Results 181 to 190 of about 96,400 (324)

Developing a sentence level fairness metric using word embeddings. [PDF]

Int J Digit Humanit, 2022
Izzidien A, Fitz S, Romero P, Loe BS, Stillwell D.   +4 more
europepmc   +1 more source

Software Requirements Classification Using Word Embeddings and Convolutional Neural Networks

, 2018
Vivian Lin Fong
openalex   +2 more sources

Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity [PDF]

, 2018
Tien, Huy Nguyen, Minh Le, Tomohiro Yamasaki, Tatsuya Izuha   +3 more
openalex   +1 more source

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

Advanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang, Benji Fenech‐Salerno, Antonio Alessio Leonardi, Federico La Barbera, Felice Torrisi   +4 more
wiley   +1 more source

Predicting cross-tissue hormone-gene relations using balanced word embeddings. [PDF]

Bioinformatics, 2022
Jadhav A, Kumar T, Raghavendra M, Loganathan T, Narayanan M.   +4 more
europepmc   +1 more source

3D‐Printed Dynamic Heart Model With Left‐Side Anatomy and Integrated Sensor for Edge‐to‐Edge Repair and Regurgitation Reduction

Advanced Materials Technologies, EarlyView.
This work presents a fully synthetic, 3D‐printed dynamic heart model with left‐side anatomy featuring sutured mitral valve chordae tendineae analogs, embedded actuators for physiologic wall contraction, and customized flexible pressure sensors for the left ventricle.
Alejandro Guillen Obando, Hongyi Shen, Myles McGovern, Yusen Zhang, Vivien Lin, Darryl Fu, Ryan Baumwart, Kaiyan Qiu   +7 more
wiley   +1 more source

Generating a Culturally and Linguistically Adapted Word Similarity Benchmark for Yucatec Maya

Inteligencia Artificial
In the field of AI, word embedding models have proven to be one of the most effective methods for capturing semantic and syntactic relationships between words, enabling significant advancements in natural language processing.
Alejandro Molina-Villegas, Joel Suro-Villalobos, Jorge Reyes-Magaña, Silvia Fernandez-Sabido   +3 more
doaj  

Gender-sensitive word embeddings for healthcare. [PDF]

J Am Med Inform Assoc, 2022
Agmon S, Gillis P, Horvitz E, Radinsky K.   +3 more
europepmc   +1 more source

Magnetic Droplet Manipulation on Open Surfaces

Advanced Materials Technologies, EarlyView.
Recent advances in the manipulation of magnetic droplets demonstrate various manipulations on open surfaces, including transport, splitting, merging, and force‐controlled motion, enabled by magnetic particles and external fields. ABSTRACT Manipulation of liquids on a smaller scale enables applications in various fields, particularly diagnostics and ...
Robab Jahangir, Vahid Nasirimarekani
wiley   +1 more source

iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength [PDF]

, 2021
Runtao Yang, Feng Wu, Chengjin Zhang, Lína Zhang   +3 more
openalex   +1 more source