Results 121 to 130 of about 89,062 (279)
Towards semantic-rich word embeddings [PDF]
Annals of computer science and information systems, 2019 Grzegorz Beringer +4 more
doaj +1 more source
Deterministic Compression of Word Embeddings
IEEE AccessWord embeddings are an indispensable technology in the field of artificial intelligence, particularly when working with natural language processing models.
Yuki Nakamura +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.This research shows the development of hydrogels with Diels‐Alder click chemistry for engineering cartilage‐like tissue. The hydrogels support cartilage spheroids which could be cultured for at least 28 days. Furthermore, the spheroids showed a tendency to fuse together into a more consistent construct, and produced important components needed for ...
Sanne M. van de Looij +8 more
wiley +1 more source
Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.
PLoS ONE, 2019 This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model.
Sabih Ahmad Khan, Hsien-Tsung Chang
doaj +1 more source
Toward Word Embedding for Personalized Information Retrieval
, 2016 This paper presents preliminary works on using Word Embedding (word2vec) for query expansion in the context of Personalized Information Retrieval. Traditionally, word embeddings are learned on a general corpus, like Wikipedia.
Gery, Mathias +2 more
core +1 more source
Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture
Advanced Healthcare Materials, EarlyView.This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus +9 more
wiley +1 more source
On the Varieties of Fractal Geometry of Word Embeddings
Proceedings of the International Florida Artificial Intelligence Research Society ConferencePrior research showed the instability of word embeddings. That is, the neighborhoods of word vectors differ depending on corpora and training methods.
Anurag Naren Kallakunta +1 more
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Text Mining of CVD Synthesis Recipes for 2D Materials
Advanced Materials, EarlyView.A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu +11 more
wiley +1 more source