Results 61 to 70 of about 256,478 (282)
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
International Journal of Adaptive Control and Signal Processing, EarlyView.Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
A supervised topic embedding model and its application.
PLoS ONE, 2022 We propose rTopicVec, a supervised topic embedding model that predicts response variables associated with documents by analyzing the text data. Topic modeling leverages document-level word co-occurrence patterns to learn latent topics of each document ...
Weiran Xu, Koji Eguchi
doaj +1 more source
Jurnal Ilmu Komputer dan Informasi, 2022 Sentiment analysis regarding the COVID-19 vaccine can be obtained from social media because users usually express their opinions through social media.
Kartikasari Kusuma Agustiningsih +2 more
doaj +1 more source
WOVe: Incorporating Word Order in GloVe Word Embeddings
International Journal on Engineering, Science and Technology, 2022 Word vector representations open up new opportunities to extract useful information from unstructured text. Defining a word as a vector made it easy for the machine learning algorithms to understand a text and extract information from. Word vector representations have been used in many applications such word synonyms, word analogy, syntactic parsing ...
Mohammed Salah Ibrahim +3 more
openaire +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A Novel Hybrid Deep Learning Model for Sentiment Classification
IEEE Access, 2020 A massive use of social media platforms such as Twitter and Facebook by omnifarious organizations has increased the critical individual feedback on the situation, events, products, and services.
Mehmet Umut Salur, Ilhan Aydin
doaj +1 more source
Density Matching for Bilingual Word Embedding
, 2019 Recent approaches to cross-lingual word embedding have generally been based on linear transformations between the sets of embedding vectors in the two languages.
Ma, Xuezhe +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.Low‐consumable nickel ferrite‐based anodes for the Hall–Héroult process are compared with conventional prebaked carbon anodes using thermodynamic simulation and prospective life cycle assessment under contrasting future electricity system pathways from 2025 to 2050.
Felipe Alejandro Garcia Paz +6 more
wiley +1 more source
Compressing Word Embeddings [PDF]
, 2016 10 pages, 0 figures, submitted to ICONIP-2016. Previous experimental results were submitted to ICLR-2016, but the paper has been significantly updated, since a new experimental set-up worked much ...
openaire +2 more sources
Interaction of Ladle Slag With Varying SiO2 Content and Recyclate‐Based MgO–C Refractories
Advanced Engineering Materials, EarlyView.Ladle slags (CaO/Al2O3 = 1) with 1–20 wt% SiO2 were investigated in contact with industrial MgO–C refractories fabricated from fresh magnesia and 50 wt% recyclate. The sessile drop method at 1600°C reveals intensive gas formation, delayed slag infiltration in recyclate‐based samples, and, under high‐SiO2 slag, formation of a dense MgAl2O4‐rich ...
Anton Yehorov +6 more
wiley +1 more source