Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source
Machine learning analysis based on deep learning for fatigue diagnostics in carbon fiber reinforced polymers. [PDF]
Salah Al-Shati A, Mohammed TJ.
europepmc +1 more source
A Spatiotemporal Deep Learning-Powered Electrohydrodynamic Framework for Fluid Viscosity Estimation
Cosimo Ieracitano +10 more
openalex +1 more source
Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spatiotemporal Meteorological Information [PDF]
Llinet Benavides César +2 more
openalex +1 more source
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu +8 more
wiley +1 more source
A Novel Graph Neural Network Method for Traffic State Estimation with Directional Wave Awareness. [PDF]
Lou X +8 more
europepmc +1 more source
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman +2 more
wiley +1 more source
Integrating psychological profiling with deep learning for enhanced boxing action recognition. [PDF]
Li T, Yan Y, Wen L.
europepmc +1 more source
Spatiotemporal Deep Learning for Target Classification in High-Resolution 3D-ISAR Radar Images
Obiajulu C. Emmanuel +5 more
openalex +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source

