Linguistic Linked Open Data for Tracing Semantic Change

Florentina Armaselu, Barbara McGillivray, Chaya Liebeskind, Paola Marongiu, Giedrė Valūnaitė Oleškevičienė, Elena‐Simona Apostol, Ciprian‐Octavian Truică   +6 more
openalex   +1 more source

A New Corpus for Low-Resourced Sindhi Language with Word Embeddings. [PDF]

, 2019
Wazir Ali, Jay Kumar, Junyu Lu, Zenglin Xu   +3 more
openalex  

Fully Convolutional Network Bootstrapped by Word Encoding and Embedding\n for Activity Recognition in Smart Homes [PDF]

, 2020
Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoît Leduc, Ioannis Kanellos   +4 more
openalex   +1 more source

Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations

Advanced Robotics Research, EarlyView.
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley   +1 more source

Detecting gender bias in Arabic text through word embeddings. [PDF]

PLoS One
Mourad A, Abu Salem FK, Elbassuoni S.
europepmc   +1 more source

Negative Associations in Word Embeddings Predict Anti-black Bias across Regions-but Only via Name Frequency. [PDF]

Proc Int AAAI Conf Weblogs Soc Media, 2022
van Loon A, Giorgi S, Willer R, Eichstaedt J.   +3 more
europepmc   +1 more source

Learning Word Embeddings for Low-Resource Languages by PU Learning [PDF]

, 2018
Chao Jiang, Hsiang‐Fu Yu, Cho‐Jui Hsieh, Kai-Wei Chang   +3 more
openalex   +1 more source