Energy consumption analysis and optimization in collaborative robots. [PDF]
Miranda S +2 more
europepmc +1 more source
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley +1 more source
A wearable deep brain stimulation system for behavioral studies in rodents. [PDF]
Shen Y +6 more
europepmc +1 more source
Power Prediction in Offshore Wind Farms using Transferable Multi-Task Graph Neural Networks
Simon Daenens +4 more
openalex +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Federated asynchronous graph attention network with structural semantic embedding for multi-label graph classification. [PDF]
Ji X +5 more
europepmc +1 more source
Improving trustworthiness of data-driven power grid contingency analysis with Bayesian residual graph neural networks [PDF]
Nicholas Casaprima +3 more
openalex +1 more source
Purcell‐Enhanced Spectrally Precise Emission in Dual‐Microcavity Organic Light‐Emitting Diodes
Spectrally precise emission from broadband organic light‐emitting diodes is realized via a dual‐microcavity strategy. This architecture achieves narrowband emission (full width at half maximum, FWHM = 21 nm) with ultrapure color approaching BT.2020 by enhancing the Purcell effect via coupling of excitons with dual‐microcavity resonance.
Jun Yong Kim +3 more
wiley +1 more source
Optimized energy management of PV-Powered lighting system for smart cities using perfumer optimization algorithm and graph ensemble neural network. [PDF]
Hussain Z +8 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

