Results 301 to 310 of about 259,715 (355)
Rigorous frameworks construction toward the development of science‐based machine learning (ML) schemes: invocation of statistical learning and data‐driven methods within the diverse materials science fields, from materials characterization to molecular modeling utilizing domain knowledge to facilitate fundamental understanding and scientific discovery.
Niki Vergadou, Vassilios Constantoudis
wiley +1 more source
Enhancing photoacoustic trace gas detection via a CNN-transformer denoising framework. [PDF]
Zhang C +13 more
europepmc +1 more source
ABSTRACT Objective Anorexia nervosa (AN) is a metabolic‐psychiatric disorder characterized by severe weight loss, hypercortisolemia, and hypothalamic–pituitary–adrenal (HPA) axis activation. In this study, we investigated the effect of inhibiting cortisol regeneration via the enzyme 11β‐hydroxysteroid dehydrogenase type 1 (11β‐HSD1) on the ...
Hiroki Kawai +15 more
wiley +1 more source
Single-scan adaptive graph filtering for dynamic PET denoising by exploring intrinsic spatio-temporal structure. [PDF]
Guo S, Li X, Pan S, Zhang D.
europepmc +1 more source
All‐Optically Controlled Synapse‐Based Neuromorphic Vision System for Bioinformation Recognition
A highly reproducibility all‐optically controlled synapse is demonstrated, where optically controlled bidirectional synaptic plasticity is achieved by simply connecting ZnO (exhibiting reliable positive photoconductance) and Cs2CoCl4 (showing reliable negative photoconductance) in series without requiring additional voltage modulation.
Xinmiao Li +7 more
wiley +1 more source
Superimposed CSI Feedback Assisted by Inactive Sensing Information. [PDF]
Zhang M +6 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
CBCT-IDDNet: a three-dimensional Res-UNet based image domain denoising network for clinical dose cone-beam computed tomography-winner of the International Conference on Acoustics, Speech, and Signal Processing-2024 challenge. [PDF]
Zhao X, Wang X, Du Y, Peng Y.
europepmc +1 more source

