Results 281 to 290 of about 2,007,432 (328)

3D‐Printed Ion‐Conductive Hydrogels with Tunable Mechanical–Electrical Properties for Multimodal Sign Language Recognition

open access: yesAdvanced Science, EarlyView.
This work successfully fabricated ion‐conductive hydrogels with low hysteresis and high conductivity using 3D printing technology. By adjusting the component ratios, the properties of the hydrogels can be tuned to meet diverse sensing requirements. Finally, a multimodal sensing sign language recognition system was constructed based on this hydrogel ...
Quan Hu   +9 more
wiley   +1 more source

Confusion matrices models tested on same data distribution as training.

open access: green
Alistair J. Hickman (22041888)   +4 more
openalex   +1 more source

Non‐Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures

open access: yesAdvanced Science, EarlyView.
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh   +10 more
wiley   +1 more source

Correction: The costs of subsidies and externalities of economic activities driving nature decline. [PDF]

open access: yesAmbio
Reyes-García V   +9 more
europepmc   +1 more source

Al Nanoparticle‐Decorated Metal Oxide Synaptic Transistors for Ultralow‐Energy Neuromorphic Computing with Wide Dynamic Range

open access: yesAdvanced Science, EarlyView.
A nanoparticle‐engineered electrolyte‐gated memtransistor is introduced as a materials‐level strategy to overcome the intrinsic trade‐off between energy consumption and synaptic precision. By embedding aluminum nanoparticles at the oxide–electrolyte interface to modulate ion trapping dynamics, the device achieves stable multistate plasticity under ...
Jun‐Gyu Choi   +4 more
wiley   +1 more source

Deep learning framework using UAV imagery for multi-disease detection in cereal crops. [PDF]

open access: yesSci Rep
Mahmood A   +5 more
europepmc   +1 more source

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