Results 201 to 210 of about 16,624 (311)

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

Whose voice matters? Word embeddings reveal identity bias in news quotes. [PDF]

EPJ Data Sci
Ohamadike N, Durrheim K, Primus M.
europepmc   +1 more source

Semantic projection recovers rich human knowledge of multiple object features from word embeddings. [PDF]

Nat Hum Behav, 2022
Grand G, Blank IA, Pereira F, Fedorenko E.   +3 more
europepmc   +1 more source

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

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

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Utility of word embeddings from large language models in medical diagnosis. [PDF]

J Am Med Inform Assoc
Yazdani S, Henry RC, Byrne A, Henry IC.
europepmc   +1 more source

WEClustering: word embeddings based text clustering technique for large datasets. [PDF]

Complex Intell Systems, 2021
Mehta V, Bawa S, Singh J.
europepmc   +1 more source

Word-Embedding-Based Traffic Document Classification Model for Detecting Emerging Risks Using Sentiment Similarity Weight [PDF]

, 2020
Minjeong Kim, JiSoo Kang, Kyungyong Chung   +2 more
openalex   +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

Correction: Cross-lingual hate speech detection using domain-specific word embeddings. [PDF]

PLoS One
Monnar AA, Perez Rojas J, Poblete B.
europepmc   +1 more source