Results 81 to 90 of about 15,054,030 (290)
2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures
Advanced Materials, EarlyView.A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti +10 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
A Comparison of Confidence Interval Methods of Fixed Effect in Nested Error Regression Model
SDÜ Fen Bilimleri Enstitüsü Dergisi, 2016 Linear mixed-effects models are very popular and powerful tools in many scientific fields such as zoology, biology, and education. Estimators of fixed effects do not only depend on the variances of error terms but they also depend on random terms in mixed-effect models.
AKDUR, Hatice Tül Kübra +2 more
openaire +6 more sources
Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]
, 2006 Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core +1 more source
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data
CoRR, 2018 We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity to train it. The model fuses orthographic information and context as a whole and is trained in an end-to-end fashion. This avoids feature engineering and does not rely on a noisy channel model as in
Hao Li +4 more
openaire +2 more sources
A Nested Demand Shares Model of Artificial Marine Habitat Choice by Sport Anglers [PDF]
There is growing public interest in the development of artificial habitats to enhance and diversify coastal marine resources for recreational and commercial uses. In this article, a hierarchical discrete choice model of recreational demand for artificial
Milon, J. Walter
core
A Generalized Neural Logit Model for Airport and Access Mode Choice in Germany [PDF]
, 2007 The purpose of this paper is to present a new kind of discrete choice model called "Generalized Neural Logit Model" applied exemplarily to the case of airport and access mode choice.
Gelhausen, Marc +1 more
core
Hybrid Continuum Robot Designs and Architectures for Healthcare Applications
Advanced Robotics Research, EarlyView.Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir +4 more
wiley +1 more source