Results 161 to 170 of about 34,881 (227)
When bubbles bounce or stick. [PDF]
Zhang X, Xu Z, Wang S, Liew KM.
europepmc +1 more source
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen +3 more
wiley +1 more source
RELEAP: reinforcement-enhanced label-efficient active phenotyping for electronic health records. [PDF]
Yang Y +5 more
europepmc +1 more source
Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu +6 more
wiley +1 more source
HomoTherm: An Open-Source Approach to Modelling Heat Exchange in Humans and Other Hominins in Diverse Environments. [PDF]
Kearney MR, Mitchell D, Maloney SK.
europepmc +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Beyond coupling coordination: configuration mechanisms of cultural-tourism-sports industry integration in regional development. [PDF]
Zhang B, Yu M, Lu Y, Li J.
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Budget Impact of Secukinumab in Psoriatic Arthritis Patients with Contraindication to TNF-Alpha Inhibitors. [PDF]
Permsuwan U +2 more
europepmc +1 more source

