Results 171 to 180 of about 30,967 (217)
Design of a hybrid AI network circuit for epilepsy detection with 97.5% accuracy and low cost-latency. [PDF]
Sheng L+7 more
europepmc +1 more source
SGCD presents a novel approach for tissue spatial domain identification by employing interpolation to estimate inter‐spot gene expression and deconvolution to resolve cell‐type composition in both sampled and interstitial regions. By integrating gene expression, cell type, and spatial coordinates within a graph contrastive learning framework, SGCD ...
Tianjiao Zhang+7 more
wiley +1 more source
An <i>Intranet</i> of Things approach for adaptable control of behavioral and navigation-based experiments. [PDF]
Bowler JC+7 more
europepmc +1 more source
A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang+7 more
wiley +1 more source
Multi-Party Verifiably Collaborative Encryption for Biomedical Signals via Singular Spectrum Analysis-Based Chaotic Filter Bank Networks. [PDF]
Zhang X, He J, Ling BW.
europepmc +1 more source
Wide Linearity Range and Rapid‐Response Tactile Sensor Inspired by Parallel Structures
Inspired by parallel structures, a composite tactile sensor design is proposed using parallel elastomer integration, developing two novel sensors. This strategy optimizes the force‐electric response and viscoelastic hysteresis of the conductive composite, achieving a balanced enhancement of linear sensing range and fast response.
Weihua Gao+7 more
wiley +1 more source
Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety. [PDF]
Jahan MK+6 more
europepmc +1 more source
Synaptic Function in Memristor Devices for Neuromorphic Circuit Applications
Discover how neuromorphic devices mimic brain‐like learning: this article explores how ionic and electronic conduction processes enable artificial synapses to adapt across time scales. Uncover the essential ingredients—state‐variable dynamics, rectification, and memory—and how they can be probed through nonlinear diagnostics to engineer smarter, more ...
Juan Bisquert+3 more
wiley +1 more source
Enhanced convolutional neural network accelerators with memory optimization for routing applications. [PDF]
Nallabelli SP, Sampath S.
europepmc +1 more source
This study presents an ECRAM‐based physical reservoir computing system for real‐time electrocardiogram arrhythmia detection. By optimizing electrolyte ionic conductivity and channel ionic diffusivity, it achieves including non‐linear dynamics, millisecond‐scale tunable retention, low‐power operation, and minimal variation.
Kyumin Lee+3 more
wiley +1 more source