Results 121 to 130 of about 13,903 (231)
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
RBF Neural Network Sliding Mode Control for Passification of Nonlinear Time-Varying Delay Systems with Application to Offshore Cranes. [PDF]
Jiang B, Liu D, Karimi HR, Li B.
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease. [PDF]
Guo X +8 more
europepmc +1 more source
Distributions of intrinsic stacking fault energies (ISFE) among different slip planes in the face‐centered cubic Co2Ni2Ru alloy, predicted by three foundation potentials (DPA, Orb, and SevenNet) and density functional theory (DFT) calculations. This study evaluates the efficacy of three foundation potentials (FPs)—SevenNet, DPA, and Orb—in predicting ...
Subah Mubassira +8 more
wiley +1 more source
Shape Analysis and Recognition Method of Artworks Based on Computational Geometry
Traditional methods for shape analysis and recognition of artworks have many shortcomings in terms of precision, efficiency, and complex shape processing. Especially when faced with complex or abstract artworks, it is often difficult to provide accurate classification and recognition results.
Xiaohan Wang, Zhe Zhang
wiley +1 more source
Hybrid Prediction Method for ECG Signals Based on VMD, PSR, and RBF Neural Network. [PDF]
Huang F, Qin T, Wang L, Wan H.
europepmc +1 more source
Abstract Objective This study aims to analyze differences in pre‐implantation invasive electroencephalographic (IEEG) data between vagus nerve stimulation (VNS) responders (>50% seizure reduction) and VNS nonresponders (<50% seizure reduction). Methods We retrospectively identified 19 patients with drug‐resistant focal epilepsy who underwent IEEG ...
Štěpán Erben +12 more
wiley +1 more source
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source

