Results 131 to 140 of about 192,314 (323)

Multi-Task Joint Learning Model for Chinese Word Segmentation and Syndrome Differentiation in Traditional Chinese Medicine. [PDF]

Int J Environ Res Public Health, 2022
Hu C, Zhang S, Gu T, Yan Z, Jiang J.
europepmc   +1 more source

The first international Chinese word segmentation Bakeoff [PDF]

, 2003
Richard Sproat, Thomas E. Emerson
openalex   +1 more source

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou, Yu Mao, Mengyao Chang, Ziyun Wang, Wenke Xie, Cuizhu Ye, Shanghai Wei, Lars Thomsen, Geoffrey I. N. Waterhouse   +8 more
wiley   +1 more source

Spoken Word Segmentation in First and Second Language: When ERP and Behavioral Measures Diverge. [PDF]

Front Psychol, 2021
Gilbert AC, Lee JG, Coulter K, Wolpert MA, Kousaie S, Gracco VL, Klein D, Titone D, Phillips NA, Baum SR.   +9 more
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Multi-Level Segmentation Data Generation Based on a Scene-Specific Word Tree

IEEE Access
We, humans, perceive the scene utilizing pre-learned language categories. Our vocabulary system inherently possesses a hierarchy, aiding humans in understanding scenes at multiple levels.
Soomin Kim, Juyoun Park
doaj   +1 more source

Contrasting off-line segmentation decisions with on-line word segmentation during reading. [PDF]

Br J Psychol, 2021
He L, Song Z, Chang M, Zang C, Yan G, Liversedge SP.   +5 more
europepmc   +1 more source

Integrating ngram model and case-based learning for Chinese word segmentation [PDF]

, 2003
Chunyu Kit, Zhiming Xu, Jonathan J. Webster   +2 more
openalex   +1 more source

Word segmentation and mapping in early word learning

, 2019
Comparative study with infants differing in gestational age at birth, tested on a dual word segmentation and mapping task with natural language passages and visual cues to facilitate word extraction and word-referent association, two abilities linked to vocabulary building.
Laura Bosch, Maria Teixidó, Thais Agut
openaire   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source