Results 181 to 190 of about 254,842 (278)

pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model. [PDF]

BMC Bioinformatics, 2023
Pratyush P, Pokharel S, Saigo H, Kc DB.
europepmc   +1 more source

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

Advanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid, Nirmal Kumar Ravikumar, Mattia Frascio, Sumanth Nagalakunta, Alessandro Seitone, Benoît Lévesque, Alessandro Zanella, Matteo Zoppi   +7 more
wiley   +1 more source

Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach. [PDF]

Sci Rep
Khalid M, Mushtaq MF, Akram U, Safran M, Alfarhood S, Ashraf I.   +5 more
europepmc   +1 more source

Bioinspired Soft‐Skeleton Robotics With Cooperative Shape Transformation and Stiffness Adaptation

Advanced Robotics Research, EarlyView.
A bioinspired soft‐skeleton robot that integrates variable‐stiffness chain skeletons into a soft textile skin is developed. The chain skeletons are highly flexible initially but can stiffen upon pneumatic actuation, enabling large deformation and enhanced load‐bearing capacity.
Mengyuan Niu, Xiaorui Hu, Chenmin Yuan, Haoyun Li, Xuzhong Su, Fengxin Sun   +5 more
wiley   +1 more source

Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding. [PDF]

PeerJ Comput Sci
Mustafa D, Khabour SM, Al-Kfairy M, Shatnawi A.   +3 more
europepmc   +1 more source

Examining Rural and Urban Sentiment Difference in COVID-19-Related Topics on Twitter: Word Embedding-Based Retrospective Study.

J Med Internet Res, 2023
Liu Y, Yin Z, Ni C, Yan C, Wan Z, Malin B.   +5 more
europepmc   +1 more source

Investigating the Efficient Use of Word Embedding with Neural-Topic Models for Interpretable Topics from Short Texts. [PDF]

Sensors (Basel), 2022
Murakami R, Chakraborty B.
europepmc   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

Approximating the semantic space: word embedding techniques in psychiatric speech analysis. [PDF]

Schizophrenia (Heidelb)
Palominos C, He R, Fröhlich K, Mülfarth RR, Seuffert S, Sommer IE, Homan P, Kircher T, Stein F, Hinzen W.   +9 more
europepmc   +1 more source

Word Embedding Reveals Cyfra 21-1 as a Biomarker for Chronic Obstructive Pulmonary Disease. [PDF]

J Korean Med Sci, 2021
Heo J, Moon DH, Hong Y, Bak SH, Kim J, Park JH, Oh BD, Kim YS, Kim WJ.   +8 more
europepmc   +1 more source